This document discusses the social media analysis solution space. It describes who the solution providers are (researchers, software, services), what they provide (social media analysis and analytics-infused advisory services), who they serve (business users), and how (through various technologies). The document also outlines some key business questions that social media analysis can help answer, and the different approaches taken by industry to work backwards from goals and insights to determine appropriate data, methods, and presentations.
Spring Splash 3.4.2019: When AI Meets Ethics by Meeri Haataja Saidot
Meeri Haataja's keyote 'When AI Meets Ethics' at Keväthumaus 2019 / Spring Splash 2019 (organised by Väestörekisterikeskus / Population Register Centre).
Responsible AI: An Example AI Development Process with Focus on Risks and Con...Patrick Van Renterghem
Organisations need to make sure that they use AI in an appropriate way. Martijn and Hugo explain how to ensure that the developments are ethically sound and comply with regulations, how to have end-to-end governance, and how to address bias and fairness, interpretability and explainability, and robustness and security.
During the conference, we looked at an example AI development process with focussing on the risks to be managed and the controls that can be established.
Future value of data world map infographic 2018Future Agenda
This is a summary of some key insights on how different experts around the world see the future value of data. It brings together the top 3 challenges, opportunities and emerging issues from each of 30 workshops held in key locations this year and highlights notable areas of global agreement as well as regional variation in views. We thank all hosts and participants for their fantastic support for the project.
Over the next few weeks we will be curating a synthesis of all the core insights, foresights and future implications to share and will then follow on with the full global report and supporting media. We hope that this initial view is useful to you and if you need more information on this project please see the varied items on the future agenda main website futureagenda.org
Re thinking regulation at the age of AILofred Madzou
This is a presentation of the keynote that Lofred Madzou (AI Project Lead at the World Economic Forum) gave on October 14th at the Instituto Nacional de Defensa de la Competencia y la Propiedad Intelectual (INDECOPI) in Lima. It presents some of the most important policy challenges associated with the development of means to address them.
EXECUTIVE SUMMARY
At the core of the cascading scandals around AI in 2018 are questions of accountability: who is responsible when AI systems harm us? How do we understand these harms, and how do we
remedy them? Where are the points of intervention, and what additional research and regulation is needed to ensure those interventions are effective? Currently there are few answers to these questions, and the frameworks presently governing AI are not capable of ensuring accountability.
As the pervasiveness, complexity, and scale of these systems grow, the lack of meaningful accountability and oversight – including basic safeguards of responsibility, liability, and due
process – is an increasingly urgent concern.
Building on our 2016 and 2017 reports, the AI Now 2018 Report contends with this central problem and addresses the following key issues:
1. The growing accountability gap in AI, which favors those who create and deploy these technologies at the expense of those most affected
2. The use of AI to maximize and amplify surveillance, especially in conjunction with facial and affect recognition, increasing the potential for centralized control and oppression
3. Increasing government use of automated decision systems that directly impact individuals and communities without established accountability structures
4. Unregulated and unmonitored forms of AI experimentation on human populations
5. The limits of technological solutions to problems of fairness, bias, and discrimination
Within each topic, we identify emerging challenges and new research, and provide recommendations regarding AI development, deployment, and regulation. We offer practical
pathways informed by research so that policymakers, the public, and technologists can better understand and mitigate risks. Given that the AI Now Institute’s location and regional expertise is concentrated in the U.S., this report will focus primarily on the U.S. context, which is also where several of the world’s largest AI companies are based.
This document discusses the social media analysis solution space. It describes who the solution providers are (researchers, software, services), what they provide (social media analysis and analytics-infused advisory services), who they serve (business users), and how (through various technologies). The document also outlines some key business questions that social media analysis can help answer, and the different approaches taken by industry to work backwards from goals and insights to determine appropriate data, methods, and presentations.
Spring Splash 3.4.2019: When AI Meets Ethics by Meeri Haataja Saidot
Meeri Haataja's keyote 'When AI Meets Ethics' at Keväthumaus 2019 / Spring Splash 2019 (organised by Väestörekisterikeskus / Population Register Centre).
Responsible AI: An Example AI Development Process with Focus on Risks and Con...Patrick Van Renterghem
Organisations need to make sure that they use AI in an appropriate way. Martijn and Hugo explain how to ensure that the developments are ethically sound and comply with regulations, how to have end-to-end governance, and how to address bias and fairness, interpretability and explainability, and robustness and security.
During the conference, we looked at an example AI development process with focussing on the risks to be managed and the controls that can be established.
Future value of data world map infographic 2018Future Agenda
This is a summary of some key insights on how different experts around the world see the future value of data. It brings together the top 3 challenges, opportunities and emerging issues from each of 30 workshops held in key locations this year and highlights notable areas of global agreement as well as regional variation in views. We thank all hosts and participants for their fantastic support for the project.
Over the next few weeks we will be curating a synthesis of all the core insights, foresights and future implications to share and will then follow on with the full global report and supporting media. We hope that this initial view is useful to you and if you need more information on this project please see the varied items on the future agenda main website futureagenda.org
Re thinking regulation at the age of AILofred Madzou
This is a presentation of the keynote that Lofred Madzou (AI Project Lead at the World Economic Forum) gave on October 14th at the Instituto Nacional de Defensa de la Competencia y la Propiedad Intelectual (INDECOPI) in Lima. It presents some of the most important policy challenges associated with the development of means to address them.
EXECUTIVE SUMMARY
At the core of the cascading scandals around AI in 2018 are questions of accountability: who is responsible when AI systems harm us? How do we understand these harms, and how do we
remedy them? Where are the points of intervention, and what additional research and regulation is needed to ensure those interventions are effective? Currently there are few answers to these questions, and the frameworks presently governing AI are not capable of ensuring accountability.
As the pervasiveness, complexity, and scale of these systems grow, the lack of meaningful accountability and oversight – including basic safeguards of responsibility, liability, and due
process – is an increasingly urgent concern.
Building on our 2016 and 2017 reports, the AI Now 2018 Report contends with this central problem and addresses the following key issues:
1. The growing accountability gap in AI, which favors those who create and deploy these technologies at the expense of those most affected
2. The use of AI to maximize and amplify surveillance, especially in conjunction with facial and affect recognition, increasing the potential for centralized control and oppression
3. Increasing government use of automated decision systems that directly impact individuals and communities without established accountability structures
4. Unregulated and unmonitored forms of AI experimentation on human populations
5. The limits of technological solutions to problems of fairness, bias, and discrimination
Within each topic, we identify emerging challenges and new research, and provide recommendations regarding AI development, deployment, and regulation. We offer practical
pathways informed by research so that policymakers, the public, and technologists can better understand and mitigate risks. Given that the AI Now Institute’s location and regional expertise is concentrated in the U.S., this report will focus primarily on the U.S. context, which is also where several of the world’s largest AI companies are based.
Data and Ethics: Why Data Science Needs OneTim Rich
This was a talk I gave at SXSW 2016. It outlines the current state of applied ethics in data science as a profession. Describes key reasons a code should be constructed and also proposes a framework to begin discussion.
An introduction to the topic of ethics and big data ending with questions about how to teach data journalists. Part of the Berkman Center for Internet & Society's Study group "Teaching Data Storytelling for Civic Impact".
Revelations about how data about us is shared by companies like Facebook have caused alarm and raised important questions about the use and misuse of personal data. How do we enable people, organisations and communities to use data to make better decisions and be protected from any of its harmful impacts? This session will discuss the issues around this topic and demonstrate a new approach for organisations to identify and manage data ethics considerations: the Data Ethics Canvas.
Future of value of data interim summary aug 2018-compressedFuture Agenda
How will data be valued in the future and what are the key implications? What will this mean for business, for society and for individuals around the world? Ahead of the final expert workshops in the 2018 future value of data project, this is an interim summary of key insights to date.
This detailed presentation covers 7 areas:
Scope of Project
What is Data?
Areas of Agreement
Issues of Debate
Regionally Specific Topics
Questions on Value
Next Steps
To complete the research, over the next two months we will host more expert workshops across Europe and the Americas plus two more in Asia.
We will then prepare a synthesis of all the different expert views we have heard and, as with all our projects, share a global report for open use by all.
If you would like to be involved in the upcoming events, do let us know.
This document summarizes a presentation on big data given by Sir Mark Walport, the UK's Chief Scientific Adviser. It discusses the opportunities and risks of big data, including how it can improve health and infrastructure but also enable privacy violations. While data can be anonymized, it is difficult to fully protect privacy due to the ability to match anonymous data with other public datasets. Both utopian and dystopian futures are possible depending on how data is governed and balanced with individual privacy. Moving forward will require advances in technology, open communication, and governance measures to control data access.
The document discusses a panel discussion on the digital person held at the 2022 Fifth Digital Person Symposium. The panel included four experts:
1. Jon Crowcroft who discussed digital identity and trust as cornerstones of the digital economy.
2. Irene Ng who discussed the progress, challenges and opportunities regarding the state of the digital person.
3. Yongjin Yoo who discussed the emergence of next-generation digital platforms and the need to focus on individuals rather than just being provider-centric.
4. Jim Spohrer who moderated a Q&A session with the panelists and all participants.
The document introduces an upcoming webcast and book on the ethics of big data. It discusses creating a common vocabulary and framework for discussing big data ethics. It outlines key concepts that will be reviewed, including the four aspects of big data ethics (identity, privacy, ownership, reputation), ethical decision points, aligning values and actions, and using value personas. The goal is to raise awareness and have more productive discussions about the influence of values on big data actions.
Part I. Artificial Intelligence Applications for Patents
1. AI Innovations
Video Link: https://www.youtube.com/watch?v=z0GuRDLHRYU
AI Innovation Frontline
Top 100 AI Technology Innovation Entities
AI Demos: Autonomous Cars
AI Demos: Digital Human/Avatar
AI vs. Human
2. AI Application Demos
Video Link:https://www.youtube.com/watch?v=yoPkP-BZAa8
Computer Vision/Healthcare:
(CBIR) Content Based Image Retrieval for eye disease/chest X-ray diagnostics
Natural Language Processing/Understanding/Generation:
Hugging Face BERT Sentence Completion/ Text Classification/Question Answer
Sentence BERT Movie Recommender
Facebook ParlAI Chatbot
Finance:
Credit Card Fraud Detection
Stock Price Prediction
Stock Trade Simulation
Financial Statements Analysis
3. Artificial Intelligence Applications for Patents Demos
Video Link: https://www.youtube.com/watch?v=kVmHmh0Kbos
Patent Word Cloud Analysis
I & Blockchain patents
Patent Semantic Search
AI patents search using an abstract
LTE standard essential patent search using a standard specification
Patent Text Translation
English patent to German/French/Chinese/Japanese
Patent Text Summarization
legal/patent/technical text
Patent Classifier
AI CPC classification
RFID technology landscaping
LTE standard essential patent classification
AI+Blockchain+IoT convergence research
Patent Claim Generation
AI & Blockchain patent claim automatic generation
Claim Charts for Standard Essential Patents
[Prerequisite] pre-trained/fine-tuned BERT/GPT2 models using specific standard specifications
Part II. Blockchain Applications for Patents
1. Blockchain Innovation Status and Applications
Video Link:https://www.youtube.com/watch?v=l8cq-DB7VbM
Top 100 Blockchain Technology Innovation Entities
Blockchain Innovation Frontline
AI+Blockchain+IoT Convergence
AI+Blockchain System Demo for Medical Data Sharing
AI+ Blockchain System Demo for E-Commerce Use Case
2. DeFi Based Patent Monetization Platform Development
Video Link: https://www.youtube.com/watch?v=JarYMPIxlr4
Ethics of Big Data is about finding alignment between an organization's core values and their day-to-day actions in a way that balances risk and innovation. As Big Data brings business operations and practices deeper and more fully into individual lives, it is creating a forcing function that raises ethical questions about our values around concepts like identity, privacy, ownership, and reputation. How we understand those values and align them with our actions when innovating products and services using Big Data technologies benefits from a framework that provides a common vocabulary and encourages explicit discussion.
The material will address the intersection of ethics and Big Data; what it is and what it isn't. Specifically, how to approach and generate dialog about an abstract subject with direct, real-world implications. A general framework for talking about ethics in the context of Big Data will be introduced.
Aspects include:
1. Direct relevance to your data handling practices
2. How Big Data is influencing important concepts including identity, privacy, ownership, and reputation
3. Ethical Decision Points
4. Value Personas as a tool for encouraging discussion and generating agreement and alignment between values and actions
5. Balancing the benefits of Big Data innovation and the risks of harm
The webcast will present key concepts from the forthcoming book Ethics of Big Data
Law, Ethics and Tech Aspects for an Irrevocable BlockChain Based Curriculum V...eraser Juan José Calderón
Law, Ethics and Tech Aspects for an Irrevocable
BlockChain Based Curriculum Vitae Created by Big
Data Analytics Fed by Internet of Things, Sensors and
Approved Data Sources. Vasilios Kanavas, Athanasios Zisopoulos & Konstantinos Spinthiropoulos
The document discusses the Internet of Things (IoT), including its history, components, applications, advantages, and disadvantages. It provides examples of real-time IoT devices and discusses how IoT will affect business and work. The main applications of IoT discussed are smart homes, wearables, smart cities, smart grids, industrial internet, connected cars, connected health, smart retail, smart supply chains, and smart farming. The document concludes that while IoT has security and privacy disadvantages, its advantages of saving time and money will lead to its increased common use in households and companies.
Contents
I. AI, Blockchain, IoT Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Technology Innovation Evolution
3. Technology Innovation Status in Innovation Country
4. Technology Innovation Status in CPC Classification
5. Technology Innovation Status in Specific Technology
A. Deep RL Technology Innovation Status
B. Deep Learning for Autonomous Vehicle Technology Innovation Status
C. Deep Learning for 5G Technology Innovation Status
D. Deep Learning for Cybersecurity Technology Innovation Status
E. Blockchain Privacy Technology Innovation Status
F. Blockchain Interoperability Technology Innovation Status
G. Blockchain DID Technology Innovation Status
H. Blockchain Toknization Technology Innovation Status
II. AI Blockchain IoT Convergence Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Convergence Technology Innovation Status in Convergence Field
3. Convergence Technology Innovation Evolution
4. Technology Innovation Status in Innovation Country
5. Technology Innovation Status in CPC Classification
6. Technology Innovation Status in Specific Application
Privacy-preserving Blockchain-based AI Data/Model Marketplace
Blockchain-based Decentralized Machine Learning Platform
Blockchain-based Secure Telehealth-diagnostic System
Peer-to-Peer Micro-Loan Transaction System
Predictive Maintenance Platform for Industrial Machine using Industrial IoT
Blockchain Augmented IoT System for Dynamic Supply Chain Tracking
Decentralized Energy Management Utilizing Blockchain Technology
Provisioning Edge Devices in Mobile Carrier Network as Compute Nodes in Blockchain Network
Distributed Handoff-related Processing for Wireless Networks
III. Appendix
1. AI Blockchain IoT Convergence AT A Glance
2. AI, Blockchain, IoT for Finance AT A Glance
3. AI, Blockchain, IoT for Healthcare AT A Glance
4. 5G Based AI + Blockchain + IoT Convergence AT A Glance
Research on Legal Protection of Data Rights of E Commerce Platform OperatorsYogeshIJTSRD
With the advent of the era of big data, the utilization rate of data in business activities is getting higher and higher, and the competition is also getting bigger and bigger, and the disputes about data among operators of e commerce platform are also increasing. At present, there is a relative lack of laws and regulations on data rights and interests of e commerce platform operators in China. E commerce platform operators do not have specific and in depth clarity on data collation, collection and processing, which is not comprehensive. With the rapid development of big data in European and American countries in the 20th century, the corresponding laws and regulations and theoretical academic research also appear. China can study the similarities, which has great reference significance for the development of big data and the improvement of laws and regulations in China. This paper will investigate and study the data rights and interests of e commerce platform operators, and deeply analyze the characteristics, attributes, protection mode and basic principles of data rights and interests, especially the legal regulation of e commerce platform operators data rights and interests. Combined with the law of e commerce, the law of data security, the law of network security, the law of personal information protection and other relevant legal theories, this paper analyzes the data rights and interests of e commerce platform operators, discusses the legal protection and implementation practice of the data rights and interests, and puts forward some countermeasures to improve the legislation, law enforcement and judicial protection. For the boundary coordination between operator data and user data of e commerce platform, this paper analyzes and divides the boundary, and puts forward relevant improvement countermeasures. China needs to speed up the improvement of e commerce platform operators data rights and interests protection legislation, improve the regulation of e commerce platform operators unfair competition behavior Improve the legal regulation of data monopoly of e commerce platform operators, bring enterprise data into the adjustment scope of anti monopoly law, and investigate the legal responsibility after data monopoly The data rights of the operators of e commerce platform should be given clearly Improve the allocation of data legal liability of operators of e commerce platform. Changjun Wu | Wenyu Wei "Research on Legal Protection of Data Rights of E-Commerce Platform Operators" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd44955.pdf Paper URL: https://www.ijtsrd.com/management/law-and-management/44955/research-on-legal-protection-of-data-rights-of-ecommerce-platform-operators/changjun-wu
AI/Robotics
1. Representation Learning for Natural Language Processing (NLP)
2. Automated Machine Learning (AutoML)
3. Artificial Intelligence for Security
4. Artificial Intelligence Business Applications
5. Unsupervised Machine Learning for Knowledge Discovery
6. AI based Robot Control
7. Machine Learning for Robotics
8. Ethics in Robotics and AI
AI+Blockchain
AI & Blockchain for Cognitive Radio Dynamic Spectrum Management
AI+IoT
Machine Learning for Cyber Physical Systems
Blockchain
1. Blockchain and Crypto Currency
2. Bitcoin and Beyond
IoT
1.Scalable Internet of Things
2.Energy Internet of Things (eIoT)
3. Internet of Things Security
Big data/Data Science
1. Big Data in Context
2. Data Science for Global Health
3. Data Journeys in the Sciences
4. Python Programming
Cybersecurity/Data Security
1. Cybersecurity for Business
2. Security Infrastructure Technology for Integrated Utilization of Big Data
Digital Transformation
1. Digital Transformation in Semiconductor Manufacturing
2. Digital Twins
"Towards Value-Centric Big Data" e-SIDES Workshop - Slide-decke-SIDES.eu
This is the slide-deck of the workshop held on April 2, 2019 in Brussels, titled "Towards Value-Centric Big Data". It includes the presentations given by the speakers.
Hacking the DNA of humanity with Blockchain and AI by Dinis GuardaDinis Guarda
Hacking the dna of humanity with blockchain and AI
What is the biggest challenge humanity faces now?
DNA OF OUR TIME = TECH - DATA + BLOCKCHAIN + AI
Humanity data code = DNA!
What happens when we can hack this code?
(This is Now?)
IoT Startup State of The Union 2016--Wing Venture CapitalMartin Giles
At Wing, we have spent the past few months researching the state of the Internet of Things startup ecosystem. This presentation summarizes some of our initial high-level findings. An accompanying commentary can be found at www.wing.vc/blog
How Businesses & Governments Can Prosper with Blockchain AI Tech by Dinis GuardaDinis Guarda
As blockchain, AI, fintech, and data-driven solutions become integrated into more core systems and daily operations, businesses and governments will need to adapt quickly to remain competitive in the digital future.
Beyond the hype and the media-fueled apocalyptic scenarios, let's analyze what A.I really
means for the future of the industrial world.
I'll demystify what’s beyond the buzzwords of the moment, and have a close look at A.I,
Blockchain and IoT, illustrated with some real-world use-cases.
I'll finally propose a few scenarios where these three technologies could converge into the 3rd era of the Internet.
Looking for a career in AI ethics? Enrol in USAII certifications and land the best career opportunity in AI engineering, AI consultancy, and AI scientists roles. Begin with the most credible AI certifications worldwide!
Learn more: https://bit.ly/3SdLAuD
Data and Ethics: Why Data Science Needs OneTim Rich
This was a talk I gave at SXSW 2016. It outlines the current state of applied ethics in data science as a profession. Describes key reasons a code should be constructed and also proposes a framework to begin discussion.
An introduction to the topic of ethics and big data ending with questions about how to teach data journalists. Part of the Berkman Center for Internet & Society's Study group "Teaching Data Storytelling for Civic Impact".
Revelations about how data about us is shared by companies like Facebook have caused alarm and raised important questions about the use and misuse of personal data. How do we enable people, organisations and communities to use data to make better decisions and be protected from any of its harmful impacts? This session will discuss the issues around this topic and demonstrate a new approach for organisations to identify and manage data ethics considerations: the Data Ethics Canvas.
Future of value of data interim summary aug 2018-compressedFuture Agenda
How will data be valued in the future and what are the key implications? What will this mean for business, for society and for individuals around the world? Ahead of the final expert workshops in the 2018 future value of data project, this is an interim summary of key insights to date.
This detailed presentation covers 7 areas:
Scope of Project
What is Data?
Areas of Agreement
Issues of Debate
Regionally Specific Topics
Questions on Value
Next Steps
To complete the research, over the next two months we will host more expert workshops across Europe and the Americas plus two more in Asia.
We will then prepare a synthesis of all the different expert views we have heard and, as with all our projects, share a global report for open use by all.
If you would like to be involved in the upcoming events, do let us know.
This document summarizes a presentation on big data given by Sir Mark Walport, the UK's Chief Scientific Adviser. It discusses the opportunities and risks of big data, including how it can improve health and infrastructure but also enable privacy violations. While data can be anonymized, it is difficult to fully protect privacy due to the ability to match anonymous data with other public datasets. Both utopian and dystopian futures are possible depending on how data is governed and balanced with individual privacy. Moving forward will require advances in technology, open communication, and governance measures to control data access.
The document discusses a panel discussion on the digital person held at the 2022 Fifth Digital Person Symposium. The panel included four experts:
1. Jon Crowcroft who discussed digital identity and trust as cornerstones of the digital economy.
2. Irene Ng who discussed the progress, challenges and opportunities regarding the state of the digital person.
3. Yongjin Yoo who discussed the emergence of next-generation digital platforms and the need to focus on individuals rather than just being provider-centric.
4. Jim Spohrer who moderated a Q&A session with the panelists and all participants.
The document introduces an upcoming webcast and book on the ethics of big data. It discusses creating a common vocabulary and framework for discussing big data ethics. It outlines key concepts that will be reviewed, including the four aspects of big data ethics (identity, privacy, ownership, reputation), ethical decision points, aligning values and actions, and using value personas. The goal is to raise awareness and have more productive discussions about the influence of values on big data actions.
Part I. Artificial Intelligence Applications for Patents
1. AI Innovations
Video Link: https://www.youtube.com/watch?v=z0GuRDLHRYU
AI Innovation Frontline
Top 100 AI Technology Innovation Entities
AI Demos: Autonomous Cars
AI Demos: Digital Human/Avatar
AI vs. Human
2. AI Application Demos
Video Link:https://www.youtube.com/watch?v=yoPkP-BZAa8
Computer Vision/Healthcare:
(CBIR) Content Based Image Retrieval for eye disease/chest X-ray diagnostics
Natural Language Processing/Understanding/Generation:
Hugging Face BERT Sentence Completion/ Text Classification/Question Answer
Sentence BERT Movie Recommender
Facebook ParlAI Chatbot
Finance:
Credit Card Fraud Detection
Stock Price Prediction
Stock Trade Simulation
Financial Statements Analysis
3. Artificial Intelligence Applications for Patents Demos
Video Link: https://www.youtube.com/watch?v=kVmHmh0Kbos
Patent Word Cloud Analysis
I & Blockchain patents
Patent Semantic Search
AI patents search using an abstract
LTE standard essential patent search using a standard specification
Patent Text Translation
English patent to German/French/Chinese/Japanese
Patent Text Summarization
legal/patent/technical text
Patent Classifier
AI CPC classification
RFID technology landscaping
LTE standard essential patent classification
AI+Blockchain+IoT convergence research
Patent Claim Generation
AI & Blockchain patent claim automatic generation
Claim Charts for Standard Essential Patents
[Prerequisite] pre-trained/fine-tuned BERT/GPT2 models using specific standard specifications
Part II. Blockchain Applications for Patents
1. Blockchain Innovation Status and Applications
Video Link:https://www.youtube.com/watch?v=l8cq-DB7VbM
Top 100 Blockchain Technology Innovation Entities
Blockchain Innovation Frontline
AI+Blockchain+IoT Convergence
AI+Blockchain System Demo for Medical Data Sharing
AI+ Blockchain System Demo for E-Commerce Use Case
2. DeFi Based Patent Monetization Platform Development
Video Link: https://www.youtube.com/watch?v=JarYMPIxlr4
Ethics of Big Data is about finding alignment between an organization's core values and their day-to-day actions in a way that balances risk and innovation. As Big Data brings business operations and practices deeper and more fully into individual lives, it is creating a forcing function that raises ethical questions about our values around concepts like identity, privacy, ownership, and reputation. How we understand those values and align them with our actions when innovating products and services using Big Data technologies benefits from a framework that provides a common vocabulary and encourages explicit discussion.
The material will address the intersection of ethics and Big Data; what it is and what it isn't. Specifically, how to approach and generate dialog about an abstract subject with direct, real-world implications. A general framework for talking about ethics in the context of Big Data will be introduced.
Aspects include:
1. Direct relevance to your data handling practices
2. How Big Data is influencing important concepts including identity, privacy, ownership, and reputation
3. Ethical Decision Points
4. Value Personas as a tool for encouraging discussion and generating agreement and alignment between values and actions
5. Balancing the benefits of Big Data innovation and the risks of harm
The webcast will present key concepts from the forthcoming book Ethics of Big Data
Law, Ethics and Tech Aspects for an Irrevocable BlockChain Based Curriculum V...eraser Juan José Calderón
Law, Ethics and Tech Aspects for an Irrevocable
BlockChain Based Curriculum Vitae Created by Big
Data Analytics Fed by Internet of Things, Sensors and
Approved Data Sources. Vasilios Kanavas, Athanasios Zisopoulos & Konstantinos Spinthiropoulos
The document discusses the Internet of Things (IoT), including its history, components, applications, advantages, and disadvantages. It provides examples of real-time IoT devices and discusses how IoT will affect business and work. The main applications of IoT discussed are smart homes, wearables, smart cities, smart grids, industrial internet, connected cars, connected health, smart retail, smart supply chains, and smart farming. The document concludes that while IoT has security and privacy disadvantages, its advantages of saving time and money will lead to its increased common use in households and companies.
Contents
I. AI, Blockchain, IoT Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Technology Innovation Evolution
3. Technology Innovation Status in Innovation Country
4. Technology Innovation Status in CPC Classification
5. Technology Innovation Status in Specific Technology
A. Deep RL Technology Innovation Status
B. Deep Learning for Autonomous Vehicle Technology Innovation Status
C. Deep Learning for 5G Technology Innovation Status
D. Deep Learning for Cybersecurity Technology Innovation Status
E. Blockchain Privacy Technology Innovation Status
F. Blockchain Interoperability Technology Innovation Status
G. Blockchain DID Technology Innovation Status
H. Blockchain Toknization Technology Innovation Status
II. AI Blockchain IoT Convergence Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Convergence Technology Innovation Status in Convergence Field
3. Convergence Technology Innovation Evolution
4. Technology Innovation Status in Innovation Country
5. Technology Innovation Status in CPC Classification
6. Technology Innovation Status in Specific Application
Privacy-preserving Blockchain-based AI Data/Model Marketplace
Blockchain-based Decentralized Machine Learning Platform
Blockchain-based Secure Telehealth-diagnostic System
Peer-to-Peer Micro-Loan Transaction System
Predictive Maintenance Platform for Industrial Machine using Industrial IoT
Blockchain Augmented IoT System for Dynamic Supply Chain Tracking
Decentralized Energy Management Utilizing Blockchain Technology
Provisioning Edge Devices in Mobile Carrier Network as Compute Nodes in Blockchain Network
Distributed Handoff-related Processing for Wireless Networks
III. Appendix
1. AI Blockchain IoT Convergence AT A Glance
2. AI, Blockchain, IoT for Finance AT A Glance
3. AI, Blockchain, IoT for Healthcare AT A Glance
4. 5G Based AI + Blockchain + IoT Convergence AT A Glance
Research on Legal Protection of Data Rights of E Commerce Platform OperatorsYogeshIJTSRD
With the advent of the era of big data, the utilization rate of data in business activities is getting higher and higher, and the competition is also getting bigger and bigger, and the disputes about data among operators of e commerce platform are also increasing. At present, there is a relative lack of laws and regulations on data rights and interests of e commerce platform operators in China. E commerce platform operators do not have specific and in depth clarity on data collation, collection and processing, which is not comprehensive. With the rapid development of big data in European and American countries in the 20th century, the corresponding laws and regulations and theoretical academic research also appear. China can study the similarities, which has great reference significance for the development of big data and the improvement of laws and regulations in China. This paper will investigate and study the data rights and interests of e commerce platform operators, and deeply analyze the characteristics, attributes, protection mode and basic principles of data rights and interests, especially the legal regulation of e commerce platform operators data rights and interests. Combined with the law of e commerce, the law of data security, the law of network security, the law of personal information protection and other relevant legal theories, this paper analyzes the data rights and interests of e commerce platform operators, discusses the legal protection and implementation practice of the data rights and interests, and puts forward some countermeasures to improve the legislation, law enforcement and judicial protection. For the boundary coordination between operator data and user data of e commerce platform, this paper analyzes and divides the boundary, and puts forward relevant improvement countermeasures. China needs to speed up the improvement of e commerce platform operators data rights and interests protection legislation, improve the regulation of e commerce platform operators unfair competition behavior Improve the legal regulation of data monopoly of e commerce platform operators, bring enterprise data into the adjustment scope of anti monopoly law, and investigate the legal responsibility after data monopoly The data rights of the operators of e commerce platform should be given clearly Improve the allocation of data legal liability of operators of e commerce platform. Changjun Wu | Wenyu Wei "Research on Legal Protection of Data Rights of E-Commerce Platform Operators" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd44955.pdf Paper URL: https://www.ijtsrd.com/management/law-and-management/44955/research-on-legal-protection-of-data-rights-of-ecommerce-platform-operators/changjun-wu
AI/Robotics
1. Representation Learning for Natural Language Processing (NLP)
2. Automated Machine Learning (AutoML)
3. Artificial Intelligence for Security
4. Artificial Intelligence Business Applications
5. Unsupervised Machine Learning for Knowledge Discovery
6. AI based Robot Control
7. Machine Learning for Robotics
8. Ethics in Robotics and AI
AI+Blockchain
AI & Blockchain for Cognitive Radio Dynamic Spectrum Management
AI+IoT
Machine Learning for Cyber Physical Systems
Blockchain
1. Blockchain and Crypto Currency
2. Bitcoin and Beyond
IoT
1.Scalable Internet of Things
2.Energy Internet of Things (eIoT)
3. Internet of Things Security
Big data/Data Science
1. Big Data in Context
2. Data Science for Global Health
3. Data Journeys in the Sciences
4. Python Programming
Cybersecurity/Data Security
1. Cybersecurity for Business
2. Security Infrastructure Technology for Integrated Utilization of Big Data
Digital Transformation
1. Digital Transformation in Semiconductor Manufacturing
2. Digital Twins
"Towards Value-Centric Big Data" e-SIDES Workshop - Slide-decke-SIDES.eu
This is the slide-deck of the workshop held on April 2, 2019 in Brussels, titled "Towards Value-Centric Big Data". It includes the presentations given by the speakers.
Hacking the DNA of humanity with Blockchain and AI by Dinis GuardaDinis Guarda
Hacking the dna of humanity with blockchain and AI
What is the biggest challenge humanity faces now?
DNA OF OUR TIME = TECH - DATA + BLOCKCHAIN + AI
Humanity data code = DNA!
What happens when we can hack this code?
(This is Now?)
IoT Startup State of The Union 2016--Wing Venture CapitalMartin Giles
At Wing, we have spent the past few months researching the state of the Internet of Things startup ecosystem. This presentation summarizes some of our initial high-level findings. An accompanying commentary can be found at www.wing.vc/blog
How Businesses & Governments Can Prosper with Blockchain AI Tech by Dinis GuardaDinis Guarda
As blockchain, AI, fintech, and data-driven solutions become integrated into more core systems and daily operations, businesses and governments will need to adapt quickly to remain competitive in the digital future.
Beyond the hype and the media-fueled apocalyptic scenarios, let's analyze what A.I really
means for the future of the industrial world.
I'll demystify what’s beyond the buzzwords of the moment, and have a close look at A.I,
Blockchain and IoT, illustrated with some real-world use-cases.
I'll finally propose a few scenarios where these three technologies could converge into the 3rd era of the Internet.
Looking for a career in AI ethics? Enrol in USAII certifications and land the best career opportunity in AI engineering, AI consultancy, and AI scientists roles. Begin with the most credible AI certifications worldwide!
Learn more: https://bit.ly/3SdLAuD
"Towards Value-Centric Big Data" e-SIDES Workshop - Slide-decke-SIDES.eu
This document summarizes a workshop session on value-centric big data. The session included presentations on several projects aiming to develop big data technologies and applications in an ethical manner that respects privacy and provides value. Speakers discussed challenges around privacy, profiling, and ensuring equitable and fair treatment when using big data. They also shared proposed solutions and best practices for addressing these challenges developed through their projects. The session concluded with an open discussion on experiences and approaches to overcoming barriers to responsible big data innovation.
Artificial Intelligence in Education: Ethical FuturesRobert Farrow
Artificial intelligence (AI) offers the possibility of enabling human self-realisation; enhancing human agency; increasing societal capability; and cultivating social cohesion (Floridi et al., 2018). A review of ethical principles in AI (Floridi & Cowls, 2019) suggests that 47 principles proposed by various initiatives can be reduced to four traditional moral principles (beneficence; non-maleficence; autonomy; justice) and one new one (explicability). This webinar will interpret this ethical framework with respect to the potential for AI supported education. It will explore the roles of algorithms, institutional policies and pedagogical innovation in developing learning systems and offer normative reflections on the future role of AI in education.
Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1
Floridi, L., Cowls, J., Beltrametti, M. et al. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds & Machines 28, 689–707. https://doi.org/10.1007/s11023-018-9482-5
Embracing Innovation in Government: Global Trends 2018OECD Governance
Report identifies the global trends in government innovation and includes 10 in-depth case studies to illustrate the 3 key trends - (1) Identity, (2) Systems approaches and enablers, and (3) Inclusiveness and vulnerable populations.
For more information see www.oecd.org/gov/innovative-government/innovation2018.htm
The i2TIC group is an interdisciplinary research network consisting of 19 researchers from 7 universities studying the interaction between information and communication technologies (ICTs) and finance, industry, commerce and services on individuals, organizations, value creation, and economic and social development. The group has published over 30 articles and books, conducted several surveys, and received recognition and research funding, with the goal of becoming a consolidated research group by 2013.
The document discusses the relationship between artificial intelligence (AI) and diplomacy, highlighting several key points:
1) Relations between AI and diplomacy are complex, involving issues of national security, economic competition, ethics, and international cooperation.
2) Diplomats and policymakers must navigate these intricacies to maximize the benefits of AI while mitigating potential risks and challenges on the global stage.
3) Publicly funded open research can serve as a diplomatic tool to promote fair and equitable AI development internationally through cooperation and knowledge sharing.
Each year, Inria institute publishes its annual report for the previous year. In a "magazine" format, it highlights our results and gives our partners the opportunity to share and understand their vision of our institute and digital technology. This report highlights Inria's role, its commitments, its actions and its impact in building digital sovereignty through research and innovation.
Defin
ing artificial intelligence is no easy matter. Since the mid
-
20th century when it
was first
recognized
as a specific field of research, AI has always been envisioned as
an evolving boundary, rather than a settled research field. Fundamentally, it refers
to
a programme whose ambitious objective is to understand and reproduce human
cognition; creating cognitive processes comparable to those found in human beings.
Therefore, we are naturally dealing with a wide scope here, both in terms of the
technical proced
ures that can be employed and the various disciplines that can be
called upon: mathematics, information technology, cognitive sciences, etc. There is
a great variety of approaches when it comes to AI: ontological, reinforcement
learning, adversarial learni
ng and neural networks, to name just a few. Most of them
have been known for decades and many of the algorithms used today were
developed in the ’60s and ’70s.
Since the 1956 Dartmouth conference, artificial intelligence has alternated between
periods of
great enthusiasm and disillusionment, impressive progress and frustrating
failures. Yet, it has relentlessly pushed back the limits of what was only thought to
be achievable by human beings. Along the way, AI research has achieved significant
successes: o
utperforming human beings in complex games (chess, Go),
understanding natural language, etc. It has also played a critical role in the history
of mathematics and information technology. Consider how many softwares that we
now take for granted once represen
ted a major breakthrough in AI: chess game
apps, online translation programmes, etc
This document discusses measuring digital entrepreneurial ecosystems. It introduces GEDI's framework for understanding the intersection of digital and entrepreneurial ecosystems. The framework consists of four concepts: digital infrastructure governance, digital user citizenship, digital entrepreneurship, and digital marketplace. The document also provides an overview of recent GEDI research on defining and conceptualizing digital entrepreneurial ecosystems. Additionally, it presents preliminary approaches to measuring these ecosystems through a sub-index approach and examines the relationship between unicorns per population and measures of digital entrepreneurship.
The document discusses artificial intelligence (AI) and the potential for Ukraine to be a location for AI research and development investments. It provides background on AI and its current status and trends. It then discusses the state of science and technology in Ukraine, including academic research in AI and the number of AI experts in the country. It also examines the growing Ukrainian startup scene and provides examples of successful AI startups developed in Ukraine. In conclusions, the document rates Ukraine's potential as a location for AI R&D investments in several categories and finds its scores are generally improving.
i2TIC is an interdisciplinary research group consisting of 19 researchers from 7 universities studying ICT. The group's goals are innovative research, professional growth for members, and becoming a consolidated research group by 2013. The group's research focuses on how ICT impacts individuals, organizations, the economy and society. Recent outputs include 15 ISI journal articles, 20 articles in other journals, 5 books, and 2 completed PhD theses with 10 more in progress. The group utilizes several data sources and has received recognition and funding for their work.
1) The document discusses artificial intelligence and the digital economy globally, in Europe, and specifically in France and Russia.
2) It outlines the large AI markets and companies in major countries and regions. The European Commission plans to invest billions in AI research.
3) France has a strong AI ecosystem with top researchers and over 200 startups that have raised hundreds of millions. The country is focusing on applying AI ethics and developing skills.
4) The speaker proposes increased cooperation between France and Russia on AI through a student exchange program, annual summit, and joint investment fund to strengthen the relationship.
The document discusses artificial intelligence (AI) investment and adoption. It finds that AI investment is growing rapidly, dominated by large tech companies like Google and Baidu who spent $20-30 billion on AI in 2016. Venture capital and private equity AI funding also grew but from a smaller base, totaling $6-9 billion. The document examines five AI technologies - robotics, computer vision, language, virtual agents, and machine learning. It finds that while AI adoption outside of tech is still experimental, some early adopters are seeing benefits. Most companies have more to do to realize AI's full potential. Case studies on retail, utilities, manufacturing, healthcare and education are also included.
Since its founding in 1990, the McKinsey Global Institute (MGI) has sought
to develop a deeper understanding of the evolving global economy. As the
business and economics research arm of McKinsey & Company, MGI aims
to provide leaders in the commercial, public, and social sectors with the facts
and insights on which to base management and policy decisions. The Lauder
Institute at the University of Pennsylvania ranked MGI the world’s number-one
private-sector think tank in its 2016 Global Think Tank Index for the second
consecutive year.
MGI research combines the disciplines of economics and management,
employing the analytical tools of economics with the insights of business
leaders. Our “micro-to-macro” methodology examines microeconomic
industry trends to better understand the broad macroeconomic forces
affecting business strategy and public policy. MGI’s in-depth reports have
covered more than 20 countries and 30 industries. Current research focuses
on six themes: productivity and growth, natural resources, labor markets, the
evolution of global financial markets, the economic impact of technology and
innovation, and urbanization
Show & TEL Ethics & Technology-Enhanced Learning Robert Farrow
This presentation reviews the state of the art with respect to the use of artificial intelligence in education, reflecting on the ethical aspects and implications with particular reference to distance education.
Can education systems anticipate the challenges of AI?Steve Vosloo
The document discusses the challenges that artificial intelligence (AI) poses for education systems and how education must adapt. It notes that AI is advancing rapidly in areas like computer vision, natural language processing, and data mining. While AI has potential to improve education through personalized learning and analytics, it also risks disrupting labor markets and creating new inequalities. Education must focus on skills like critical thinking, creativity, and data literacy to help students thrive alongside AI. The document raises questions about how AI can help forecast skills demands, the roles of humans versus machines, and ensuring AI benefits all countries and populations.
Social networks have become very popular in Spain, with 73% of internet users visiting sites like Facebook and Tuenti regularly. Tuenti is the most visited social network in Spain, growing 770% in 2008, while Facebook also saw strong growth. Social networks are changing habits as they provide personalized advertising based on user interests and data collected. Universities also make significant use of virtual learning platforms and online education. The future of social networks involves greater integration with mobile phones.
Social networks have become very popular in Spain, with 73% of internet users visiting sites like Facebook and Tuenti regularly. Tuenti is the most visited social network in Spain, growing 770% in 2008, while Facebook also saw strong growth. Social networks are changing habits as they provide personalized advertising based on user interests and data collected. Universities also make significant use of virtual learning platforms and online education. The future of social networks involves greater integration with mobile phones.
Similar to The State of AI Ethics in Canada & Spain (20)
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
The State of AI Ethics in Canada & Spain
1. The State of AI Ethics
in Canada & Spain
February 26, 2021
OdiseIA (Spanish Observatory on Social and Ethical impact of AI)
Joint discussion with MAIEI
www.odiseia.org
2. The State of AI Ethics in Canada & Spain (February 26, 2021)
2
Quick introduction
Introduction to OdiseIA
1
5. The State of AI Ethics in Canada & Spain (February 26, 2021)
5
The Spanish Observatory on Social and Ethical impact of AI (OdiseIA), was
created in 2019 as the reference space for discussion, debate and
implementation of the responsible AI in Spain.
Driven by internationally renowned experts, it is constituted as an independent
and non-profit association, open to all actors in the AI ecosystem who identify
with its mission.
OdiseIA is a platform for collaboration of
companies, research centers, professionals
and universities, committed to the development
of ethical and responsible AI.
What’s OdiseIA?
Introduction to OdiseIA
1
Our mission:
To contribute to the responsible development and
use of AI that has the well-being of the human being
and the societies in which it is integrated at its core.
We work for a responsible, ethical, inclusive,
non-discriminatory, and transparent AI.
6. The State of AI Ethics in Canada & Spain (February 26, 2021)
Analysis
Leadership
Connection
Introduction to OdiseIA
1
What is our approach?
● Articles
● Reports
● Whitepapers
● Webinars
● External initiatives
● Information campaigns
● Media presence
● Neutral positioning
● Meetings with public administration
● Participation in regulatory processes
● Training
● In-house tools and frameworks
● Events
● Partner network and community
● Companies and individuals
https://medium.com/@odiseIA
7. The State of AI Ethics in Canada & Spain (February 26, 2021)
7
Idoia Salazar
Presidenta
Co-directora
área ética y
responsabilidad
Richard Benjamins
VP 1º
Co-director área
ética y
responsabilidad
Mar Cabra
VP 2ª
Directora
Comunidad y
Alianzas
Estratégicas
Jesus Avezuela
Secretario
General
Ángel Gómez
Vocal
Director área
seguridad y
defensa
Asunción Gómez
Vocal
Co-directora
área
investigacion
Nuria Oliver
Vocal
Co-directora
área
investigación
Ricardo Palomo
Tesorero
Mónica Priefert
Vocal
Directora área
Educación
Mónica Villas
Vocal
Directora área
formación
The executive team - Multidisciplinary and internationally recognized prestige
100+ members (Spain, UK, USA, Canada, LATAM, etc.) and corporate partners
Introduction to OdiseIA
1
Our team
8. The State of AI Ethics in Canada & Spain (February 26, 2021)
8
● Community
● Communication
● Strategic partnerships
● Operations
Education Health Defense & cybersecurity Public
Administration
Insurance
Transversal areas
Privacy
Inclusive AI
Ethics and responsibility Training Outreach Research
Sector areas
Legal
Challenges
Relations Robots-Humans
Introduction to OdiseIA
1
Our areas of activity -- Based on organic growth and development
Social and ethics Management
10. The State of AI Ethics in Canada & Spain (February 26, 2021)
10
Ethics guidelines for
trustworthy AI
European Commission
(April 2019)
* Updated Feb 2020
State of AI Ethics in Spain
2
Why now -- AI Ethics Timeline in Spain and Europe
Whitepaper on AI - A European
approach to excellence and trust
European Commission
(February 2020)
Research, Development and
Innovation (RDI) Strategy in AI
Spanish Government
(March 2019)
Spanish National AI
Strategy
Spanish Government
(November 2020)
Creation of OdiseIA
11. The State of AI Ethics in Canada & Spain (February 26, 2021)
11
Different timing but similar purpose
...
2020
State of AI Ethics in Spain
2
12. The State of AI Ethics in Canada & Spain (February 26, 2021)
12
AI Ethics approaches are highly influenced by Data Privacy regulation...
“There is something very interesting going on in
America. It relates to data privacy, politics and the
tech industry. We often talk about the clash of two
data cultures.
The basic premise is that in the US data is treated
as a commodity, whereas in Europe it is treated as
the private property of individuals. These two
views are clashing in a very real way in the latest
round of political intrigue coming out of
Washington D.C., and it is roiling markets and
challenging American perceptions of data privacy.”
Source: https://www.yerrasolutions.com/blog/politics-data-privacy-and-trump
State of AI Ethics in Spain
2
13. The State of AI Ethics in Canada & Spain (February 26, 2021)
13
… and (for the Spanish case) by the European vision of data protection
as a fundamental right
State of AI Ethics in Spain
2
14. The State of AI Ethics in Canada & Spain (February 26, 2021)
14
So what does the ENIA (Spain’s National AI Strategy) say about ethics?
State of AI Ethics in Spain
2
Training in social and ethical impact of AI
Quality of the technical implementation of AI
ethics within the organizations
National platform of Observatories to
analyze the social impact of AI
Notion of AI Quality Certification
National and international discussions on AI
ethics and social impact
1
2
3
4
5
15. The State of AI Ethics in Canada & Spain (February 26, 2021)
15
Some interesting cases…
State of AI Ethics in Spain
2
16. The State of AI Ethics in Canada & Spain (February 26, 2021)
16
Other “ethically” sensible AI applications in Spain - What do you think?
State of AI Ethics in Spain
2
- Algorithm to detect political corruption cases
https://www.elconfidencial.com/tecnologia/2018-10-22/algoritmo-anticorrupcion-valencia-satan_1632428/
- Gender violence
http://www.interior.gob.es/documents/642012/8791743/Libro+Violencia+de+G%C2%8Enero/19523de8-df2b-45f8-80c0-59e3614a9bef
- Video surveillance for crime prediction and prevention
● https://elpais.com/tecnologia/2019/11/21/actualidad/1574348695_231540.html
● https://www.elmundo.es/tecnologia/2015/12/10/566991ee268e3ee63c8b4634.html
● https://www.eurocop.com/sistemas-de-eurocop/analisis-y-prediccion-del-delito/
● https://www.elsaltodiario.com/tecnologia/minority-report-policias-europa-sistemas-algoritmos-prediccion-delitos
● https://www.eurocop.com/quienessomos/referencias/principales-clientes/
- Murder profiling
https://elpais.com/tecnologia/2019/06/26/actualidad/1561500733_085160.html
- Racism detection
https://www.navarra.es/home_es/Actualidad/Sala+de+prensa/Noticias/2019/03/26/Proyecto+de+deteccion+de+discursos+xenofobos+y+racistas.htm
?
17. The State of AI Ethics
in Canada & Spain
February 26, 2021
OdiseIA (Spanish Observatory on Social and Ethical impact of AI)
Joint discussion with MAIEI
www.odiseia.org
Gracias!
18. The State of AI Ethics in Canada & Spain (February 26, 2021)
18
Additional reading material
● AI Watch - Artificial Intelligence in public services -
https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/ai-watch-artificial-intelligence-public-services
● Report: Automating Society - Taking Stock of Automated Decision-Making in the EU -
https://algorithmwatch.org/en/automating-society-spain/
● Spain’s National Strategy - https://www.lamoncloa.gob.es/presidente/actividades/Documents/2020/ENIA2B.pdf
● Artificial Intelligence in small and medium-sized enterprises -
https://business.blogthinkbig.com/artificial-intelligence-in-small-and-medium-sized-enterprises/
● Telefonica’s AI Principles - https://www.telefonica.com/en/web/responsible-business/our-commitments/ai-principles
○ Governance model - https://www.telefonica.com/documents/1258915/3538310/ia-responsible-governance.pdf
● Towards organizational guidelines for the responsible use of AI (ECAI 2020) https://ecai2020.eu/papers/1347_paper.pdf
● Responsible AI by Design in Practice (AAAI workshop) - https://arxiv.org/abs/1909.12838v2
● A choices framework for the responsible use of AI (AI Ethics Journal, Springer)
https://link.springer.com/article/10.1007/s43681-020-00012-5?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst
● A new organizational role for Artificial Intelligence: the Responsible AI Champion (blog post)
https://business.blogthinkbig.com/a-new-organizational-role-for-artificial-intelligence-the-responsible-ai-champion/
19. The State of AI Ethics in Canada & Spain (February 26, 2021)
19
Questions for breakout room discussion
1. Is there scope for an internationally recognised AI policy between countries like Canada and Spain?
2. Can Spain and Canada do more to implement ethical AI practice? If so, are there any cultural issues that
may need to be surpassed in order to do so?
3. What would be the best way for the two countries to work together given the language barrier and
different perspectives on AI?
4. Are future AI practitioners in each country being adequately prepared to join an AI future? For example,
through industry experience or relevant education?