This document discusses trends and issues related to artificial intelligence (AI). It summarizes that AI is already being adopted in many areas like factories, homes, and businesses. While narrow AI exists today, general AI and super intelligence are still speculative. The global race for AI leadership involves major investment and development by the US, China, EU, and others. The document outlines challenges around AI including bias, data and privacy, responsibility, jobs, and autonomous weapons. It proposes an ethical framework for AI and emphasizes the need for multi-stakeholder cooperation to guide development of an ethical and beneficial AI future.
Implication of AI/ML with respect to Consumer Product Safety Swathi Young
US Consumer Product Safety Commission's (CPSC) mission is "to protect the public from unreasonable risks of injury and death from consumer products.”
I would be covering :
樂 What is AI,ML in the context of consumer products?
樂 The difference between AI as a product and AI as a feature of a product with examples
樂 How use of AI/ML and continuous updates to it can potentially result in consumer safety hazards
A brief overview of artificial intelligence (AI), followed by a few examples of practical use within small businesses, large enterprises, and nonprofits.
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuity. As a result, we will in the near future see large parts of our lives influenced by AI.
AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more.
With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation organized AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies. The Summit aimed to accelerate and advance the development and democratization of AI solutions that can address specific global challenges related to poverty, hunger, health, education, the environment, and others.
The Summit provided a neutral platform for government officials, UN agencies, NGO's, industry leaders, and AI experts to discuss the ethical, technical, societal and policy issues related to AI, offer reccommendations and guidance, and promote international dialogue and cooperation in support of AI innovation.
Please visit the AI for Good Global Summit page for more resources: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx
If you would like to speak, partner or sponsor the 2018 edition of the summit, please contact: ai@itu.int
https://www.youtube.com/watch?v=wbXEXGT3I9I&list=PLqJzTtkUiq54DDEEZvzisPlSGp_BadhNJ&index=8
Link of video:
https://www.youtube.com/watch?v=wbXEXGT3I9I
This is a review of the keynote presented by Eric Horvitz, Managing Director, Microsoft, Redmond.
This keynote was presented at Computing Community Consortium in Washington DC on June-07-2016.
Eric has discussed about 3 things in his keynote: Healthcare, Agriculture and Transport.
Mainly he has focussed on Health care.
The goal of AI
Broad Spectrum of Opportunities for AI
Healthcare
Sciences
Transportation
Agriculture
Sustainability
Education
Governance
Criminal justice
Privacy & security
Emergency management
A work conducted in John Hopkins University
References:
http://research.microsoft.com/en-us/um/people/horvitz/AI_supporting_people_and_society_Eric_Horvitz.pdf
https://www.youtube.com/watch?v=rek3jjbYRLo
https://en.wikipedia.org/wiki/Artificial_intelligence
https://en.wikipedia.org/wiki/AI_winter
http://research.microsoft.com/en-us/um/people/horvitz/
Implication of AI/ML with respect to Consumer Product Safety Swathi Young
US Consumer Product Safety Commission's (CPSC) mission is "to protect the public from unreasonable risks of injury and death from consumer products.”
I would be covering :
樂 What is AI,ML in the context of consumer products?
樂 The difference between AI as a product and AI as a feature of a product with examples
樂 How use of AI/ML and continuous updates to it can potentially result in consumer safety hazards
A brief overview of artificial intelligence (AI), followed by a few examples of practical use within small businesses, large enterprises, and nonprofits.
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuity. As a result, we will in the near future see large parts of our lives influenced by AI.
AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more.
With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation organized AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies. The Summit aimed to accelerate and advance the development and democratization of AI solutions that can address specific global challenges related to poverty, hunger, health, education, the environment, and others.
The Summit provided a neutral platform for government officials, UN agencies, NGO's, industry leaders, and AI experts to discuss the ethical, technical, societal and policy issues related to AI, offer reccommendations and guidance, and promote international dialogue and cooperation in support of AI innovation.
Please visit the AI for Good Global Summit page for more resources: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx
If you would like to speak, partner or sponsor the 2018 edition of the summit, please contact: ai@itu.int
https://www.youtube.com/watch?v=wbXEXGT3I9I&list=PLqJzTtkUiq54DDEEZvzisPlSGp_BadhNJ&index=8
Link of video:
https://www.youtube.com/watch?v=wbXEXGT3I9I
This is a review of the keynote presented by Eric Horvitz, Managing Director, Microsoft, Redmond.
This keynote was presented at Computing Community Consortium in Washington DC on June-07-2016.
Eric has discussed about 3 things in his keynote: Healthcare, Agriculture and Transport.
Mainly he has focussed on Health care.
The goal of AI
Broad Spectrum of Opportunities for AI
Healthcare
Sciences
Transportation
Agriculture
Sustainability
Education
Governance
Criminal justice
Privacy & security
Emergency management
A work conducted in John Hopkins University
References:
http://research.microsoft.com/en-us/um/people/horvitz/AI_supporting_people_and_society_Eric_Horvitz.pdf
https://www.youtube.com/watch?v=rek3jjbYRLo
https://en.wikipedia.org/wiki/Artificial_intelligence
https://en.wikipedia.org/wiki/AI_winter
http://research.microsoft.com/en-us/um/people/horvitz/
14 Startups Leading the Artificial Intelligence (AI) RevolutionNVIDIA
Learn how these top 14 startups around the globe are using artificial intelligence (AI) and Deep Learning to impact key industries and humanity-at-large.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
MIhai Bonca - Inteligenta Artificiala. Inger, demon sau oportunitateBusiness Days
Prezentarea lui Mihai Bonca in cadrul conferintei "De la provocarile prezentului la oportunitatile viitorului" din cadrul evenimentului Business Focus Iasi 2018 organizat de platforma Business Days in Iasi la data de 28 martie 2018
3 steps to Creating Conversational AI with Everything Around UsJack C Crawford
Text chatbots and smart speakers have introduced new ways to search for information, get things done, and control a growing number of smart devices around us. These manifestations of intelligence have been limited to simple assistance, and have not yet reached the third stage of chatbot maturity described by Gartner. In this talk, we explore three steps to accelerate the move to engaging AI.
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
Artificially intelligent systems are becoming part of our everyday lives. This session will answer your questions about artificial intelligence, machine learning, and the ethical conflicts and the implications inherent in these technologies. Topics covered will include: discussions of bias in data; how to focus on the user experience; what is necessary to build a good cognitive computing systems; data needs; levels of accuracy; making safe and secure AI's; and discussions on ethics in AI and our role in leading those conversations. Carol will propose simple models for thinking about these systems and provide time for questions. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Selected by the audience to be presented at ProductCamp Pittsburgh in September 2018
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open
access peer-reviewed journal that publishes articles which contribute new results in all areas of
the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for
professionals and researchers in all fields of AI for researchers, programmers, and software and
hardware manufacturers. The journal also aims to publish new attempts in the form of special
issues on emerging areas in Artificial Intelligence and applications.
This is a PPT which highlights the basics of artificial intelligence and how it works and will affect job scenario.
ai in drug discovery, artificial intelligence, artificial intelligence in drug discovery, deep learning, deep learning techniques, gan, generative adversarial network (gan), gpu, gpu (graphics processing unit)-, graphics processing units, machine learning, matconvent, nvidia, nvidia dgx-1, python, tensorflow, torche, IBM watson for drug discovery
machine learning in drug discovery, deep learning in drug discovery
[DSC Europe 23] Shahab Anbarjafari - Generative AI: Impact of Responsible AIDataScienceConferenc1
Today, we embark on a journey into the realm of Generative AI (Gen AI), a force of innovation and possibility. We'll not only unveil the vast opportunities it offers but also confront the ethical challenges it poses. In the spirit of responsible innovation, we'll then dive deep into Responsible AI, illuminating the path to its implementation in this era of Gen AI. Join us for a profound exploration of this technological frontier, where our commitment to responsibility and foresight shapes the future.
14 Startups Leading the Artificial Intelligence (AI) RevolutionNVIDIA
Learn how these top 14 startups around the globe are using artificial intelligence (AI) and Deep Learning to impact key industries and humanity-at-large.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
MIhai Bonca - Inteligenta Artificiala. Inger, demon sau oportunitateBusiness Days
Prezentarea lui Mihai Bonca in cadrul conferintei "De la provocarile prezentului la oportunitatile viitorului" din cadrul evenimentului Business Focus Iasi 2018 organizat de platforma Business Days in Iasi la data de 28 martie 2018
3 steps to Creating Conversational AI with Everything Around UsJack C Crawford
Text chatbots and smart speakers have introduced new ways to search for information, get things done, and control a growing number of smart devices around us. These manifestations of intelligence have been limited to simple assistance, and have not yet reached the third stage of chatbot maturity described by Gartner. In this talk, we explore three steps to accelerate the move to engaging AI.
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
Artificially intelligent systems are becoming part of our everyday lives. This session will answer your questions about artificial intelligence, machine learning, and the ethical conflicts and the implications inherent in these technologies. Topics covered will include: discussions of bias in data; how to focus on the user experience; what is necessary to build a good cognitive computing systems; data needs; levels of accuracy; making safe and secure AI's; and discussions on ethics in AI and our role in leading those conversations. Carol will propose simple models for thinking about these systems and provide time for questions. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Selected by the audience to be presented at ProductCamp Pittsburgh in September 2018
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open
access peer-reviewed journal that publishes articles which contribute new results in all areas of
the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for
professionals and researchers in all fields of AI for researchers, programmers, and software and
hardware manufacturers. The journal also aims to publish new attempts in the form of special
issues on emerging areas in Artificial Intelligence and applications.
This is a PPT which highlights the basics of artificial intelligence and how it works and will affect job scenario.
ai in drug discovery, artificial intelligence, artificial intelligence in drug discovery, deep learning, deep learning techniques, gan, generative adversarial network (gan), gpu, gpu (graphics processing unit)-, graphics processing units, machine learning, matconvent, nvidia, nvidia dgx-1, python, tensorflow, torche, IBM watson for drug discovery
machine learning in drug discovery, deep learning in drug discovery
[DSC Europe 23] Shahab Anbarjafari - Generative AI: Impact of Responsible AIDataScienceConferenc1
Today, we embark on a journey into the realm of Generative AI (Gen AI), a force of innovation and possibility. We'll not only unveil the vast opportunities it offers but also confront the ethical challenges it poses. In the spirit of responsible innovation, we'll then dive deep into Responsible AI, illuminating the path to its implementation in this era of Gen AI. Join us for a profound exploration of this technological frontier, where our commitment to responsibility and foresight shapes the future.
AI and the Future of Work [TUG-CO, 11/15/23]Matt Small
This talk was given to the Tech User Group, Central Oregon on November 15th, 2023.
~~
AI revolutionizes the way we interact with information. It will change the way we work. In this talk, we will introduce the fundamental concepts and the latest research and policies in the field. We will then explore numerous opportunities and societal challenges related to technology adoption, work augmentation and identity. Finally, we will introduce Personal AI and the mission of Kwaai Lab.
Kwaai Lab, a non-profit, volunteer-based open-source AI lab, is composed of researchers, architects, developers, and philosophers. Our goal is to design and implement the tools, fundamentals, and policies that empower us all to own our own Personal AI assistants.
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Intelligent and Smart Systems define the cutting edge of information technology now. They are invisible yet ubiquitous. From identifying individual student’s lack of attention to suggesting remedial measures, from predicting financial failures to preventing future fraud, and from assisting noninvasive surgery to guiding missiles to moving targets, the Artificial Intelligence based applications are stepping into every domain.
Numerous concerns have emerged in parallel. Should they be permitted to run a completely human less system? Can they be assigned all cognitive non routine tasks that humans are good at? Are they effective communicators and consensus builders? What role should they play in decision making? How good are they in picking up data compared to human senses? These and many other questions have surfaced in many fora.
Data used in model building adds another dimension. How unbiased are the data sets used in training? Can a data set be ever unbiased? What are the consequences of data bias in models and algorithms?
This talk explores the issues of setting the boundary for use of AI technology. Areas of concern are delineated, and principles of restraint advocated. It aims to inspire researchers to keep the boundary in mind as they explore new frontiers in AI and to design stable boundary line interfaces.
Combating Cyber Security Using Artificial IntelligenceInderjeet Singh
Cyber Security & Data Protection India Summit 2018 aims to convene the best minds in Cybersecurity under one roof to create an interactive milieu for exchange of knowledge and ideas. The event will endeavour to address the emerging and continuing threats to Cybersecurity and its changing landscape, as well as respond to increasing risk of security breaches and security governance, application security, cloud based security, Network, Mobile and endpoint security and other cyber risks in the India and abroad.
Top And Best Digital Marketing Agency With AIamdigitalmark15
Elevate your brand with Digitalaanmo, the top agency for the best and affordable digital marketing services. Unleash success with our expert agency solutions
Ethical Dimensions of Artificial Intelligence (AI) by Rinshad ChoorapparaRinshad Choorappara
Explore the ethical landscape of Artificial Intelligence (AI) through our insightful PowerPoint presentation. Delve into crucial considerations that shape the responsible development and deployment of AI technologies. From privacy concerns and bias mitigation to transparency and accountability, this presentation covers the key ethical dimensions of AI. Gain a comprehensive understanding of the ethical challenges and solutions in the rapidly evolving world of artificial intelligence. Stay informed and empower your audience with the knowledge needed to navigate the ethical intricacies of AI responsibly.
Let us see the good and bad effects of the impact of Artificial Intelligence and the emerging technologies!
Introduction to Artificial Intelligence (AI)
Artificial Intelligence (AI) has emerged as a transformative force,
revolutionizing various aspects of our lives. From powering voice assistants in
our smartphones to enabling self-driving cars, AI has become an integral part
of our modern society. This article aims to provide a comprehensive
understanding of AI, exploring its origins, key concepts such as machine
learning and neural networks, practical applications in diverse fields, ethical
and legal considerations,
The Ethics of Artificial Intelligence in Digital Ecosystemswashikmaryam
The ethics of AI go beyond just the technology itself. When we consider AI within the complex web of digital platforms and services (the digital ecosystem), new ethical concerns arise.
A big focus is on how AI decisions can be biased, reflecting the data it's trained on and potentially leading to discrimination. We also need to be mindful of privacy issues and how AI might be used to manipulate users.
To ensure ethical AI in digital ecosystems, we need to consider these potential pitfalls during development and use frameworks to make responsible choices. This includes reflecting on the decision-making process and how AI can be used for good.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. A presentation that a layman could understand and have basic knowledge and concept of coming technology.
Ipsos Global Affairs and Impact Assessment introGeorge Tilesch
Impact Assessment — Enabling clients of all kinds - from small NGOs to large multinational corporations — to determine the right social investment, whether the investment is being delivered effectively, and the impact of the investment on their beneficiaries and their organizations.
A presentetaton of Neumann Society's transatlantic innovayion endeavors for the European Parliament delagtion visition Neumann Hosue in Redwood City on 7/23/2015
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
3. “Artificial intelligence is the future (…)
for all humankind,”. “It comes with
colossal opportunities, but also threats
that are difficult to predict.
Whoever becomes the leader in this
sphere will become the ruler of the
world.”
This Photo by Unknown Author is licensed under CC BY-NC
4. Before the Storm
• Timeline: Incrementalism vs Sci-fi?
• Expected Impact: Disjointed
Narratives & Sense-making
• AI is here and now: Adoption Trends
& “Domestication”
• $60B Industry by 2025
• 1.7 million new AI robots in factories
by 2020
• 55% of households worldwide will
have an AI voice assistant by 2022
5. AI Trajectory: winner takes it all?
Weak/Narrow
AI (ANI = the
Present, the Tip
of the Iceberg)
Strong/
General
AI (AGI = Holy
Grail,
currently
“Enfants
Terribles”
Artificial
Super
Intelligence (
ASI =
Speculation,
Scifi)
6. Snapshot: The Global Race for AI
States
US: 66% of investments historically,
abundance of AI startups +
DoD/DARPA but no natl strategy
EU: Prio but behind; EUR 3 B
investment. Focus: ethics &
impacts, H2020 funding, boards
and committees
China: national prio, closing in
concentration of startups, funding
surpasses US (Cca. $5Bn)
Russia: state-driven “hustle”,
cyberwarfare/EWF edge
Corp
Investment, Acquisitions: Google,
Apple, FB
AI Platforms/ Projects: Watson,
TensorFlow, Azure ML, SF Einstein
etc
Recent trends
•Opensourcing boosts startups,
skills & adoption
•Academic brain drain
“Startups”
Funding up 150% YoY, $10 B in
2017 only
Top 100 has $12B in Funding
China’s Bytedance top funded $3.1,
but 76/100 US
“Instant AI Unicorns”
Stewards
Future of Life; Asilomar AI
Principles endorsed by Big Tech, CA
State
EU MS Forum: AI 4 People
Standards: IEEE Ethical Design
Open AI: nonprofit Safe AGI
research funded by Elon Musk etc.
11. The Google Assistant
Conundrum
• “You are already a Cyborg”
(Musk)
• Bookings: First world
problems
• Why not a scheduling system
instead in Gsuite?
• “Automatons” talking to AI
agents: Loss of job dignity &
meaning
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12. AI & jobs: Future of
Work
• Recent political turmoils: AI/RPA links? Skills
gap/mismatch?
• Automation: Wipe out/Replace or
Symbiotic/Assist?
• Cashierless stores with retail gong down
• Driverless truck: labour 45% costs, 5.5 M jobs impacted
• Workerless factory: AI-augmented productivity
but jobs “automated out”?
• Are “smart” jobs safe?
• Doctors. e.g 82% Cancer detection, learned in 2 hours
• OMG, not the lawyers!
13. Autonomous
Machines of War
• AI Blitzkrieg (AWS, 0-
casualty war etc.)
• AI MAD vs. winner
takes it all
• Project Maven (Google
backlash & PPP
analysis)
• UN LAWs Consensus
seems far: blockers US,
Russia, Israel etc.
14. Nascent AI-triggered belief
systems
• Silicon Valley Techno-optimism AI Church: e.g.
Way of the Future
• Transhumanism: Rise of the Centaur
• Neoluddism
• Consciousness Schools of Thought
AI & The Divine
15. THE A/IS Ethical Framework (draft)
Human Rights A/IS shall respect, promote, and protect internationally recognized human rights.
Prioritizing Well-Being A/IS shall adopt increased human well-being as a primary success criterion for
development.
Human Data Agency Developers and operators of AI/S shall develop effective models of consent for the
capturing, sharing and use of personal data.
Accountability It shall always be possible to find out who is responsible for an A/IS at any point in
time and in any stage of operation.
Transparency It shall always be possible to discover why an A/IS made a particular decision.
Measurability Always be possible to measure and provide evidence of the effectiveness (fitness
for purpose) of an A/IS.
Competence Designers shall specify the knowledge and skill required to apply the AI/S effectively
and safely, and operators must be trained accordingly.
A/IS Technology Misuse and Awareness Developers shall guard against all potential misuses and risks of AI/S.
16. The Light at the End?
• We need empowered multi-stakeholder structures to
guide an AI Future
• New models for innovation stewards: guardians &
curators & doers, all in one
• Conscience & Consciousness for machines and humans
alike
• A new core: Upgraded, flexible, strong belief and ethical
systems
• Mental Resilience, also offline/online, global/local
balance
• New collective creativity collaboration tools needed
• Cross-disciplinary will be the new normal/desired
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17. The job (and the
responsibility) is yours
“Nobody phrases it this way, but I
think that artificial intelligence is
almost a humanities discipline.
It's really an attempt to
understand human intelligence
and human cognition.”
Sebastian Thrun