As artificial intelligence (AI) continues to advance at an unprecedented rate, there is an urgent need to consider its ethical implications. AI has the potential to revolutionize many industries, but it also presents new challenges and risks. Programmers play a critical role in shaping the development and deployment of AI, and must therefore be aware of its ethical implications.
In this session, we will explore the ethical considerations of AI and its impact on society. We will examine the challenges of developing and deploying AI systems that are unbiased, transparent, and accountable. We will discuss the ethical implications of AI in different fields, including healthcare, finance, and transportation. We will also explore the role of programmers in ensuring that AI is developed and deployed ethically.
Finally, we will discuss best practices for ethical implementation of AI, including designing for transparency, fairness, and accountability. We will also consider the importance of ethical decision-making frameworks and guidelines for AI development and deployment. By the end of this session, participants will have a better understanding of the ethical implications of AI and how they can play a role in ensuring that AI is developed and deployed ethically.
This document discusses several issues related to AI safety and ethics, including biased datasets, privacy concerns, manipulation, and potential harms of advanced machine intelligence such as discrimination and loss of human control. It also references Asimov's Three Laws of Robotics and emphasizes the importance of developing AI that benefits humanity.
In the next 10 years, smart machines will augment humans in many tasks like assisting doctors, fighting in battles, manufacturing, and assisting in various professions. While machines will replace humans in some routine tasks, the partnership between humans and machines will build on our respective strengths. Humans have advantages in tasks requiring thinking, creativity, social/emotional skills, and improvisation, while machines are better suited for repetitive, dangerous, large/small-scale, and data-driven tasks. An optimal partnership is emerging where humans and machines collaborate to achieve more than either could alone.
AI in Law Enforcement - Applications and Implications of Machine Vision and M...Daniel Faggella
This presentation was given at an INTERPOL / United Nations events about law enforcement and AI, at INTERPOL's innovation lab in Singapore, July 11th, 2018.
The presentation itself covers nearly a dozen AI-related use cases, along with their possible uses in law enforcement, surveillance, or falsifying evidence.
The Future of Moral Persuasion in Games, AR, AI Bots, and Self Trackers by Sh...Sherry Jones
The document discusses the future of moral persuasion in technologies like games, augmented reality, artificial intelligence bots, and self-trackers. It predicts that future technologies will include human-like AI bots that have moral conversations with users to reflect on values and social problems. AI may also engage users in moral reasoning before decisions. Companies may attempt to control behaviors, and technologies will need to be transparent about their ethical codes, values, and data practices.
Resource list for Noora Aabad's AI presentation. Ethical AI is a shared responsibility. Students, teachers, users, programmers, investors, regulators, and others all play a role in determining the future of AI technology development and use. This session will feature an innovative and interactive approach to a virtual panel, giving both panelists and attendees the opportunity to interact and respond to various AI scenarios and activities. While the moderator and panelists demonstrate and discuss on-screen, attendees also have the opportunity to share their own insights, observations, and questions in a moderated chat.
The Future is Here: The Impact of Data on Society and Our Daily LivesJim "Brodie" Brazell
The Future is Here: The Impact of Data on Society and Our Daily Lives
Wearable Computers
Robots
Video Games
Philadelphia Department of Education, Data Summit, Lancaster, PA, May 18, 2014, Keynote Jim Brazell Ventureramp.com
Digital Transformation of the legal sector: #legaltech and more.
Case of theJurists Europe (deJuristen/lesJuristes/theJurists) of digital transformation and Artificial Intelligence.
This document discusses several issues related to AI safety and ethics, including biased datasets, privacy concerns, manipulation, and potential harms of advanced machine intelligence such as discrimination and loss of human control. It also references Asimov's Three Laws of Robotics and emphasizes the importance of developing AI that benefits humanity.
In the next 10 years, smart machines will augment humans in many tasks like assisting doctors, fighting in battles, manufacturing, and assisting in various professions. While machines will replace humans in some routine tasks, the partnership between humans and machines will build on our respective strengths. Humans have advantages in tasks requiring thinking, creativity, social/emotional skills, and improvisation, while machines are better suited for repetitive, dangerous, large/small-scale, and data-driven tasks. An optimal partnership is emerging where humans and machines collaborate to achieve more than either could alone.
AI in Law Enforcement - Applications and Implications of Machine Vision and M...Daniel Faggella
This presentation was given at an INTERPOL / United Nations events about law enforcement and AI, at INTERPOL's innovation lab in Singapore, July 11th, 2018.
The presentation itself covers nearly a dozen AI-related use cases, along with their possible uses in law enforcement, surveillance, or falsifying evidence.
The Future of Moral Persuasion in Games, AR, AI Bots, and Self Trackers by Sh...Sherry Jones
The document discusses the future of moral persuasion in technologies like games, augmented reality, artificial intelligence bots, and self-trackers. It predicts that future technologies will include human-like AI bots that have moral conversations with users to reflect on values and social problems. AI may also engage users in moral reasoning before decisions. Companies may attempt to control behaviors, and technologies will need to be transparent about their ethical codes, values, and data practices.
Resource list for Noora Aabad's AI presentation. Ethical AI is a shared responsibility. Students, teachers, users, programmers, investors, regulators, and others all play a role in determining the future of AI technology development and use. This session will feature an innovative and interactive approach to a virtual panel, giving both panelists and attendees the opportunity to interact and respond to various AI scenarios and activities. While the moderator and panelists demonstrate and discuss on-screen, attendees also have the opportunity to share their own insights, observations, and questions in a moderated chat.
The Future is Here: The Impact of Data on Society and Our Daily LivesJim "Brodie" Brazell
The Future is Here: The Impact of Data on Society and Our Daily Lives
Wearable Computers
Robots
Video Games
Philadelphia Department of Education, Data Summit, Lancaster, PA, May 18, 2014, Keynote Jim Brazell Ventureramp.com
Digital Transformation of the legal sector: #legaltech and more.
Case of theJurists Europe (deJuristen/lesJuristes/theJurists) of digital transformation and Artificial Intelligence.
Artificial intelligence is being increasingly used by governments for surveillance through tools like facial recognition, smart cities, and policing. Over 75 countries use AI for surveillance, with China having the largest implementation that collects facial data from cameras. AI is also impacting economies by automating many jobs and potentially exacerbating wealth inequality. It could create new jobs but may replace workers and reduce tax revenue. The future effects of AI are uncertain but it is rapidly transforming society and influencing various industries and how we interact with technology. Governments are also using social media data and personality profiles to target political ads and influence elections.
This document discusses several social, legal, and ethical aspects of computing. It addresses topics like social computing, privacy, computer crimes, cyber law, intellectual property, slander, plagiarism, copyright law, and computer viruses. The document provides definitions and explanations of these topics. For example, it defines social computing as concerned with the intersection of social behavior and computational systems. It also explains that cyber law aims to protect the internet and prevent the misuse of computers through legislation. The document aims to outline and explore various important issues related to the social, legal, and ethical dimensions of computing.
The document discusses the ethics of artificial intelligence and outlines both benefits and risks. It begins by introducing speakers on the topic and defining artificial intelligence. It then notes that AI is already used widely to make decisions that affect people's lives. Both benefits of AI like increased precision and risks like job loss requiring retraining are discussed. Concerns are raised by experts like Bill Gates, Elon Musk, and Stephen Hawking about potential existential threats from advanced AI. The document calls for safe and robust AI to avoid negative outcomes through exploration and oversight. It concludes that forward-thinking people are working to address the challenges of ensuring AI is developed and applied responsibly.
The documents discuss the balance between AI and human workers. By 2021, AI assistants are forecast to handle 85% of customer service queries at just 10% of the cost of live agents. However, humans still provide skills like empathy, ethics and complex decision making that AI cannot replace. When used as augmentation rather than replacement, AI can help humans perform tasks faster and improve outcomes. An experiment found that including AI bots in a coordination game improved overall human performance, particularly during difficult tasks. For the future, organizations must view digital transformation as both a technology and people journey to create new jobs and reskill employees as roles evolve with new technologies.
This document discusses human rights issues related to artificial intelligence. It begins with definitions of key AI concepts like machine learning, deep learning, and algorithms. It then explains how AI can both help and potentially harm society. The document outlines how various human rights may be impacted by current and future applications of AI, such as privacy and non-discrimination. It concludes with recommendations for stakeholders to address human rights harms through approaches like data protection laws and increased research.
3 Steps To Tackle The Problem Of Bias In Artificial IntelligenceBernard Marr
Artificial intelligence (AI) is facing a problem: Bias. As more and more decisions are being made by AIs, this is an issue that is important to us all. In this article we look at some key steps you can take to ensure AIs of the future are not biased against, e.g., race, gender, sexuality, etc.
This document discusses 5 potential problems with increased robot use: 1) Robot smog from traffic and pollution, 2) Robot spam from increased noise and data collection, 3) Robot stereotypes from biases in data and design, 4) Robot surveillance from sensors collecting vast amounts of data, and 5) Robot subversion from manipulating behavior. It also presents 5 principles for responsible robotics: 1) Don't make killer robots, 2) Robots should obey the law, 3) Robots should be good products, 4) Robots should be transparent, and 5) Robots should be identifiable.
Technological Revolutions and Cultural Revolutions: OSCON 2014Tim O'Reilly
Open source, DevOps, cloud computing, and the internet of things don't just require new technology, they require new thinking about how society and business is to be organized. It's critical, therefore, to infuse the work that developers do with human values, and to build a world that we are proud of.
The document discusses various topics related to artificial intelligence including movies and applications that feature AI technologies. It provides examples of AI assistants like Siri, Google Assistant, Cortana and Alexa. It also discusses how data is used to train machine learning and deep learning algorithms to power AI applications. Common applications of AI mentioned include speech recognition, face recognition, automation, data mining and email spam filtering. The future of AI is described as an AI-driven world where humans may be augmented by AI.
[DSC Adria 23] MARIJANA ŠAROLIĆ ROBIĆ Everyone is invited to AI enhanced pres...DataScienceConferenc1
Recent development in technology led to AI being in the spotlight of general public and media. Some of us are terrified, some of us surprised, some excited by such technology shifts. However, what is the actual status of AI regulatory framework in EU and what are the key concerns for AI startups and SMEs implementing AI in their products and services. Let us find out together.
Relevance of Internet Governance, IGF, CoC, CFR, Elon Musk, Mark Zuckerberg, AI, Artificial Intelligence, Number Resource Organization, NRO, five horsemen, Internet of Things and Big Data, Cloud Computing, IP, IPv6, Ronal Reagan,
Průmysl postavený na porušování autorských práv, vykořisťování umělců a zabíjení kreativity se nachází v krizi. Je šance, že se změní? Nebo mu zasadíte ránu z milosti?
A Democratic member of the Maryland House of Delegates approved a new bill that would greatly expand authorities' ability to monitor communications like email and phone calls. She explained her support by saying that after 9/11, civil liberties concerns about monitoring jaywalkers no longer mattered. Critics argue the bill compromises privacy and civil liberties.
The document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines, especially computer programs, and using computers to understand human intelligence. It notes that AI is seen in recommender systems, virtual assistants, face and object recognition used by companies like YouTube, Facebook, Amazon, Google. The document also discusses machine learning, the Turing test, game playing, applications of AI in healthcare like genome editing and nanobots, using AI for social good like reducing pollution and crime, and potential problems like unemployment and threats to privacy.
FUTURE OF COMPUTER ETHICSComputers and the transformations.docxbudbarber38650
FUTURE OF COMPUTER ETHICS
Computers and the transformations they engender have only recently entered into most people’s lives. Large mainframes used by the government and businesses made their debut only 60 years ago, and the personal computer began appearing in small businesses and homes as recently as the early 1980s. While the precursor of the Internet was created almost 40 years ago, widespread use of the Internet and the creation of the World Wide Web occurred during the past fifteen years. The field of computer ethics has been developed to address ethical problems arising from new technologies. While accurately predicting the direction of such ethical considerations in the future is impossible, some general speculations can be made on emerging trends.
New Computer Ethics Laws
Legislation is often slow to catch up to the reality of everyday life. Eventually it does catch up and this will prove true for many of the computer ethics issues we face today. For example, many attempts have already been made in the United States to draft laws increasing personal privacy protection.
Artificial Intelligence and Avatars
The first generation of avatars, digital representations that look and talk like ordinary people, has already appeared. Given the rapid advances in technological capabilities and artificial intelligence, predicting that avatars in the future will be indistinguishable from real human beings is not farfetched. This eventuality will pose a rash of ethical dilemmas. For example, should computer users necessarily be warned that they are dealing with an avatar and not a human being? Should avatars be prevented from emulating certain behaviors? In what ways might avatars be used by some for criminal activities, and how can such behavior be prevented? These are just a few of the numerous ethical questions arising from future developments in artificial intelligence.
Self-Replicating Robots
We already know that robots can be created that, in turn, create other robots. Such self-replication of technology has great potential to get out of hand, and it thus poses numerous ethical concerns. For instance, have we created a technology that might someday displace, dominate, or even eliminate human beings? How can we know? These are some of the ethical questions concerning robots that will be debated in the future.
Narrowing the Digital Divide
While the digital divide between developed countries is narrowing, the gulf between developed and underdeveloped nations is still vast. Debate over how this gap is to be narrowed will continue. Should poorer nations be encouraged to concentrate on gaining basic needs, such as adequate electricity, communications, and health care infrastructures, or should they be encouraged to use available resources to develop digital technologies in order to “catch up” with developed nations? Will computer technologies truly benefit less developed societies and, if so, how? What role should developed nations play in providing.
The document discusses 5 potential dangers of artificial intelligence in the future: 1) Invasion of privacy through technologies like facial recognition, 2) Development of autonomous weapons that could harm humans, 3) Loss of human jobs as AI takes over more tasks, 4) Use of AI by terrorists to conduct attacks, and 5) AI systems reflecting the biases of their human creators. It also outlines applications of AI in areas like drones, robots, smart cities, digital twins, and retailing when combined with the Internet of Things.
Hunter Moore created a revenge porn website called IsAnyoneUp that posted explicit photos of individuals without their consent, often ruining their lives. While his actions cultivated an online following, they also seriously harmed many victims. The document discusses the evolving concept of privacy throughout history with the development of new technologies, and examines related legal issues and protections around privacy between individuals and from government intrusion. It notes businesses like Google are pushing privacy boundaries with data collection and raises questions about expectations of privacy in the digital era.
Managing the Human Side of Technology: Leadership in Times of ChangeJeff McWherter
In today's rapidly evolving technological landscape, leaders face the critical challenge of managing the human side of technology. This session delves into the essential aspects of effective Human Management in the digital age.
As organizations embrace technological advancements and undergo digital transformations, leaders must navigate the complexities of change, including handling resistance to change and guiding teams through technological transitions.
This session offers insights, strategies, and practical approaches for leaders to effectively lead their teams through these pivotal moments.
Key topics covered in this session include:
-The "why" behind the what: How change impacts humans, not just code.
-Turning FUD into fuel: Taming the fear of the unknown and using it to drive progress.
-From "no way" to “oh yeah": Strategies to win buy-in and get your team excited about the journey.
-Tech's not the enemy: Building a culture of continuous learning and embracing change as a superpower.
This document outlines a 5 day plan for analyzing mobile app infection rates and activities. On day 1, reconnaissance of infection rates is conducted on Android, iOS, and Windows Phone platforms based on population density and past iCrossing data. On day 2, surviving desktop marketing and management teams and customers is the focus. Day 3 involves thriving by reflecting on whether an app is infected based on what permissions and capabilities it has, such as accessing the camera or sending push notifications. Day 4 continues reflecting. By day 5, if an app is determined to be infected, it will be "eaten". Contact information is provided for Jeff McWherter, a mobile infantry survivalist.
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Artificial intelligence is being increasingly used by governments for surveillance through tools like facial recognition, smart cities, and policing. Over 75 countries use AI for surveillance, with China having the largest implementation that collects facial data from cameras. AI is also impacting economies by automating many jobs and potentially exacerbating wealth inequality. It could create new jobs but may replace workers and reduce tax revenue. The future effects of AI are uncertain but it is rapidly transforming society and influencing various industries and how we interact with technology. Governments are also using social media data and personality profiles to target political ads and influence elections.
This document discusses several social, legal, and ethical aspects of computing. It addresses topics like social computing, privacy, computer crimes, cyber law, intellectual property, slander, plagiarism, copyright law, and computer viruses. The document provides definitions and explanations of these topics. For example, it defines social computing as concerned with the intersection of social behavior and computational systems. It also explains that cyber law aims to protect the internet and prevent the misuse of computers through legislation. The document aims to outline and explore various important issues related to the social, legal, and ethical dimensions of computing.
The document discusses the ethics of artificial intelligence and outlines both benefits and risks. It begins by introducing speakers on the topic and defining artificial intelligence. It then notes that AI is already used widely to make decisions that affect people's lives. Both benefits of AI like increased precision and risks like job loss requiring retraining are discussed. Concerns are raised by experts like Bill Gates, Elon Musk, and Stephen Hawking about potential existential threats from advanced AI. The document calls for safe and robust AI to avoid negative outcomes through exploration and oversight. It concludes that forward-thinking people are working to address the challenges of ensuring AI is developed and applied responsibly.
The documents discuss the balance between AI and human workers. By 2021, AI assistants are forecast to handle 85% of customer service queries at just 10% of the cost of live agents. However, humans still provide skills like empathy, ethics and complex decision making that AI cannot replace. When used as augmentation rather than replacement, AI can help humans perform tasks faster and improve outcomes. An experiment found that including AI bots in a coordination game improved overall human performance, particularly during difficult tasks. For the future, organizations must view digital transformation as both a technology and people journey to create new jobs and reskill employees as roles evolve with new technologies.
This document discusses human rights issues related to artificial intelligence. It begins with definitions of key AI concepts like machine learning, deep learning, and algorithms. It then explains how AI can both help and potentially harm society. The document outlines how various human rights may be impacted by current and future applications of AI, such as privacy and non-discrimination. It concludes with recommendations for stakeholders to address human rights harms through approaches like data protection laws and increased research.
3 Steps To Tackle The Problem Of Bias In Artificial IntelligenceBernard Marr
Artificial intelligence (AI) is facing a problem: Bias. As more and more decisions are being made by AIs, this is an issue that is important to us all. In this article we look at some key steps you can take to ensure AIs of the future are not biased against, e.g., race, gender, sexuality, etc.
This document discusses 5 potential problems with increased robot use: 1) Robot smog from traffic and pollution, 2) Robot spam from increased noise and data collection, 3) Robot stereotypes from biases in data and design, 4) Robot surveillance from sensors collecting vast amounts of data, and 5) Robot subversion from manipulating behavior. It also presents 5 principles for responsible robotics: 1) Don't make killer robots, 2) Robots should obey the law, 3) Robots should be good products, 4) Robots should be transparent, and 5) Robots should be identifiable.
Technological Revolutions and Cultural Revolutions: OSCON 2014Tim O'Reilly
Open source, DevOps, cloud computing, and the internet of things don't just require new technology, they require new thinking about how society and business is to be organized. It's critical, therefore, to infuse the work that developers do with human values, and to build a world that we are proud of.
The document discusses various topics related to artificial intelligence including movies and applications that feature AI technologies. It provides examples of AI assistants like Siri, Google Assistant, Cortana and Alexa. It also discusses how data is used to train machine learning and deep learning algorithms to power AI applications. Common applications of AI mentioned include speech recognition, face recognition, automation, data mining and email spam filtering. The future of AI is described as an AI-driven world where humans may be augmented by AI.
[DSC Adria 23] MARIJANA ŠAROLIĆ ROBIĆ Everyone is invited to AI enhanced pres...DataScienceConferenc1
Recent development in technology led to AI being in the spotlight of general public and media. Some of us are terrified, some of us surprised, some excited by such technology shifts. However, what is the actual status of AI regulatory framework in EU and what are the key concerns for AI startups and SMEs implementing AI in their products and services. Let us find out together.
Relevance of Internet Governance, IGF, CoC, CFR, Elon Musk, Mark Zuckerberg, AI, Artificial Intelligence, Number Resource Organization, NRO, five horsemen, Internet of Things and Big Data, Cloud Computing, IP, IPv6, Ronal Reagan,
Průmysl postavený na porušování autorských práv, vykořisťování umělců a zabíjení kreativity se nachází v krizi. Je šance, že se změní? Nebo mu zasadíte ránu z milosti?
A Democratic member of the Maryland House of Delegates approved a new bill that would greatly expand authorities' ability to monitor communications like email and phone calls. She explained her support by saying that after 9/11, civil liberties concerns about monitoring jaywalkers no longer mattered. Critics argue the bill compromises privacy and civil liberties.
The document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines, especially computer programs, and using computers to understand human intelligence. It notes that AI is seen in recommender systems, virtual assistants, face and object recognition used by companies like YouTube, Facebook, Amazon, Google. The document also discusses machine learning, the Turing test, game playing, applications of AI in healthcare like genome editing and nanobots, using AI for social good like reducing pollution and crime, and potential problems like unemployment and threats to privacy.
FUTURE OF COMPUTER ETHICSComputers and the transformations.docxbudbarber38650
FUTURE OF COMPUTER ETHICS
Computers and the transformations they engender have only recently entered into most people’s lives. Large mainframes used by the government and businesses made their debut only 60 years ago, and the personal computer began appearing in small businesses and homes as recently as the early 1980s. While the precursor of the Internet was created almost 40 years ago, widespread use of the Internet and the creation of the World Wide Web occurred during the past fifteen years. The field of computer ethics has been developed to address ethical problems arising from new technologies. While accurately predicting the direction of such ethical considerations in the future is impossible, some general speculations can be made on emerging trends.
New Computer Ethics Laws
Legislation is often slow to catch up to the reality of everyday life. Eventually it does catch up and this will prove true for many of the computer ethics issues we face today. For example, many attempts have already been made in the United States to draft laws increasing personal privacy protection.
Artificial Intelligence and Avatars
The first generation of avatars, digital representations that look and talk like ordinary people, has already appeared. Given the rapid advances in technological capabilities and artificial intelligence, predicting that avatars in the future will be indistinguishable from real human beings is not farfetched. This eventuality will pose a rash of ethical dilemmas. For example, should computer users necessarily be warned that they are dealing with an avatar and not a human being? Should avatars be prevented from emulating certain behaviors? In what ways might avatars be used by some for criminal activities, and how can such behavior be prevented? These are just a few of the numerous ethical questions arising from future developments in artificial intelligence.
Self-Replicating Robots
We already know that robots can be created that, in turn, create other robots. Such self-replication of technology has great potential to get out of hand, and it thus poses numerous ethical concerns. For instance, have we created a technology that might someday displace, dominate, or even eliminate human beings? How can we know? These are some of the ethical questions concerning robots that will be debated in the future.
Narrowing the Digital Divide
While the digital divide between developed countries is narrowing, the gulf between developed and underdeveloped nations is still vast. Debate over how this gap is to be narrowed will continue. Should poorer nations be encouraged to concentrate on gaining basic needs, such as adequate electricity, communications, and health care infrastructures, or should they be encouraged to use available resources to develop digital technologies in order to “catch up” with developed nations? Will computer technologies truly benefit less developed societies and, if so, how? What role should developed nations play in providing.
The document discusses 5 potential dangers of artificial intelligence in the future: 1) Invasion of privacy through technologies like facial recognition, 2) Development of autonomous weapons that could harm humans, 3) Loss of human jobs as AI takes over more tasks, 4) Use of AI by terrorists to conduct attacks, and 5) AI systems reflecting the biases of their human creators. It also outlines applications of AI in areas like drones, robots, smart cities, digital twins, and retailing when combined with the Internet of Things.
Hunter Moore created a revenge porn website called IsAnyoneUp that posted explicit photos of individuals without their consent, often ruining their lives. While his actions cultivated an online following, they also seriously harmed many victims. The document discusses the evolving concept of privacy throughout history with the development of new technologies, and examines related legal issues and protections around privacy between individuals and from government intrusion. It notes businesses like Google are pushing privacy boundaries with data collection and raises questions about expectations of privacy in the digital era.
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In today's rapidly evolving technological landscape, leaders face the critical challenge of managing the human side of technology. This session delves into the essential aspects of effective Human Management in the digital age.
As organizations embrace technological advancements and undergo digital transformations, leaders must navigate the complexities of change, including handling resistance to change and guiding teams through technological transitions.
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-From "no way" to “oh yeah": Strategies to win buy-in and get your team excited about the journey.
-Tech's not the enemy: Building a culture of continuous learning and embracing change as a superpower.
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A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
What is Continuous Testing in DevOps - A Definitive Guide.pdfkalichargn70th171
Once an overlooked aspect, continuous testing has become indispensable for enterprises striving to accelerate application delivery and reduce business impacts. According to a Statista report, 31.3% of global enterprises have embraced continuous integration and deployment within their DevOps, signaling a pervasive trend toward hastening release cycles.
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...kalichargn70th171
In today's fiercely competitive mobile app market, the role of the QA team is pivotal for continuous improvement and sustained success. Effective testing strategies are essential to navigate the challenges confidently and precisely. Ensuring the perfection of mobile apps before they reach end-users requires thoughtful decisions in the testing plan.
Stork Product Overview: An AI-Powered Autonomous Delivery FleetVince Scalabrino
Imagine a world where instead of blue and brown trucks dropping parcels on our porches, a buzzing drove of drones delivered our goods. Now imagine those drones are controlled by 3 purpose-built AI designed to ensure all packages were delivered as quickly and as economically as possible That's what Stork is all about.
Photoshop Tutorial for Beginners (2024 Edition)alowpalsadig
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
- Tools and techniques to analyze and improve user experience.
4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...Paul Brebner
Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.
Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration
2. Ethics
The What
Ethics examines the rational justification for our moral judgments; it studies
what is morally right or wrong, just or unjust. In a broader sense, ethics
reflects on human beings and their interaction with nature and with other
humans, on freedom, on responsibility and on justice.
https://www.canada.ca/en/treasury-board-secretariat/services/values-ethics/code/what-is-ethics.html
3. Ethics
The Importance
Ethics is what guides us to tell the truth, keep our promises, or help
someone in need. There is a framework of ethics underlying our lives on a
daily basis, helping us make decisions that create positive impacts and
steering us away from unjust outcomes
https://rahuleducation.org/our-scribes/ethics/
4.
5. Isaac Asimov’s Laws of Robotics
• Law One – “A robot may not injure a human being or,
through inaction, allow a human being to come to harm.”
• Law Two – “A robot must obey orders given to it by
human beings except where such orders would conflict
with the First Law.”
• Law Three – “A robot must protect its own existence, as
long as such protection does not conflict with the First or
Second Law.”
• Asimov later added the “Zeroth Law,” above all the others
– “A robot may not harm humanity, or, by inaction, allow
humanity to come to harm.”
https://www.brookings.edu/articles/isaac-asimovs-laws-of-robotics-are-wrong/
10. Types of AI
Three different cute robots one is Dark Blue one is yellow one is red all looking at each other confused--ar 16:9 - Image #2 @jeff_mcwherter
21. Systemic discrimination involves the procedures, routines and
organizational culture of any organisation that, often without intent,
contribute to less favourable outcomes for minority groups than for
the majority of the population, from the organisation’s policies,
programs, employment, and services.
https://www.coe.int/en/web/interculturalcities/systemic-discrimination
22. What Can We Do To Fix
• Build it Better
• More Data
• More Diverse Data
• Police it Better
Gender recognition AI, no matter how inclusive we try to make it, will always be premised
because someone can look at you and tell you what your deal is, and that is always going to be
incorrect.
23. Data Flatting Problem
what is an image that relates to stealing
cute red robot in an Art Heist: An artistic representation of a sophisticated art theft, showing thieves taking valuable paintings from a museum or gallery, possibly
wearing black suits and masks, which adds an element of drama and intrigue. --ar 16:9
24. Create an image with Jason from Friday the 13th stunting cheerleaders using the style of Steve Jencks from Lansing Michigan and screamprints.com.
27. Distribution of Wealth
cute red robot that looks like the monopoly man, with a top hat and monocle with gold coins in the background like scrooge mcducks money bin --ar 16:9 - Variations (Strong) by @je
28. Environmental Problem
cute red robot holding a dead daisy that is drooping, with factories in the background with billowing smokestacks --ar 16:9 - Image #3 @jeff_mcwherter
29. What Can We Do To Fix
• Regulation - privacy laws, antitrust laws, copyright
• Data-Owning Democracy - you decide what to do
• Digital Socialism - owned by society
Both Data-Owning Democracy and Digital Socialism recommend the redistribution of property
to increase citizens' economic power because AI changes our concept of private property.
30. If we truly believe humans are equal, we need to
do better.
31. The Alignment Problem
Making variations for image #4 with prompt robot picking a daisy in a green field --ar 16:9 - Image #4 @jeff_mcwherter
32. cute red robot, creating another robot in a workshop --ar 16:9 - Image #2 @jeff_mcwherter
Conclusions
33. When people talk about ethical AI, instead of
talking Skynet; we should think about working
conditions, climate change, and how to make
the economy serve humans rather than the
other way around.
Abigail Thorn -Philosophy Tube
-The rules were introduced in his 1942 short story "Runaround"
-We need to start wrestling with the ethics of the people behind the machines.
https://www.brookings.edu/articles/isaac-asimovs-laws-of-robotics-are-wrong/
-Digital conciseness that surpasses humanity and might do away with us
-Does not exist
-AI is hot, show Mrs. Davis-Instead of focusing on a future existential crisis let’s focus on something more tangible.
-Making sure AI aligns with Human Values
-It’s the idea that AI systems’ goals may not align with those of humans, a problem that would be heightened if super intelligent AI systems are developed
https://spectrum.ieee.org/the-alignment-problem-openai
-Algorithms - rank job applications, credit score, parole
-Security system- recognize faces and voices
-Text and image systems - Chat GPT and DaLLELLMModels LLaMA, to Alpaca, to Vicuna
Bard and ChatGPT
Before we get to AGI, there are ethical issues with these types of AI
-BiasExplorer WEBSITE
https://www.aclu.org/news/womens-rights/why-amazons-automated-hiring-tool-discriminated-against
-Men must be better applications because they get more jobs
Tools used for Risk Assessments
https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
https://www.thedailybeast.com/openais-impressive-chatgpt-chatbot-is-not-immune-to-racism
-you get denied something and you don’t know why
-EU laws on transparency
-Up until a few years ago, did not have standard way to document models-Its important to document what it can do, and what it cant.
https://huggingface.co/meta-llama/Meta-Llama-3-8B
https://huggingface.co/spaces/huggingface/Model_Cards_Writing_Tool
-If an AI makes a decision about your life, you be entitled to know why it did that, and the right for an explanation
-A counterfactual explanation describes a causal situation in the form: “If X had not occurred, Y would not have occurred”-If you didn’t spell the company name wrong….you would have got the job
-What kind of expiation do you want…do you want to see the code…or tell you what it did in your case?
-Black box so complex mystery to their creator, we could guess if you spelled it right, you got the job
-Models are so complex and programmers don’t understand them they can build a 2nd surrogate giant model to explain the 1st model
-Fairwashing is the idea that a company who designed an AI keeps the 'brain' of the AI hidden, claims it's fair, but often knows that it is in fact, heavily biased to produce specific results.
-Concept introduced by a group of scientist in 2019
-Full Body Scanner -
-Just before you step inside, someone looks at you and then pushes a button Blue or Pink
-The scanner looks for lumps that might indicate something hidden under your close
-If you are a transgender woman with a penis and breasts …this presents a dilemma
-You may have to answer humiliating questions, out yourself as trans, or even get grouped
-The system sees the penis on a woman as strange because CIS gender, folks who are not trans, people built it
-Ordinary people cannot challenge organizations that misuse AI
-AI and all Technology is used in an already imperfect society
-The world is not black and white, and the machine expects that
-Technology encodes ways of seeing
-Epidermalization comes from Franz Fanton, while in France found people called him strange and dangerous because he was black
-They were projecting meaning onto the color of his skin
-At any time, he could have the meaning of his being assigned to him by a white person
-Part of being in a racial minority is a white person tell you what your deal is-Digital Epidermalization is a concept introduced by researcher Simon Brown-We assume the machine is neutral and fair
-Machines detect information that is already there
-Machine tells you “thats strange”
-People assume the machine is neutral
-was not tested thoroughly?-Not enough diverse people working on the software?
Not enough training data that was diverseWhat does it have to do with AI?
-Facial recognition, Gender detection
-Facial recognition optimized to white faces
-Gender recognition….You can’t always tell gender by their face, it may work well enough, but it might be useful most of the time
-It encodes a way of seeing, particle with trans people.
-That’s unfortunate; they are a small minority. a mistake that keeps to a group of people…that not a mistake…that systemic discrimination
Also called institutionalized discrimination
-AI is used in an imperfect society
-Solutions may not be technical
-No content is given
-Its just data
-Training data is made from and by people
-Common Crawl
-Hard to find proof https://spawning.ai/
When it comes to training AI models, however, the use of copyrighted materials is fair game. That’s because of a fair use law that permits the use of copyrighted material under certain conditions without needing the permission of the owner. But pending lawsuits could change this.
Common Crawl WEBSITE
-Sexualizes cheer leaders…. No male cheer leaders-I think the style is close-Putting the character in the situation
-haveibeentrained.com
From spawning
-Lion-5b ….in hot water for having child abuse photos in the data model
-Opt out, stability creators of stable diffusion and then hugging face the large data model repository respecting
-Common Crawl dump
-microwork
-Amazon Mechanical Turk
-difficult to unionize
-Jobs getting de-skilled atomized, more surveillance, less worker power, and generally shitty
-sub-employment
-You are freer when you work for humans-Chat GPT paid people in Kenya 2$ an hour to train the model-It’s not just the money; think of the hate topics they had to read all day
https://time.com/6247678/openai-chatgpt-kenya-workers/
OpenAI used outsourced Kenyan laborers earning less than $2 per hour, a TIME investigation has found.
https://time.com/6247678/openai-chatgpt-kenya-workers/-Data annotation.tech WEBSITE
Estimated $500 billion in new household wealth by the year 2045
Georgists-property taxes should be eliminated, replaced with a tax on land
Sam Altman says expect land and corp tax, This money should be used to buy shares in the company, and given to citizens as a universal income
Moore's Law for Everything sam Altman
-non-renewal metal mining and CO2
-Mining causes damage to people and the environmental
-Training an AI can take as much as the energy it costs for 30 homes over one year …and 25 tons of CO2, which is like driving your car 25 times around the planet-Each time you query that AI model, it comes with a cost to our planet
-Big models like chatGPT emit over 20x more carbon.
-When you are doing high processing jobs, do you know where the engird comes from?
-Canada a lot of hydro energy. When generating your model where you do it matters. -CodeCarbon.io WEBSITE
-AI is used in an imperfect society
-Solutions may not be technical
-Consent-AI does not exist in a vacuum, it is part of so society and can impact people.
-We need to create tools for tracking and understanding ai better.
-Important that A( stays accessible so we know it works and when it does not work.
-When we create tools to measure AI impacts we can get an idea of how bad it is-We can start creating guard rails
-Companies can use it because this model is more sustainable or may you select models because it respects copyright
-Understand now large-scale computing needs resources and labor
-Even if we built a poorly aligned AGI, its power would not come from technology but from human systems in which technology is embedded.
-Power of a hostile AGI would still depend on its relationship to our existing political and social systems
-Focus on current tangle impacts
Can we make ethical AI? …..
-who is we?
-are we equipped as a society to make ethical changes?
-Its not enough to pay lip service, we need to act