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Social & Ethical Issues: Instructional Materials


Discover the Best of AI by Just Watching Videos

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I started down the AI rabbit hole two years ago. Looking back, I never felt like I was studying -- I was having fun. To me, AI was simply much cooler than most things at work or at school. It was real-life science fiction, and I felt like I was binge-watching good TV. Artificial Intelligence should not be intimidating.


Top AI Resources Directory

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The Women in AI Podcast - Women at the forefront of AI discuss their work and diversity issues faced in STEM - Listen here. The DeepMind Podcast - A new series that we hope will answer the difficult questions in AI - Listen here. Lex Fridman's AI Podcast - a series of conversations about technology, science, and the human condition hosted by MIT's Lex Fridman - Listen here. The Eye on AI - Justin Gottschlich explains his group's efforts to automate software development - Listen along here. The NVIDIA AI Podcast - NVIDIA release new episodes every other week with guest speakers at the forefront of AI - Listen along here. Artificially Intelligent - Weekly discussions on the impacts of AI - Listen here. Underrated ML - Regular RE•WORK speaker, Sara Hooker & her brother, Sean Hooker have started their new podcast based on underrated ML papers - Listen here. Concerning AI - A series on AI hosted by Ted Sarvata & Brandon Sanders - Listen here.


The Real Threat to Business Schools from Artificial Intelligence - Knowledge@Wharton

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Artificial intelligence (AI) will change the way we learn and work in the near future. Nearly 400 million workers globally will change their occupations in the next 10 years, and business schools are uniquely situated to respond to the shifts coming to the future of work. However, a recent study, "Implications of Artificial Intelligence on Business Schools and Lifelong Learning," shows that business schools remain cautious in adapting management education to address the changing needs of students, workers and organizations, writes Anne Trumbore in this opinion piece. Trumbore, one of the study's coauthors, is senior director of Wharton Online, a strategic digital learning initiative at the Wharton School of the University of Pennsylvania. In the past few weeks, COVID 19 has moved hundreds of millions of students around the globe from physical to online classes.


AI in Finance: The first online course about Machine Learning in finance

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For those who want to understand how Artificial Intelligence is transforming financial services i.e. AI in Finance, learn from those who are building the future of finance in the biggest banks, tech companies and fast-growing startups: http://www.cfte.education/aifinance It is designed around 18 modules of video lectures, reading assignments and assessment quizzes. Learners can interact with other participants through an online forum, and receive weekly emails with additional content. Once enrolled in the course, participants join a global community of finance professionals, technologists and entrepreneurs interested in AI.


University Offers Free Class on Artificial Intelligence Ethics

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The future of artificial intelligence (AI) is here: self-driving cars, grocery-delivering drones and voice assistants like Alexa that control more and more of our lives, from the locks on our front doors to the temperatures of our homes. For example, should an autonomous vehicle swerve into a pedestrian or stay its course when facing a collision? These questions plague technology companies as they develop AI at a clip outpacing government regulation, and have led Seattle University to develop a new ethics course for the public. Launched last week, the free, online course for businesses is the first step in a Microsoft-funded initiative to merge ethics and technology education at the Jesuit university. Seattle U senior business-school instructor Nathan Colaner hopes the new course will become a well-known resource for businesses "as they realize that [AI] is changing things," he said.


AI is here to stay, but are we sacrificing safety and privacy? A free public Seattle U course will explore that

#artificialintelligence

The future of artificial intelligence (AI) is here: self-driving cars, grocery-delivering drones and voice assistants like Alexa that control more and more of our lives, from the locks on our front doors to the temperatures of our homes. For example, should an autonomous vehicle swerve into a pedestrian or stay its course when facing a collision? These questions plague technology companies as they develop AI at a clip outpacing government regulation, and have led Seattle University to develop a new ethics course for the public. Launched last week, the free, online course for businesses is the first step in a Microsoft-funded initiative to merge ethics and technology education at the Jesuit university. Seattle U senior business-school instructor Nathan Colaner hopes the new course will become a well-known resource for businesses "as they realize that [AI] is changing things," he said.


How Should We Teach Gen Z about AI?

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Blakeley H. Payne from MIT Media Lab shares her experience building a course on AI for middle-schoolers and surprising learnings along the way. For our September AI Ethics Twitter Chat, we invited Blakeley H. Payne (@BlakeleyHPayne), Researcher at MIT Media Lab to get her insights on "How should we teach Gen Z about AI?" and learn about the great course on AI she has built for middle schoolers. Let's start off with your insights on what's different or unique about Gen Z and their attitude towards tech compared to other generations? Blakeley H. Payne: A term my advisor likes to use is "AI natives." Children of this era have grown up with AI-mediated technologies since birth.


A 20-Year Community Roadmap for Artificial Intelligence Research in the US

arXiv.org Artificial Intelligence

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.


Teaching AI, Ethics, Law and Policy

arXiv.org Artificial Intelligence

The cyberspace and the development of new technologies, especially intelligent systems using artificial intelligence, present enormous challenges to computer professionals, data scientists, managers and policy makers. There is a need to address professional responsibility, ethical, legal, societal, and policy issues. This paper presents problems and issues relevant to computer professionals and decision makers and suggests a curriculum for a course on ethics, law and policy. Such a course will create awareness of the ethics issues involved in building and using software and artificial intelligence.


The Next Frontier: Healthcare Artificial Intelligence Consulting

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There is an undeniable truth that Artificial Intelligence, which we will refer to simply as AI, is the next frontier for the healthcare industry. Several sources have already pegged the market to be worth $36.1 billion by 2025. For those of you who like simple language; the way AI works is by having it developed through machine learning, natural language processing, and deep learning. This process is controlled by programmers, who in a lot of cases are independent contractors. Regulatory frameworks will soon be created to govern this new boom, with consulting and online training courses becoming the next cash cows milking this industry for profits.