Category: Artificial Intelligence

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Latest Read: Unsupervised

Unsupervised: Navigating and Influencing a World Controlled by Powerful New Technologies by Daniel Doll-Steinberg and Stuart Leaf.

Unsupervised: Navigating and Influencing a World Controlled by Powerful New Technologies by Daniel Doll-Steinberg and Stuart Leaf

Daniel holds a BS in Engineering from The University of Manchester UK and Honorary Senior Research Associate from University College London. He is a lecturer at The Wharton School. He is co-founder and partner at EdenBase. Advisor to the UK Government and European Commission on innovation, growth, and education policy. Stuart holds a BA in Economics and MBA from Stanford. He is co-founder of the Cadogan fund.

Written by experienced technology fund managers, Daniel and Stuart are addressing the broad range of powerful new technologies which are disrupting and transforming everything. In fact their message is simply now is the time that you must act and adapt. This book was named a Bloomberg Best Book of 2023.

At first glance you may consider the focus upon Unsupervised Machine Learning, but that is way off base. Daniel and Stuart are providing an overview of how a core set of disruptive technologies have been developing at an accelerating pace that most of the world is not accustomed to seeing. They also question who is in fact in control of these technologies, and are emphasizing that these have developed for the most part without any supervision.

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Artificial Intelligence Education Reading

Latest Read: The Worlds I See

The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI by Fei-Fei Li.

The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI by Fei-Fei Li

Fei-Fei holds a BA in Physics from Princeton University, MS and PhD in Electrical Engineering from California Institute of Technology. She is Professor in the Computer Science Department at Stanford University and Co-Director of Stanford’s Human-Centered AI Institute.

A Former Director of Stanford’s AI Lab she also served as Vice President and Chief Scientist for AI/ML at Google Cloud during her sabbatical from Stanford. She is co-founder of the nonprofit organization AI4ALL, aimed at increasing diversity and inclusion in AI education.

This book is a wonderful story of Fei-Fei’s life including the hardships her family endured leaving China to settle in America and smuggling to get by while a young girl. Another inspiration for the American dream as she took care of her ailing mother who dedicated her life to her daughter.

Throughout the book it is very clear Fei-Fei is moving between AI’s ability to become somewhat alarming to very optimistic to the potential of this technology.

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Artificial Intelligence Education Innovation Reading

Latest Read: Brave New Worlds

Brave New Words: How AI Will Revolutionize Education by Salman Khan.

Brave New Words: How AI Will Revolutionize Education by Salman Khan

Sal holds BS in both mathematics and electrical engineering from MIT. He holds a MS in electrical engineering also from MIT with a MBA from Harvard Business School. Sal founded Khan Academy after tutoring his cousin in mathematics in 2004 and launched online video tutorials in 2006.

He wrote Brave New Worlds in fact for general audiences to teach them about the AI revolution in education. He addresses the implications for parents and how to best address AI for good. Sal starts simple with ChatGPT, showing how it will transform learning. In fact, there is a roadmap addressing teachers, parents, and even students on how to engage our AI world. Sal demonstrates his AI-powered tutoring service Khanmigo which was obviously developed by Khan Academy.

Readers will also appreciate this is not an AI technology book. Sal is laying out the impact upon our society and implications from educational administrators, teachers, and guidance counselors, to hiring managers. Companies will certainly demand employees be AI aware in their education to make their workplace competitive.

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Artificial Intelligence Education Reading

Latest Read: Generative Artificial Intelligence

Generative Artificial Intelligence: What Everyone Needs to Know by Jerry Kaplan.

Generative Artificial Intelligence: What Everyone Needs to Know by Jerry Kaplan

Jerry holds BA in History and Philosophy of Science from the University of Chicago and PhD in Computer and Information Science (specializing in AI) from the University of Pennsylvania. He is Adjunct Lecturer at Stanford University’s Center for Democracy, Development, and the Rule of Law. Jerry co-founded GO Corporation in 1987.

This is a somewhat comprehensive guide to the very rapidly evolving field of Generative AI (Gen AI). Jerry is basically conveying GenAI may revolutionize society.

At the same time, Jerry is outlining risks and dangers associated with Gen AI including the abuse and misuse by authoritarian governments to spread disinformation and suppress dissent. Yet in the later chapters there seems to be a simplification of the ethical and societal impacts. There are also concerns that with such a respectable career, a more firm approach to AI ethics was missed.

To be fair, the AI market is so fluid today that the major competitors OpenAI, Microsoft, Google among a small handful of others, it appears somewhat challenging to forecast a market that will surly shift before the end of the year.

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Artificial Intelligence Education Reading

Latest Read: Privacy-Preserving Machine Learning

Privacy-Preserving Machine Learning by J. Morris Chang, Di Zhuang, and G. Dumindu Samaraweera.

Privacy-Preserving Machine Learning by J. Morris Chang, Di Zhuang, and G. Dumindu Samaraweera

Morris holds a BSEE from Tatung University, Taiwan and MS and PhD in computer engineering from North Carolina State University. He teaches at the University of South Florida. Di holds PhD in Computer Engineering from Iowa State University and the University of South Florida. He is a Security / Privacy Engineer at Snap Inc. Dumindu holds a MSc in Enterprise Application Development from Sheffield Hallam University and PhD in Electrical Engineering and Philosophy from University of South Florida. Today he is Assistant Professor of Data Science at Embry-Riddle Aeronautical University.

This was a book that places into perspective the need for ensuring privacy in our fast paced AI marketplace. The authors express the need not only to understand privacy within Machine Learning systems, but understanding methodologies to preserve user’s private data while maintaining performance on LLMs.

They address how personal data well embedded across various sectors increases the risks of data breaches. Just realize how your smartphone is tracked by marketing companies. In fact, they review the Facebook-Cambridge Analytica scandal and call for robust privacy measures in data-driven applications.

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