AI – A doomsday scenario with Roman Yampolskiy

Roman Yampolskiy, PhD, is a computer scientist and tenured professor at the University of Louisville, where he is currently the director of the Cyber Security Laboratory in the Department of Computer Engineering and Computer Science at the Speed School of Engineering. He is an expert on artificial intelligence, with over 100 published papers and books. He was one of the earliest exponents of artificial intelligence safety and remains a pre-eminent figure in the field. 

His latest book, ‘AI: Unexplainable, Unpredictable, Uncontrollable’, explores the unpredictability of AI outcomes, the difficulty in explaining AI decisions, and the potentially unsolvable nature of the AI control problem, as well as delving into more theoretical topics like personhood and consciousness in relation to artificial intelligence, and the potential hazards further AI developments might bring in the years to come.


01:29 What is AI and what’s the difference between AI, machine learning, deep learning, and generative AI?

03:17 How does generative AI work?

05:45 Why was it that 2022 was the year that AI went mainstream?

06:30 What are the challenges in training generative AI?

10:12 How does intelligence in the human brain compare to the intelligence in AI?

15:07 Alternative measures of AI intelligence

16:43 The best use of AI for humanity

20:07 How far away are we from replacing the workforce with AI?

25:33 Will we become a human AI interface?

27:13 Is AI neither inherently good or bad?

29:26 What do you think the changes will be in the next 1 to 3 years?

31:18 What is the best-case scenario for AI?

41:32 Why the chances of misaligned AI are not small

45:28 Strictly advisory AI versus human orders

Links mentioned: 

‘AI: Unexplainable, Unpredictable, Uncontrollable’ by Roman Yampolskiy

Roman’s LinkedIn

Roman’s X

Links mentioned: 

Neasa Hardimen’s Website

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Sea Fever


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