Roman Yampolskiy
Associate Professor of Computer Science, University of Louisville
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Roman Yampolskiy (born 1979 in Riga, then part of the Soviet Union) is a computer scientist and Associate Professor in the Department of Computer Engineering and Computer Science at the University of Louisville's Speed School of Engineering, where he founded and directs the Cyber Security Lab. He holds a PhD from the University at Buffalo and is credited with coining the term "AI safety" in a 2011 publication, work that helped establish the field as an academic discipline in its own right. His research argues that the standard optimism about AI safety — that with enough time, funding, and careful engineering a superintelligent system could be kept controllable indefinitely — rests on an unproven assumption; his papers on AI unpredictability, unexplainability, and uncontrollability contend that no system smart enough to be useful can be made safe against every possible failure, across every malicious actor and every round of self-improvement. He has authored several books, including Artificial Superintelligence: A Futuristic Approach (2016) and AI: Unexplainable, Unpredictable, Uncontrollable (2024), and continues to publish widely on AI safety, AI boxing, and cybersecurity.
Key Contributions
- Coined the term "AI safety" in a 2011 publication, helping establish it as a distinct field of research
- Founded and directs the Cyber Security Lab at the University of Louisville's Speed School of Engineering
- Argues across a body of peer-reviewed research that controlling a superintelligent AI system is not merely difficult but provably unsolvable — comparable to building a perpetual motion machine that must never fail
- Introduced and studied "AI boxing" — strategies for physically and informationally containing a potentially dangerous AI system — and the theoretical limits on how well such strategies can work
- Authored Artificial Superintelligence: A Futuristic Approach (2016) and AI: Unexplainable, Unpredictable, Uncontrollable (2024), alongside more than 100 publications on AI safety and cybersecurity