Ernest Davis on 2014

This AI Prediction was made by Ernest Davis in 2014.

Predicted time for AGI / HLMI / transformative AI:

(Hover for explanation)Types of advanced artificial intelligence: AGI (AI that can perform many tasks at a human-level), HLMI (more advanced AI that surpasses human intelligence in specific areas), and Transformative AI (AI that could significantly impact society and the world)

Fortunately, it would not be necessary for such restrictions to have any impact on AI research and development any time in the foreseeable future

Opinion about the Intelligence Explosion from Ernest Davis:

Not provided

Flycer’s explanation for better understanding:

AI research and development will not be impacted by any restrictions in the foreseeable future.

The future of humanity with AGI / HLMI / transformative AI:

Even so, one might reasonably argue that the dangers involved are so great that we should not risk building a computer with anything close to human intelligence. Something can always go wrong, or some foolish or malicious person might create a superintelligence with no moral sense and with control of its own off switch. I certainly have no objection to imposing restrictions, in the spirit of the Asilomar guidelines for recombinant DNA research, that would halt AI research far short of human intelligence

Flycer’s Secondary Explanation:

The risks of building a computer with human-like intelligence are significant, and some argue that it should not be attempted. There is a possibility of something going wrong or someone creating a superintelligence without moral sense or control over its off switch. The author suggests imposing restrictions on AI research to prevent it from reaching human intelligence levels.

About:

Ernest Davis is a renowned computer scientist and professor at New York University’s Courant Institute of Mathematical Sciences. He received his Ph.D. in computer science from the Massachusetts Institute of Technology in 1986 and has since made significant contributions to the field of artificial intelligence.Davis has authored over 100 research papers and several books, including “Representations of Commonsense Knowledge” and “Knowledge-Based Systems in Artificial Intelligence.” His research focuses on natural language processing, knowledge representation, and reasoning, and he has developed several algorithms and systems that have been widely adopted in the industry.In addition to his academic work, Davis has also served as a consultant for several companies, including IBM, AT&T, and Microsoft. He has received numerous awards for his contributions to the field, including the ACM SIGART Autonomous Agents Research Award and the IJCAI Computers and Thought Award.Davis is also a dedicated educator and has mentored several Ph.D. students who have gone on to become leaders in the field of artificial intelligence. He is a fellow of the Association for Computing Machinery and a member of the American Association for Artificial Intelligence.