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Prabhakar Raghavan on AI regulation

From Prabhakar Raghavan - Can AI assist in Mathematics and Computer Science research? · · UC Berkeley EECS

“Banning models from science is a bit like banning microscopes from biology or telescopes from astronomy or whatever. And I was discussing this with a very senior computer scientist. And he said, well, but how do you know that the results are right? And if you put your name on the author list, you're taking responsibility for it. But I think he had a good point, which was, we will get besieged by a flood of false bad results.”

Prabhakar Raghavan
Chief Technologist, Google
Controversial AI regulationscientific integrityresearch accountability

On , Prabhakar Raghavan, Chief Technologist at Google, spoke about AI regulation during Prabhakar Raghavan - Can AI assist in Mathematics and Computer Science research? on UC Berkeley EECS.

Prabhakar Raghavan - Can AI assist in Mathematics and Computer Science research?
Watch on YouTube at 42:29
Prabhakar Raghavan - Can AI assist in Mathematics and Computer Science research?
UC Berkeley EECS
Watch on YouTube at 42:29
Biography: Prabhakar Raghavan is the Chief Technologist at Google, where he has held several senior roles since joining in 2012, including Senior Vice President with oversight of Search, Maps, Advertising, Gemini and Payments, and before that, responsibility for Gmail, Google Drive, Calendar and Google Docs. Previously, he led Yahoo! Labs and served as CTO at Verity, Inc following over a decade at IBM Research. He co-authored the textbooks Randomized Algorithms and Introduction to Information Retrieval. Raghavan received a PhD from Berkeley and a Dottore ad honorem from the University of Bologna, and is a member of the National Academy of Engineering. Abstract: We share our experience using LLMs to obtain new results in mathematics and computer science. We begin with an illustrative example from load-balancing in planet-scale cloud systems, outlining the abilities and limitations of LLMs. Next, we describe our experience with AlphaEvolve, an evolutionary language model from Google DeepMind, to establish new results in the approximability of the Traveling Salesman Problem (TSP), and MAX-CUT problem. We also derive new bounds for several Ramsey numbers. Our methodology entails evolving fleets of Python programs that generate proof chunks to yield these results, and to accelerate proof verification by up to 10,000x. We suggest that our results on inapproximability and Ramsey theory could not have been discovered by hand, and conclude with reflections on the state and promise of AI in mathematics and CS research. EECS Colloquium Wednesday April 15, 2026 Banatao Auditorium 4 - 5p
Prabhakar Raghavan

About Prabhakar Raghavan

Chief Technologist · Google

In April 2026, Prabhakar Raghavan delivered talks on the use of large language models (LLMs) in mathematics and computer science research. He described work using AlphaEvolve, an evolutionary language model from Google DeepMind, to produce new results in inapproximability and Ramsey theory, including the discovery of a gadget for the traveling salesman problem that he said would be difficult for a human to produce. Raghavan stated that he does not believe AI has yet provided a definitive capability that deepens human understanding, comparing the current state of LLMs to having "a large number of pretty smart research assistants." He also discussed the question of whether LLMs should be banned from scientific research, arguing that banning them would be "like banning microscopes from biology or telescopes from astronomy." He noted that about 20% of new computer science papers show markers of LLM-assisted writing and warned of the danger of flooding the review process with low-grade work. Raghavan and his wife Srilatha Raghavan established the Srilatha and Prabhakar Raghavan Centre for Information and Society at the Indian Institute of Technology Madras, inaugurated on April 6, 2026. In remarks at the event, Raghavan said he believes "information is empowerment and development" and framed the center's focus in the context of the Information Revolution rather than artificial intelligence specifically. He reflected on questions that arose during his leadership of information products, including how information access affects the economic trajectory of villages, democratic processes, and the adjudication of truth.

Profile compiled from Prabhakar Raghavan's verified public interviews and appearances. See all quotes & transcripts →

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