Google’s Nobel prize winners stir debate over AI research

LONDON – The award this week of Nobel prizes in chemistry and physics to a small number of artificial intelligence pioneers affiliated with Google has stirred debate over the company’s research dominance and how breakthroughs in computer science ought to be recognised.

Google has been at the forefront of AI research, but has been forced on the defensive as it tackles competitive pressure from Microsoft-backed OpenAI and mounting regulatory scrutiny from the US Department of Justice.

On Oct 9, Dr Demis Hassabis – co-founder of Google’s AI unit DeepMind – and his colleague, Dr John Jumper, were

awarded the Nobel Prize in chemistry

, alongside US biochemist David Baker, for their work decoding the structures of microscopic proteins.

Former Google researcher Geoffrey Hinton, meanwhile,

won the Nobel Prize in physics

on Oct 8, alongside American scientist John Hopfield, for earlier discoveries in machine learning that paved the way for the AI boom.

Professor Dame Wendy Hall, a computer scientist and adviser on AI to the United Nations, told Reuters that, while the recipients’ work deserved recognition, the lack of a Nobel Prize for mathematics or computer science has distorted the outcome.

“The Nobel Prize committee doesn’t want to miss out on this AI stuff, so it’s very creative of them to push Geoffrey through the physics route,” she said. “I would argue both are dubious, but nonetheless worthy of a Nobel Prize in terms of the science they’ve done. So how else are you going to reward them?”

Dr Noah Giansiracusa, an associate maths professor at Bentley University and author of How Algorithms Create And Prevent Fake News, also argued that Dr Hinton’s win was questionable.

“What he did was phenomenal, but was it physics? I don’t think so. Even if there’s inspiration from physics, they’re not developing a new theory in physics or solving a longstanding problem in physics.”

The Nobel Prize categories for achievements in medicine or physiology, physics, chemistry, literature and peace were laid down in the will of Swedish inventor Alfred Nobel, who died in 1895. The prize for economics is a later addition established with an endowment from the Swedish central bank in 1968.

Outpacing traditional academia

Regulators in the US are currently circling Google

for a potential break-up

, which could force it to divest parts of its business, such as its Chrome browser and Android operating system, which some argue allow it to maintain an illegal monopoly in online search.

The profits derived from its leading position have allowed Google and other Big Tech companies to outpace traditional academia in publishing groundbreaking AI research.

Dr Hinton himself has expressed some regrets about his life’s work, quitting Google in 2023 so that he could speak freely about

the dangers of AI

, and warning that computers could become smarter than people far sooner than previously expected.

Speaking at a news conference on Oct 8, he said: “I wish I had a sort of simple recipe that if you do this, everything’s going to be okay, but I don’t, in particular with respect to the existential threat of these things getting out of control and taking over.”

When he quit Google in 2023 over his AI concerns, Dr Hinton said the company itself acted very responsibly.

For some, this week’s Nobel Prize wins underscore how hard it is becoming for traditional academia to compete. Dr Giansiracusa told Reuters there was a need for greater public investment in research.

“So much of Big Tech is not oriented towards the next deep-learning breakthrough, but making money by pushing chatbots or putting ads all over the internet,” he said. “There are pockets of innovation, but much of it is very unscientific.” REUTERS