By MIKE MAGEE

Whether you’re talking health, environment, technology or politics, the common denominator these days appears to be information.  And the injection of AI, not surprisingly, has managed to reinforce our worst fears about information overload and misinformation. As the “godfather of AI”, Geoffrey Hinton, confessed as he left Google after a decade of leading their AI effort, “It is hard to see how you can prevent the bad actors from using AI for bad things.”

Hinton is a 75-year-old British expatriate who has been around the world. In 1972 he began to work with neural networks that are today the foundation of AI. Back then he was a graduate student at the University of Edinburgh. Mathematics and computer science were his life. but they co-existed alongside a well evolved social conscience, which caused him to abandon a 1980’s post at Carnegie Mellon rather that accept Pentagon funding with a possible endpoint that included “robotic soldiers.” 

Four years later in 2013, he was comfortably resettled at the University of Toronto where he managed to create a computer neural network able to teach itself image identification by analyzing data over and over again. That caught Google’s eye and made Hinton $44 million dollars richer overnight. It also won Hinton the Turing Award, the “Nobel Prize of Computing” in 2018. But on May 1 2023, he unceremoniously quit over a range of safety concerns.

He didn’t go quietly. At the time, Hinton took the lead in signing on to a public statement by scientists that read, “We believe that the most powerful AI models may soon pose severe risks, such as expanded access to biological weapons and cyberattacks on critical infrastructure.” This was part of an effort to encourage Governor Newsom of California to sign SB 1047 which the California Legislature passed to codify regulations that the industry had already pledged to pursue voluntarily. They failed, but more on that in a moment.

At the time of his resignation from Google, Hinton didn’t mix words. In an interview with the BBC, he described the generative AI as “quite scary…This is just a kind of worst-case scenario, kind of a nightmare scenario.”

Hinton has a knack for explaining complex mathematical and computer concepts in simple terms.