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Humanity is at a ‘turning point’ with AI, Geoffrey Hinton tells CBS News's 60 Minutes

University Professor Geoffrey Hinton speaks with 60 Minutes correspondent Scott Pelley about advanced artificial intelligence. (Image courtesy of 60 Minutes)

Geoffrey Hinton, often dubbed the “godfather of artificial intelligence,” explained the potential benefits — and risks — of the technology he helped bring into existence on CBS News’s 60 Minutes.

A University Professor Emeritus in U of T’s Department of Computer Science, Hinton told correspondent Scott Pelley about his decision earlier this year to sound the alarm about the existential threat posed by the rapid development of large language models such as ChatGPT and Google’s PaLM.

The cognitive psychologist and computer scientist, whose research contributions set the stage for the current acceleration of AI development, says he has no regrets because of the technology’s enormous potential benefits. But he warns that humanity is at a “turning point” in determining AI’s trajectory — and that the decisions we make today could have far-reaching consequences for the future.

“I think my main message is there's enormous uncertainty about what's (going to) happen next,” Hinton told the newsmagazine program. “These things do understand. And because they understand, we need to think hard about what's going to happen next. And we just don't know.”

Watch the 60 Minutes interview

U of T CS faculty and alumni among Time magazine’s TIME100 Most Influential People in AI

2023 TIME100 AI cover.

2023 TIME100 AI cover (Credit: TIME)

Time magazine has unveiled the inaugural TIME100 AI, a new list highlighting the 100 most influential people in artificial intelligence, and U of T Department of Computer Science faculty and alumni are among those recognized.  

The 2023 TIME100 AI issue is categorized by leaders, innovators, shapers and thinkers who are influencing today’s AI landscape, and features in-depth profiles and interviews.  

Alumnus Aidan Gomez (HBSc 2018) who is the CEO and co-founder of Cohere, a Toronto-based company that builds and provides language AI models to enterprises, is credited by the magazine for co-authoring “a research paper that would change the entire AI industry” that proposed a novel neural network technique called the transformer. The magazine notes that Gomez chose to focus on working with businesses “because he believed that it was the ‘best way to close the gap’ between AI models being explored in theory vs. being deployed out in the world.” 

Professor Raquel Urtasun, CEO and founder of autonomous driving startup Waabi, tells the magazine about the upsides to entering the space later as a “second mover.” Urtasun notes that it allowed the company to take advantage of recent advances in AI, such as the ability to train its driverless software “much faster and more cheaply than its competitors in part by driving virtual trucks inside a highly realistic AI-generated simulation.” 

Alumnus Ilya Sutskever (HBSc 2005, MSc 2007, PhD 2013), co-founder and chief scientist at OpenAI, is noted by the publication as “one of the industry’s most celebrated technical minds.” Before joining OpenAI as a founding member in 2015, Time notes he “was already famous for breakthroughs that turbocharged the fields of computer vision and machine translation.” 

University Professor Emeritus Geoffrey Hinton is recognized as “one of the most influential AI researchers of the past 50 years” playing an instrumental role in the development and popularization of neural networks. The magazine also details his recent decision to leave his post at Google to speak more freely about the risks of AI and “his regrets over helping bring that technology into existence.” 

Read more at Time: 

The complete 2023 TIME100 AI list 

How We Chose the TIME100 Most Influential People in AI 

Team including U of T computer scientists wins ISSS 2023 Scientific Achievement Award for work on CERN Large Hadron Collider safety system

Team including U of T computer scientists wins ISSS 2023 Scientific Achievement Award for work on CERN Large Hadron Collider safety system

Professor Marsha Chechik and PhD student Torin Viger are among a team of researchers recognized with the 2023 Scientific Achievement Award from the International System Safety Society. 

New podcast keeps CS students ‘In the Loop’ on making the most of their time at U of T

New podcast keeps CS students ‘In the Loop’ on making the most of their time at U of T

Teaching stream professors Mario Badr and Diane Horton have launched a new podcast about studying computer science at the University of Toronto and the opportunities available to students as they navigate their degree and career.

Computer Science PhD students win 2023 Qualcomm Innovation Fellowship with machine learning optimization project

Computer Science PhD students win 2023 Qualcomm Innovation Fellowship with machine learning optimization project

Yaoyao Ding and Bojian Zheng have been awarded a Qualcomm Innovation Fellowship for their proposal, “Dynamic Deep Neural Network Compilation.” 

CS researchers design ‘CLAIRify’ framework to improve chemistry robotics planning

CS researchers design ‘CLAIRify’ framework to improve chemistry robotics planning

Computer scientists, led by PhD students Marta Skreta and Naruki Yoshikawa, have developed a framework called CLAIRify that converts natural language inputs into a domain-specific language that chemistry robots can understand and follow. 

Two PhD alumni honoured with dissertation awards at ICAPS 2023

Two PhD alumni honoured with dissertation awards at ICAPS 2023

Recent PhD graduates Alberto Camacho and Rodrigo Toro Icarte were recognized for their doctoral theses at the 2023 International Conference on Automated Planning and Scheduling.  

Researchers find ‘unified foundation’ of word meaning in child language development and language evolution

Researchers find ‘unified foundation’ of word meaning in child language development and language evolution

New research, co-authored by Associate Professor Yang Xu, demonstrates that word meaning extension, observed in both children and the historical evolution of language, relies on a common cognitive foundation of knowledge and how things relate to each other.  

The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI

The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI

In The Godfather in Conversation, Geoffrey Hinton explains why, after a lifetime spent developing a type of artificial intelligence known as deep learning, he is suddenly warning about existential threats to humanity. 

Since discovering machine learning and AI in first year, CS grad Varun Lodaya, has never looked back

Since discovering machine learning and AI in first year, CS grad Varun Lodaya, has never looked back

Graduating student Varun Lodaya reflects on studying computer science at the University of Toronto and how he found his calling in machine learning and artificial intelligence in his first year.

Computer Science undergraduates in the class of 2023 reflect on their time at U of T

Computer Science undergraduates in the class of 2023 reflect on their time at U of T

Five graduating computer science undergrad students from the Class of 2023 reflect on their experience at U of T and what’s next for them.