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As AI becomes more integrated into our lives, how do we make sure it aligns with our values while minimizing risks?

In the second episode of What Now? AI, hosts Beth Coleman and Rahul Krishnan are joined by University of Toronto experts Gillian Hadfield and Roger Grosse as they tackle critical questions surrounding AI safety, regulation and alignment. 

Listen to episode two on , , , and . Watch . 

Grosse, an associate professor of computer science in the Faculty of Arts & Science and a founding member of the , joined the technical staff on the alignment team at Anthropic, an AI safety and research company based in San Francisco, during a sabbatical last year.

He calls working on AI research and systems while investigating safety a “difficult needle to thread.” 

“As you move up the ladder of different AI capabilities, new requirements start kicking in – in terms of keeping the models secure from bad actors and being able to make sure they won’t intentionally carry out harmful plans,” says Grosse, a faculty affiliate at the Schwartz Reisman Institute for Technology and Society.

Hadfield, a professor of law and strategic management in the Faculty of Law and the inaugural Schwartz Reisman Chair in Technology and Society, has . She thinks companies should disclose to governments what they’re building, the data being used and the AI model’s capabilities. 

“This is a unique moment in human history,” says Hadfield, who holds a CIFAR AI Chair at the Vector Institute for AI and served as a senior policy adviser to OpenAI from 2018 to 2023. “I think this is the first time that you have such a powerful technology that is being developed almost exclusively within private technology companies, so the public and the academic sector don’t have full visibility into how the technology is working.” 

About the hosts: 

Beth Coleman is an associate professor at ��������οMississauga’s  and the Faculty of Information. She is also a research lead on AI policy and praxis at the . Coleman authored  using art and generative AI. 

Rahul Krishnan is an assistant professor in U of T’s department of computer science in the Faculty of Arts & Science and department of laboratory medicine and pathobiology in the Temerty Faculty of Medicine. He is a Canada CIFAR Chair at the Vector Institute, a faculty affiliate at the Schwartz Reisman Institute for Technology and Society and a faculty member at the (T-CAIREM).