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Tim Hwang

04/25/18

@ Y Combinator

The regulatory landscape for AI varies significantly across regions, with the U.S. taking a case-by-case approach while Europe tends to implement broader regulations for automated decision-making.

Video

A.I. Policy and Public Perception - Miles Brundage and Tim Hwang

@ Y Combinator

A.I. Policy and Public Perception - Miles Brundage and Tim Hwang

04/25/18

Related Takeaways

Tim Hwang

04/25/18

@ Y Combinator

In the U.S., the regulatory focus is often on high-risk areas like medical applications, whereas Europe has a more comprehensive framework for AI governance.

Marc Andreessen

12/15/24

@ Chris Williamson

In the US, the AI sector is poised for a boom, while the EU's regulatory approach may stifle innovation and hinder the growth of AI startups.

Marc Andreessen

07/18/23

@ Joe Lonsdale

The EU's regulatory approach seems to deliberately stifle technological advancement, which could leave Europe behind in the global AI race.

Jack Dorsey

04/25/20

@ Lex Fridman

The velocity and centralization of data and algorithms in AI pose challenges that require better regulatory answers.

Geoffrey Hinton

06/16/25

@ The Diary Of A CEO

The European regulations on AI are inadequate, particularly because they exempt military uses of AI, which poses significant risks.

Ray Kurzweil

06/03/25

@ The 92nd Street Y, New York

There is more regulation of AI than we realize, as companies face significant liability for harmful products.

Sam Altman

05/15/24

@ The Logan Bartlett Show

The perception of AI regulation often stems from a fear of stifling technological advancement, as seen in the European technology industry's struggles with regulation.

Peter H. Diamandis Cast

05/24/25

@ Peter H. Diamandis

Regulatory involvement from AI experts is crucial to ensure a functional future. If those concerned about AI don't engage in regulation, we risk a dystopian outcome.

Garry Tan

05/21/25

@ Vanta

If I were in charge of AI regulations, I would ensure that human oversight is required in decision-making processes to prevent a scenario where AI operates without accountability.