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SA

Sam Altman

08/02/19

@ Khosla Ventures

Safety in AI encompasses preventing accidental misuse, intentional misuse, and ensuring that policies align with global preferences and values.

Video

KV

Keynote Discussion | Sam Altman and Vinod Khosla

@ Khosla Ventures

Keynote Discussion | Sam Altman and Vinod Khosla

08/02/19

Related Takeaways

EP

Ethan Perez

03/18/25

@ Anthropic

Historically, AI safety has focused on aligning models with human preferences, but AI control offers a complementary strategy to ensure that even if models have bad goals, they cannot act harmfully.

DH

Demis Hassabis

05/26/25

@ Hard Fork

As AI technologies evolve, it's essential to establish international norms and benchmarks for their use, ensuring they are safe and beneficial globally.

SA

Sam Altman

06/28/24

@ PowerfulJRE

There's a lot of work to do to ensure AI safety, which encompasses not just avoiding offensive statements but also preventing catastrophic outcomes for humanity.

MM

Mira Murati

09/25/23

@ a16z

AI safety has transitioned from a theoretical concept to practical applications, integrating safety measures into AI systems to ensure they follow user intent effectively.

A

Anthropic Cast

02/28/25

@ Anthropic

We are committed to actually trying to solve the real problems associated with AI safety, including misuse and misalignment risks.

PH

Peter H. Diamandis Cast

06/04/25

@ Peter H. Diamandis

Level three AI safety measures are necessary to prevent AI from being trained to perform harmful tasks, ensuring it cannot assist in creating dangerous weapons.

PH

Peter H. Diamandis Cast

06/04/25

@ Peter H. Diamandis

The development of AI safety measures is crucial as powerful AI could pose risks related to chemical, biological, and nuclear weapons.

DH

Demis Hassabis

04/25/25

@ Queens' College Cambridge

However, AI is a dual-purpose technology that can also be misused by bad actors, creating challenges in ensuring that beneficial applications are accessible while restricting harmful uses.

MB

Miles Brundage

04/25/18

@ Y Combinator

Value alignment is a key concept in AI safety, addressing how to ensure AI systems reflect human values and preferences, especially in terms of fairness and bias.