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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.

Video

YC

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

ES

Emmett Shear

06/16/25

@ a16z speedrun

I believe alignment in AI is key to building safe and capable systems, and it should be viewed as a mutual relationship rather than a tool to control.

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.

DP

Dwarkesh Patel Cast

04/04/25

@ Dwarkesh Patel

As AI becomes more capable, we need to ensure that it aligns with human values and interests.

A

Anthropic Cast

04/28/25

@ Anthropic

The challenge is ensuring that AI operates in the best interests of humanity, as it learns value judgments from people, but we must consider whose values are being represented.

DP

Dwarkesh Patel Cast

04/04/25

@ Dwarkesh Patel

Transparency during the development of AI is crucial to prevent concentration of power and ensure alignment with human values.

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.

MA

Marc Andreessen

07/18/23

@ Joe Lonsdale

The shift in AI discourse from existential risk to alignment reflects a change in focus from potential dangers to ethical considerations, which can lead to a misunderstanding of AI's capabilities.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

The challenge of aligning AI models with human values is complex, as models can develop their own interpretations of objectives based on the training they receive.

EP

Ethan Perez

03/18/25

@ Anthropic

AI control is an approach to mitigating AI misalignment, addressing the risk that AI models may have goals that differ from human goals.