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Joelle Barral

05/09/25

@ Google DeepMind

To ensure that health research benefits the communities where data originates, accountability is crucial, preventing exploitation of data from one region for the benefit of another.

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AI and the Future of Health with Joelle Barral

@ Google DeepMind

AI and the Future of Health with Joelle Barral

05/09/25

Related Takeaways

Joelle Barral

05/09/25

@ Google DeepMind

Privacy concerns about health data vary globally; in Europe, there's a strong desire for data sovereignty, while in other regions, people are more willing to share data for research benefits.

Miles Brundage

04/25/18

@ Y Combinator

The AI community is actively addressing issues of fairness, accountability, and transparency, which are crucial for the responsible deployment of AI technologies.

Dwarkesh Patel Cast

04/04/25

@ Dwarkesh Patel

Transparency in AI development, including whistleblower protections and safety case publications, is essential for accountability.

Tom Bilyeu Cast

04/09/25

@ Tom Bilyeu

Every citizen should advocate for accountability in AI development, as decisions made by un-elected individuals can significantly impact our lives without proper oversight.

Daniel Nadler

03/04/25

@ Sequoia Capital

Accuracy and transparency are crucial in AI healthcare applications, allowing physicians to interrogate the sources of information provided by the AI.

Noam Chomsky

12/07/18

@ MIT Video Productions

To effectively track and understand global issues, collective efforts and community engagement are essential, as individuals alone cannot achieve significant insights.

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.

Dr. Eric Topol

05/27/25

@ a16z

We need to shift from a 'sick care' mindset to a preventive approach, utilizing compelling data to demonstrate the effectiveness of preventive measures.

Dr. Rumman Chowdhury

05/30/25

@ EO

Responsible AI ensures that models are designed to benefit humanity and provide accurate feedback across diverse communities.