Rethinking Human Autonomy and AI Development

The field of AI research is shifting towards a more nuanced understanding of the relationship between human autonomy and artificial intelligence. Recent developments highlight the importance of preserving essential human capabilities, such as empathy, presence, opinion, creativity, and hope, in the face of increasing AI integration. The slow and irrevocable decline of human autonomy is a growing concern, as AI starts to outcompete humans in various areas of life, potentially leading to a process of gradual de-skilling. Noteworthy papers include: When Autonomy Breaks: The Hidden Existential Risk of AI, which argues that the biggest threat to humanity is not that machines will become more like humans, but that humans will become more like machines. Reinsuring AI: Energy, Agriculture, Finance & Medicine as Precedents for Scalable Governance of Frontier Artificial Intelligence, which proposes a novel framework for governing high-stakes AI models through a three-tiered insurance architecture.

Sources

The Limits of AI in Financial Services

When Autonomy Breaks: The Hidden Existential Risk of AI

Navigating Uncertainties: Understanding How GenAI Developers Document Their Models on Open-Source Platforms

What the F*ck Is Artificial General Intelligence?

Role and Use of Race in AI/ML Models Related to Health

Reinsuring AI: Energy, Agriculture, Finance & Medicine as Precedents for Scalable Governance of Frontier Artificial Intelligence

A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models

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