cloud2030
Can we regulate LLMs? Should we?
Aug 26, 2023
John Willis, panelist on the episode, shares a bonus story about APIs and Jeff Bezos. The podcast explores the challenges of regulating large language models (LLMs) and discusses the EU's AI Act, UK's adoption of EU regulations, and the National Association of Insurance Careers' realistic approach to LLM regulation. They also discuss consent, ownership, and the legality of using scraped data. The importance of data provenance, metadata management, and similarity search in traditional databases is highlighted. They delve into transforming artifacts into monetary value and invite the listener to join future discussions on regulating LLMs.
51:42
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Quick takeaways
- Regulating large language models (LLMs) requires addressing the challenges of controlling and regulating information within these models.
- The EU's AI Act emphasizes rights-oriented regulation and the need to protect the rights of citizens and companies, while also considering the impact of AI systems on factors like children and biometric data.
Deep dives
Regulating Large Language Models
In this episode, the challenges of regulating large language models (LLMs) are explored. The discussion delves into the mechanics of controlling and regulating information within these models, and the challenges faced by governments and companies in their approach to regulation. The episode also touches on the need for clarity and addressing lack of clarity in EU regulations, particularly in relation to risk models in the financial and insurance sectors. Additionally, the podcast highlights the need for accountability, compliance, and documentation in LLMs, drawing attention to the approach taken by the UK banking sector and the National Association of Insurance Commissioners.
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