Assessing the Risks of Open AI Models with Sayash Kapoor - #675
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Risk Analysis in Open AI Models
This chapter explores the intricate risk analysis framework related to open foundation models, prioritizing risk assessment over cost-benefit evaluations. It highlights the significance of transparency in AI development for enhancing cybersecurity and enabling robust safety research, while critiquing the centralization of AI model creation. The discussion emphasizes the necessity of legal protections for researchers, advocating for a balance between open and closed models to foster responsible investigations into AI vulnerabilities.
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