Assessing the Risks of Open AI Models with Sayash Kapoor - #675
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Assessing Marginal Risks in Open Foundation Models
This chapter explores the marginal risks linked to open foundation models, drawing comparisons to closed technologies. It presents a six-step framework for assessing these risks, highlighting the importance of understanding threats and defining uncertainties in the context of model regulation.
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