Data Privacy in AI
A holistic approach to data management is essential, especially in government, where privacy assessments should be viewed as tools for success rather than obstacles. Emphasizing the importance of using minimal data and establishing a well-defined risk model at the program's outset can lead to exponential results. The conversation also highlights the critical need for transparency and trustworthiness in AI, with ongoing efforts to create a comprehensive transparency assessment for AI models.In this clip
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AI Today Podcast
AI Today Podcast: AI Center of Excellence in the US Federal Government – Interview with Neil Chaudhry, GSA
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