Trustworthy AI Systems
Elham discusses the intricate relationship between data, algorithms, and human interaction in building trust in AI systems. The AI Risk Management Framework (AI RMF) emphasizes the importance of diverse perspectives in defining trustworthy AI, identifying key characteristics such as accountability, transparency, and resilience. Through community engagement, a shared understanding of these traits and their interrelations is established, highlighting the complexities of balancing safety, privacy, and interoperability.In this clip
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Practical AI
The path towards trustworthy AI
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