Trustworthy AI Systems
Trustworthiness in AI spans multiple layers, from societal guidelines to technical specifications. Emphasizing the importance of ethical considerations, responsible practices, and transparent management, the discussion outlines how addressing these dimensions can lead to more reliable AI systems. By categorizing these aspects into five layers, a structured approach to developing trustworthy AI is proposed, paving the way for deeper exploration in future episodes.In this clip
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AI Today Podcast
AI Today Podcast: Trustworthy AI Series: The Layers of Trustworthy AI
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