Trustworthy AI Framework
Elham discusses the importance of context in assessing AI risks, emphasizing that the same technology can have different implications depending on its application. She outlines a structured approach to building trust in AI systems, which includes identifying key characteristics of trustworthiness and developing methods for measuring and managing risks effectively. The conversation highlights the necessity of understanding the environment and community impacted by AI technologies to ensure responsible implementation.In this clip
From this podcast

Practical AI
The path towards trustworthy AI
Related Questions