Trustworthy AI – Conceptual Challenges and Applications

February 16th, 9:45–16:30. Room: Aula Alpha, ground floor of the Polimi building 24 (via Golgi 40).

This workshop is intended to investigate the multifaceted landscape of trustworthy AI, exploring its conceptual challenges and real-world applications. The focus is on fostering discussions regarding epistemological and ethical considerations, and the societal implications of AI systems.
Key questions to be addressed include: Is trustworthiness the most apt notion for framing our interaction with AI systems? What relations exist between trustworthy, reliable, and responsible AI? What practical and conceptual advantages arise from trustworthy AI systems? Furthermore, we will examine how trustworthy AI contributes to mitigating bias and managing risks in sensitive fields.

The workshop is supported by Politecnico di Milano, META, and the PRIN project BRIO – BIAS, RISK, OPACITY in AI.

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Richard Pettigrew (University of Bristol) “Accuracy, Epistemic Risk, and the Demands of Rationality”

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Politecnico di Milano