Trust in the Era of AI

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As artificial intelligence becomes increasingly integrated into our daily lives and critical systems, the issue of trust in AI has emerged as a paramount concern.

Trust in AI is a multifaceted concept that goes beyond mere technical performance. It encompasses issues of transparency, fairness, reliability, and ethical considerations.

Join our TrustMatters Conversation on September 18 to explore this crucial topic.

Our discussion will focus primarily on the human factors that influence trust. Our goal is to gain an understanding of the trust landscape in AI and identify actionable insights that promote trust and responsible use of AI:

(1) What does trust mean in the context of AI?

(2) Challenges in AI trustworthiness, including issues of bias, explainability, and data privacy.

(3) Strategies for building trust when using AI, focusing on user education, control, and feedback mechanisms.

(4) The role of regulation and industry standards in fostering trust in AI.

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