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The following discussion explores the critical role of trust in AI, arguing that perception significantly influences trustworthiness in AI systems. It addresses key factors contributing to trust, such as explainability, reliability, accountability, and socio-technical perceptions. The chapter analyses how misaligned perceptions can lead to misplaced trust in AI systems, potentially resulting in ethical breaches. It offers guidelines for AI ethics advisors on fostering trustworthy AI through transparent practices and effective communication, underscoring the importance of aligning stakeholder perceptions with actual system reliability.

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AI Ethics Advisor’s Guide to Trust: Why Perception Matters

  • 章节

  • 发表日期：

    2025年

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  • Antonio Carnevale

摘要

The following discussion explores the critical role of trust in AI, arguing that perception significantly influences trustworthiness in AI systems. It addresses key factors contributing to trust, such as explainability, reliability, accountability, and socio-technical perceptions. The chapter analyses how misaligned perceptions can lead to misplaced trust in AI systems, potentially resulting in ethical breaches. It offers guidelines for AI ethics advisors on fostering trustworthy AI through transparent practices and effective communication, underscoring the importance of aligning stakeholder perceptions with actual system reliability.