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Discussions on the risks involved in the deployment of AI systems are increasingly prominent in both public discourse and scientific debates. While talk of risk plays a crucial role in framing ethical and societal problems related to AI, we argue that it could profitably be associated with a clear analysis of uncertainty. Starting from a multi-component approach to AI-related risk assessment and mitigation, this chapter discusses the way the deployment of AI systems often takes place in contexts in which uncertainty is not meaningfully quantifiable.

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AI-Related Risk and Uncertainty

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Giacomo Zanotti,
  • Daniele Chiffi,
  • Viola Schiaffonati

摘要

Discussions on the risks involved in the deployment of AI systems are increasingly prominent in both public discourse and scientific debates. While talk of risk plays a crucial role in framing ethical and societal problems related to AI, we argue that it could profitably be associated with a clear analysis of uncertainty. Starting from a multi-component approach to AI-related risk assessment and mitigation, this chapter discusses the way the deployment of AI systems often takes place in contexts in which uncertainty is not meaningfully quantifiable.