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AI risk assessment using ethical dimensions

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Abstract

In the design, development, and use of artificial intelligence systems, it is important to ensure that they are safe and trustworthy. This requires a systematic approach to identifying, analyzing, evaluating, mitigating, and monitoring risks throughout the entire lifecycle of an AI system. While standardized risk management processes are being developed, organizations may struggle to implement AI risk management effectively and efficiently due to various implementation gaps. This paper discusses the main gaps in AI risks management and describes a tool that can be used to support organizations in AI risk assessment. The tool consists of a structured process for identifying, analyzing, and evaluating risks in the context of specific AI applications and environments. The tool accounts for the multidimensionality and context-sensitivity of AI risks. It provides a visualization and quantification of AI risks and can inform strategies to mitigate and minimize those risks.

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This manuscript does not involve any new data collection or analysis. The work presented is conceptual and based on previously published research and theoretical analysis. Therefore, there are no data sets generated or analyzed during the current study that can be shared or made publicly available.

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Authors and Affiliations

  1. University of Sassari, Sassari, Italy

    Alessio Tartaro & Enrico Panai

  2. Jagiellonian University, Kraków, Poland

    Mariangela Zoe Cocchiaro

Authors
  1. Alessio Tartaro
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  2. Enrico Panai
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  3. Mariangela Zoe Cocchiaro
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Correspondence to Alessio Tartaro.

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Tartaro, A., Panai, E. & Cocchiaro, M.Z. AI risk assessment using ethical dimensions. AI Ethics 4, 105–112 (2024). https://doi.org/10.1007/s43681-023-00401-6

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