Research Output
Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems
  Artificial Intelligence (AI) systems are being deployed around the globe in critical fields such as healthcare and education. In some cases, expert practitioners in these domains are being tasked with introducing or using such systems, but have little or no insight into what data these complex systems are based on, or how they are put together. In this paper, we consider an AI system from the domain practitioner’s perspective and identify key roles that are involved in system deployment. We consider the differing requirements and responsibilities of each role, and identify tensions between transparency and confidentiality that need to be addressed so that domain practitioners are able to intelligently assess whether a particular AI system is appropriate for use in their domain.

  • Date:

    24 September 2021

  • Publication Status:

    Published

  • Publisher

    ACM

  • DOI:

    10.1145/3460418.3479344

  • Cross Ref:

    10.1145/3460418.3479344

  • Funders:

    Edinburgh Napier Funded

Citation

Barclay, I., & Abramson, W. (2021). Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems. In UbiComp '21: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (264-271). https://doi.org/10.1145/3460418.3479344

Authors

Keywords

Assurance, Trust, Artificial Intelligence, Machine Learning, Ethics

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