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Building a high-performing data ethics programme from the ground up

Author

Listed:
  • Ross, Alexandra

    (Senior Director, Autodesk, USA)

  • Golbin, Ilana

    (Director, PwC, USA)

  • Cohen, Bret S.

    (Partner, Hogan Lovells, USA)

Abstract

Companies are presented with increasingly complex legal, ethical and operational challenges when implementing algorithmic data processing to detect security threats or generate business insights. In this paper we will share leading practices on how to navigate the compliance landscape, build and maintain an ethics-by-design programme for data and technology, leverage existing frameworks and manage stakeholders. We will also introduce emerging technical concepts from the privacy and security domains and provide a perspective of how these technical concepts may be introduced into the governance process for organisations.

Suggested Citation

  • Ross, Alexandra & Golbin, Ilana & Cohen, Bret S., 2023. "Building a high-performing data ethics programme from the ground up," Cyber Security: A Peer-Reviewed Journal, Henry Stewart Publications, vol. 6(3), pages 198-210, March.
  • Handle: RePEc:aza:csj000:y:2023:v:6:i:3:p:198-210
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    More about this item

    Keywords

    governance; artificial intelligence; machine learning; data ethics; data protection;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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