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Earning citizen confidence through a comprehensive approach to responsible and trustworthy AI stewardship and governance

Author

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  • Isom, Pamela

    (U.S. Department of Energy, USA)

Abstract

Confidence in artificial intelligence (AI) is necessary, given its growing integration in every aspect of life and livelihood. Citizens are sharing both good and unpleasant experiences that have fuelled opinions of AI as an emerging, advantageous capability while also expressing an abundance of concerns that we must address. Clean energy scientific discoveries, the supply of autonomous vehicles that perform with zero carbon emissions, the rapid discovery of chemicals and/or anomalies that generate medicinal value, or the integration of AI in human resource processes for accelerated efficiencies are examples of AI use cases that can save lives and do so at the speed of urgency. The concerns and challenges are to ensure that models, algorithms, data and humans — the whole AI — are secure, responsible and ethical. In addition, there must be accountability for safety and civil equity and inclusion across the entire AI life cycle. With these factors in action, risks are managed and AI is trustworthy. This paper considers existing policy directives that are relevant for managing risks across the AI life cycle and provides further perspectives and practices to advance implementation.

Suggested Citation

  • Isom, Pamela, 2022. "Earning citizen confidence through a comprehensive approach to responsible and trustworthy AI stewardship and governance," Journal of AI, Robotics & Workplace Automation, Henry Stewart Publications, vol. 1(3), pages 278-284, March.
    • Handle: RePEc:aza:airwa0:y:2022:v:1:i:3:p:278-284
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    Citations

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    Cited by:

    1. Esmat Zaidan & Imad Antoine Ibrahim, 2024. "AI Governance in a Complex and Rapidly Changing Regulatory Landscape: A Global Perspective," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.

    More about this item

    Keywords

    confidence; responsible AI; AI ethics; explainable; trustworthy AI; AI life cycle; governance; stewardship; AI risk management; AI assurance; AI-IV&V;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • G2 - Financial Economics - - Financial Institutions and Services

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