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AI and Ethics—Operationalizing Responsible AI

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Humanity Driven AI

Abstract

In the last few years, AI continues demonstrating its positive impact on society while sometimes with ethically questionable consequences. Building and maintaining public trust in AI has been identified as the key to successful and sustainable innovation. This chapter discusses the challenges related to operationalizing ethical AI principles and presents an integrated view that covers high-level ethical AI principles, general notion of trust/trustworthiness, and product/process support in the context of responsible AI, which helps improve both trust and trustworthiness of AI for a wider set of stakeholders.

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Notes

  1. 1.

    Law is usually considered to set the minimum standards of behavior while ethics sets the maximum standards so we will use the word "ethics" throughout the chapter.

  2. 2.

    https://www.industry.gov.au/data-and-publications/building-australias-artificial-intelligence-capability/ai-ethics-framework/ai-ethics-principles.

  3. 3.

    General Data Protection Regulation, https://gdpr-info.eu/.

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Authors and Affiliations

  1. CSIRO Data61, 13 Garden Street, Eveleigh, NSW, Australia

    Liming Zhu, Xiwei Xu, Qinghua Lu, Guido Governatori & Jon Whittle

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  1. Liming Zhu
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  2. Xiwei Xu
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  3. Qinghua Lu
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  4. Guido Governatori
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  5. Jon Whittle
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Correspondence to Liming Zhu .

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Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Fang Chen

  2. University of Technology Sydney, Sydney, NSW, Australia

    Jianlong Zhou

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Zhu, L., Xu, X., Lu, Q., Governatori, G., Whittle, J. (2022). AI and Ethics—Operationalizing Responsible AI. In: Chen, F., Zhou, J. (eds) Humanity Driven AI. Springer, Cham. https://doi.org/10.1007/978-3-030-72188-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-72188-6_2

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  • Online ISBN: 978-3-030-72188-6

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