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Post-Truth: Organisational Social Responsibility in an AI-Driven Society

In: Platforms and Artificial Intelligence

Author

Listed:
  • Kiyoshi Murata

    (School of Commerce and Centre for Business Information Ethics, Meiji University)

Abstract

This study deals with the nature of a post-truth society, which is imminent, considering the widespread use of artificial intelligence (AI)-based information systems that use machine learning methods such as deep learning, as well as the social attitudes and responsibilities of organisations that develop, implement, operate and/or use those systems. In such a society, the truths about individuals, groups, organisations, communities, societies, nations, things, events and the world become meaningless or worthless; individuals are treated as black boxes to be manipulated and exploited by malicious AI-based system operators; and the four factors that erode accountability in computing—many hands, bugs, the computer as a scapegoat, and ownership without liability [Nissenbaum (Science and Engineering Ethics 2(1):25–42, 1996)]—worsen because of the unpredictability and uncontrollability of AI-based system behaviours, leading to a lack of responsibility and accountability in AI computing. To prevent the full emergence of a post-truth society or mitigate risks associated with such a society, and to restore responsibility and accountability to computing, organisations that are key players in AI computing must be required to proactively address ethical and social issues caused by the development and use of AI-based systems.

Suggested Citation

  • Kiyoshi Murata, 2022. "Post-Truth: Organisational Social Responsibility in an AI-Driven Society," Progress in IS, in: Ahmed Bounfour (ed.), Platforms and Artificial Intelligence, pages 269-281, Springer.
    • Handle: RePEc:spr:prochp:978-3-030-90192-9_13
    DOI: 10.1007/978-3-030-90192-9_13
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