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Importance and limitations of AI ethics in contemporary society

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  • Tomas Hauer

    (Trnava University in Trnava)

Abstract

Research into autonomous intelligent systems and AI platforms evolving over time through self-learning from data currently raises a number of thorny ethical and legal issues. Advances in robotics, artificial intelligence, and machine learning enable AI platforms to autonomously perform activities that have been strictly the domain of humans for centuries, such as writing a book, driving fast cars, or diagnosing serious diseases. The study describes current trends in the approach to ethical problems associated with AI, identifies specific ethical issues through examples, and analyses possible recommendations. The text emphasizes the ethical dimension of the development and implementation of new innovations in robotics and artificial intelligence and their impact on today’s society.

Suggested Citation

  • Tomas Hauer, 2022. "Importance and limitations of AI ethics in contemporary society," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01300-7
    DOI: 10.1057/s41599-022-01300-7
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    Cited by:

    1. Sofía Blanco-Moreno & Ana M. González-Fernández & Pablo Antonio Muñoz-Gallego & Roman Egger, 2024. "What do you do or with whom? Understanding happiness with the tourism experience: an AI approach applied to Instagram," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    2. Ksenia V. Ekimova, 2023. "Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    3. Athanasios Polyportis & Nikolaos Pahos, 2024. "Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    4. Jin Liu & Kaizhe Chen & Wenjing Lyu, 2024. "Embracing artificial intelligence in the labour market: the case of statistics," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    5. Naudé, Wim, 2023. "Artificial Intelligence and the Economics of Decision-Making," IZA Discussion Papers 16000, Institute of Labor Economics (IZA).

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