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Social and juristic challenges of artificial intelligence

Author

Listed:
  • Matjaž Perc

    (University of Maribor
    Complexity Science Hub Vienna)

  • Mahmut Ozer

    (Ministry of National Education
    Istanbul Technical University)

  • Janja Hojnik

    (University of Maribor, Mladinska ulica 9)

Abstract

Artificial intelligence is becoming seamlessly integrated into our everyday lives, augmenting our knowledge and capabilities in driving, avoiding traffic, finding friends, choosing the perfect movie, and even cooking a healthier meal. It also has a significant impact on many aspects of society and industry, ranging from scientific discovery, healthcare and medical diagnostics to smart cities, transport and sustainability. Within this 21st century ‘man meets machine’ reality unfolding, several social and juristic challenges emerge for which we are poorly prepared. We here review social dilemmas where individual interests are at odds with the interests of others, and where artificial intelligence might have a particularly hard time making the right decision. An example thereof is the well-known social dilemma of autonomous vehicles. We also review juristic challenges, with a focus on torts that are at least partly or seemingly due to artificial intelligence, resulting in the claimant suffering a loss or harm. Here the challenge is to determine who is legally liable, and to what extent. We conclude with an outlook and with a short set of guidelines for constructively mitigating described challenges.

Suggested Citation

  • Matjaž Perc & Mahmut Ozer & Janja Hojnik, 2019. "Social and juristic challenges of artificial intelligence," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
    • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0278-x
    DOI: 10.1057/s41599-019-0278-x
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    References listed on IDEAS

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    Cited by:

    1. Mahmut Ozer & Matjaž Perc, 2020. "Dreams and realities of school tracking and vocational education," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-7, December.
    2. Huang, Jiechen & Wang, Juan & Xia, Chengyi, 2020. "Role of vaccine efficacy in the vaccination behavior under myopic update rule on complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    3. Mohamed Alawadhi & Jumah Almazrouie & Mohammed Kamil & Khalil Abdelrazek Khalil, 0. "Review and analysis of the importance of autonomous vehicles liability: a systematic literature review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-23.
    4. Junyoung Park & Do-Hyung Park, 2019. "A Sustainable Project Management Strategy against Multitasking Situations from the Viewpoints of Cognitive Mechanism and Motivational Belief," Sustainability, MDPI, vol. 11(24), pages 1-16, December.
    5. Jean-Philippe Aguilar & Jan Korbel & Yuri Luchko, 2019. "Applications of the Fractional Diffusion Equation to Option Pricing and Risk Calculations," Mathematics, MDPI, vol. 7(9), pages 1-23, September.
    6. Elias Fernández Domingos & Inês Terrucha & Rémi Suchon & Jelena Grujić & Juan Burguillo & Francisco Santos & Tom Lenaerts, 2022. "Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma," Post-Print hal-04296038, HAL.
    7. Mohamed Alawadhi & Jumah Almazrouie & Mohammed Kamil & Khalil Abdelrazek Khalil, 2020. "Review and analysis of the importance of autonomous vehicles liability: a systematic literature review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1227-1249, December.
    8. Xuli Tang & Xin Li & Feicheng Ma, 2022. "Internationalizing AI: evolution and impact of distance factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 181-205, January.
    9. Mahmut Ozer & Matjaz Perc & Hayri Eren Suna, 2024. "Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 69(69), pages 159-168, June.
    10. Song-Kyoo Kim & Chan Yeob Yeun, 2019. "A Versatile Queuing System For Sharing Economy Platform Operations," Mathematics, MDPI, vol. 7(11), pages 1-14, October.
    11. Emma Dahlin, 2021. "Mind the gap! On the future of AI research," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-4, December.
    12. Ehsan Nabavi & Chris Browne, 2023. "Leverage zones in Responsible AI: towards a systems thinking conceptualization," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    13. Han, Dun & Shao, Qi & Li, Dandan & Sun, Mei, 2020. "How the individuals’ risk aversion affect the epidemic spreading," Applied Mathematics and Computation, Elsevier, vol. 369(C).

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