IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v5y2019i1d10.1057_s41599-019-0278-x.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-019-0278-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-019-0278-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. repec:nas:journl:v:115:y:2018:p:30-35 is not listed on IDEAS
    2. Lynskey, Orla, 2014. "Deconstructing data protection: the 'Added-value' of a right to data protection in the EU legal order," LSE Research Online Documents on Economics 57713, London School of Economics and Political Science, LSE Library.
    3. Opresnik, David & Taisch, Marco, 2015. "The value of Big Data in servitization," International Journal of Production Economics, Elsevier, vol. 165(C), pages 174-184.
    4. Erkaymaz, Okan & Ozer, Mahmut, 2016. "Impact of small-world network topology on the conventional artificial neural network for the diagnosis of diabetes," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 178-185.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Caroline Jennings Saul & Heiko Gebauer, 2018. "Digital Transformation as an Enabler for Advanced Services in the Sanitation Sector," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    2. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
    3. Ray Qing Cao & Dara G. Schniederjans & Vicky Ching Gu, 2021. "Stakeholder sentiment in service supply chains: big data meets agenda-setting theory," Service Business, Springer;Pan-Pacific Business Association, vol. 15(1), pages 151-175, March.
    4. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    5. Peter Qvist-Sørensen, 2020. "Applying IIoT and AI - Opportunities, Requirements and Challenges for Industrial Machine and Equipment Manufacturers to Expand Their Services," Central European Business Review, Prague University of Economics and Business, vol. 2020(2), pages 46-77.
    6. Hongjun Cao & Yuxin Fang & Jihui Sun, 2022. "A Study on the Impact of Institutional Support on the Servitization Transformation Performance of Manufacturing Firms—Based on a Dual Mediation Model of Business Model Innovation and Technological Inn," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    7. Bustinza, Oscar F. & Opazo-Basaez, Marco & Tarba, Shlomo, 2022. "Exploring the interplay between Smart Manufacturing and KIBS firms in configuring product-service innovation performance," Technovation, Elsevier, vol. 118(C).
    8. Zhan, Yuanzhu & Tan, Kim Hua, 2020. "An analytic infrastructure for harvesting big data to enhance supply chain performance," European Journal of Operational Research, Elsevier, vol. 281(3), pages 559-574.
    9. Cenamor, J. & Rönnberg Sjödin, D. & Parida, V., 2017. "Adopting a platform approach in servitization: Leveraging the value of digitalization," International Journal of Production Economics, Elsevier, vol. 192(C), pages 54-65.
    10. Wang, Hui & Gong, Qiguo & Wang, Shouyang, 2017. "Information processing structures and decision making delays in MRP and JIT," International Journal of Production Economics, Elsevier, vol. 188(C), pages 41-49.
    11. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    12. Sebastian Saniuk & Sandra Grabowska, 2021. "The Concept of Cyber-Physical Networks of Small and Medium Enterprises under Personalized Manufacturing," Energies, MDPI, vol. 14(17), pages 1-17, August.
    13. Chankook Park, 2022. "Expansion of servitization in the energy sector and its implications," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(4), July.
    14. Elisabetta Raguseo & Claudio Vitari, 2017. "Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects," Grenoble Ecole de Management (Post-Print) halshs-01923259, HAL.
    15. Yong Chen & Zhengjie Wu & Wenchao Yi & Bingjia Wang & Jianhua Yao & Zhi Pei & Jiaoliao Chen, 2022. "Bibliometric Method for Manufacturing Servitization: A Review and Future Research Directions," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    16. Li, Huashan & Pournader, Mehrdokht & Fahimnia, Behnam, 2022. "Servitization and organizational resilience of manufacturing firms: Evidence from the COVID-19 outbreak," International Journal of Production Economics, Elsevier, vol. 250(C).
    17. Lafuente, Esteban & Vaillant, Yancy & Vendrell-Herrero, Ferran, 2017. "Territorial servitization: Exploring the virtuous circle connecting knowledge-intensive services and new manufacturing businesses," International Journal of Production Economics, Elsevier, vol. 192(C), pages 19-28.
    18. Yaping Zhao & Zelong Yi, 2021. "Pricing of a Three-Stage Supply Chain with a Big Data Company," SN Operations Research Forum, Springer, vol. 2(4), pages 1-19, December.
    19. Johansson, A. Elisabeth & Raddats, Chris & Witell, Lars, 2019. "The role of customer knowledge development for incremental and radical service innovation in servitized manufacturers," Journal of Business Research, Elsevier, vol. 98(C), pages 328-338.
    20. Xing, Yijun & Liu, Yipeng & Tarba, Shlomo & Cooper, Sir Cary L., 2017. "Servitization in mergers and acquisitions: Manufacturing firms venturing from emerging markets into advanced economies," International Journal of Production Economics, Elsevier, vol. 192(C), pages 9-18.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0278-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.