IDEAS home Printed from https://ideas.repec.org/a/bjz/ajisjr/2412.html
   My bibliography  Save this article

Social and Legal Risks of Artificial Intelligence: An Analytical Study

Author

Listed:
  • Khawlah M. Al-Tkhayneh
  • Hasan Awad Al-Tarawneh
  • Enas Abulibdeh
  • Moath Khalaf Alomery

Abstract

This study discusses the social and legal risks of artificial intelligence by referring to reliable primary and secondary sources in this field of study and analyzing the content of the collected data. Various data sources were consulted, including articles published in newspapers, international organizations’ websites, and refereed journals. The results of the study demonstrate that artificial intelligence may have negative effects if it is not used on solid ethical grounds as it may lead to taking discriminatory decisions in institutions and pose some risks in relation to users’ privacy, in addition to legal, criminal, and ethical challenges. More broadly, the study reveals that artificial intelligence is widening the gap between rich and poor countries. Therefore, institutions specialized in various fields need to specify the purpose of their efforts in the field of artificial intelligence, so they can overcome the obstacles that may face the progress of their work and the process of preserving human rights.

Suggested Citation

  • Khawlah M. Al-Tkhayneh & Hasan Awad Al-Tarawneh & Enas Abulibdeh & Moath Khalaf Alomery, 2023. "Social and Legal Risks of Artificial Intelligence: An Analytical Study," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 12, May.
  • Handle: RePEc:bjz:ajisjr:2412
    DOI: https://doi.org/10.36941/ajis-2023-0079
    as

    Download full text from publisher

    File URL: https://www.richtmann.org/journal/index.php/ajis/article/view/13320
    Download Restriction: no

    File URL: https://www.richtmann.org/journal/index.php/ajis/article/view/13320/12909
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.36941/ajis-2023-0079?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
    ---><---

    References listed on IDEAS

    as
    1. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
    Full references (including those not matched with items on IDEAS)

    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. Ciurea Iulia-Cristina, 2024. "The Impact of the EU AI Act on the UN Sustainable Development Goals for 2030 – A Text Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 2857-2870.
    2. Shrestha, Yash Raj & Krishna, Vaibhav & von Krogh, Georg, 2021. "Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges," Journal of Business Research, Elsevier, vol. 123(C), pages 588-603.
    3. Singh, Pratibha & Sharma, Mahak & Daim, Tugrul, 2024. "Envisaging AR travel revolution for visiting heritage sites: A mixed-method approach," Technology in Society, Elsevier, vol. 76(C).
    4. Prikshat, Verma & Islam, Mohammad & Patel, Parth & Malik, Ashish & Budhwar, Pawan & Gupta, Suraksha, 2023. "AI-Augmented HRM: Literature review and a proposed multilevel framework for future research," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    5. Waymond Rodgers & Tam Nguyen, 2022. "Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways," Journal of Business Ethics, Springer, vol. 178(4), pages 1043-1061, July.
    6. Junzhao Ma & Dewi Tojib & Yelena Tsarenko, 2022. "Sex Robots: Are We Ready for Them? An Exploration of the Psychological Mechanisms Underlying People’s Receptiveness of Sex Robots," Journal of Business Ethics, Springer, vol. 178(4), pages 1091-1107, July.
    7. Adamczyk, Willian Boschetti & Monasterio, Leonardo & Fochezatto, Adelar, 2021. "Automation in the future of public sector employment: the case of Brazilian Federal Government," Technology in Society, Elsevier, vol. 67(C).
    8. Abdul Karim Feroz & Hangjung Zo & Ananth Chiravuri, 2021. "Digital Transformation and Environmental Sustainability: A Review and Research Agenda," Sustainability, MDPI, vol. 13(3), pages 1-20, February.
    9. Bekir Eşitti & Tarık Yalçınkaya, 2020. "Evaluation Of The Perceptions Of Tourist Guide Candidates Shares About Foreign Language Learning In Social Media," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(48), pages 43-53, December.
    10. Zhang, Chao & Zhu, Weidong & Dai, Jun & Wu, Yong & Chen, Xulong, 2023. "Ethical impact of artificial intelligence in managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    11. Christian Meske & Enrico Bunde, 2023. "Design Principles for User Interfaces in AI-Based Decision Support Systems: The Case of Explainable Hate Speech Detection," Information Systems Frontiers, Springer, vol. 25(2), pages 743-773, April.
    12. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
    13. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    14. Miglena Stoyanova, 2022. "Impact Of Artificial Intelligence On Recruitment Process," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 184-191.
    15. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    16. Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    17. Berk Kaan Kuguoglu & Haiko van der Voort & Marijn Janssen, 2021. "The Giant Leap for Smart Cities: Scaling Up Smart City Artificial Intelligence of Things (AIoT) Initiatives," Sustainability, MDPI, vol. 13(21), pages 1-16, November.
    18. Michael Haenlein & Ming-Hui Huang & Andreas Kaplan, 2022. "Guest Editorial: Business Ethics in the Era of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 867-869, July.
    19. Turlough Guerin, 2022. "Questions that board directors should be asking about emerging governance issues and risk: a practitioner’s view and implications for the extractive industries," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(2), pages 221-237, June.
    20. Fosso Wamba, Samuel & Bawack, Ransome Epie & Guthrie, Cameron & Queiroz, Maciel M. & Carillo, Kevin Daniel André, 2021. "Are we preparing for a good AI society? A bibliometric review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 164(C).

    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:bjz:ajisjr:2412. 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: Richtmann Publishing Ltd (email available below). General contact details of provider: https://www.richtmann.org/journal/index.php/ajis .

    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.