IDEAS home Printed from https://ideas.repec.org/p/zbw/itsb24/302483.html
   My bibliography  Save this paper

Hero or Villain: The Paradox of AI Algorithmic Disclosure in Utilitarian Versus Deontological Ethics

Author

Listed:
  • Kim, Woo Jin
  • Ryoo, Yuhosua
  • Kim, Eunjin Anna
  • Stafford, Marla

Abstract

Artificial intelligence (AI) already permeates various aspects of our daily lives, with applications ranging from recommendation systems and autonomous vehicles to personal home assistants and educational support systems (Kaur et al., 2020). These AI systems meet many of our personal needs while also affecting different areas of our social interactions. Additionally, AI technologies are highly effective in several key areas, enabling them to promote prosocial behaviors and enhance social welfare (Efthymiou & Hildebrand 2023). First, AI can be programmed to make decisions free from the biases that typically affect human judgment, promoting fairer and more equitable outcomes (Lin et al., 2021). Thus, AI can help allocate resources efficiently, maximizing impact without the influence of personal biases that might sway human donors or organizations (Landers & Behrend, 2023). Moreover, the constant availability and scalability of AI make it ideal for addressing large-scale social challenges such as managing disaster responses or optimizing resource distribution during crises (Sun et al., 2020). By integrating these capabilities, AI not only supports individual well-being but also bolsters collective welfare through the promotion of ethical and efficient solutions to complex social issues.

Suggested Citation

  • Kim, Woo Jin & Ryoo, Yuhosua & Kim, Eunjin Anna & Stafford, Marla, 2024. "Hero or Villain: The Paradox of AI Algorithmic Disclosure in Utilitarian Versus Deontological Ethics," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302483, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb24:302483
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/302483/1/ITS-Seoul-2024-paper-053.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    2. Gain Park & Myungok Chris Yim & Jiyun Chung & Seyoung Lee, 2023. "Effect of AI chatbot empathy and identity disclosure on willingness to donate: the mediation of humanness and social presence," Behaviour and Information Technology, Taylor & Francis Journals, vol. 42(12), pages 1998-2010, September.
    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. Borba, Rafael Lucas & de Paula Ferreira, Iuri Emmanuel & Bertucci Ramos, Paulo Henrique, 2024. "Addressing discriminatory bias in artificial intelligence systems operated by companies: An analysis of end-user perspectives," Technovation, Elsevier, vol. 138(C).
    2. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    3. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    4. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    5. Weidong Li & Yalin Qin & Changjie Chen & Meng Wang, 2025. "An investigation into personal data sensitivity in the Internet of Everything—insights from China," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    6. Park, Gain & Park, YounJung & Lee, Seyoung, 2024. "Compliance-gaining in metaverse: A moderated parallel mediation model testing the interaction between legitimization of paltry favors technique and victim identification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    7. Byung-Jik Kim & Julak Lee, 2024. "The mental health implications of artificial intelligence adoption: the crucial role of self-efficacy," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    8. Robertson, Jeandri & Botha, Elsamari & Oosthuizen, Kim & Montecchi, Matteo, 2025. "Managing change when integrating artificial intelligence (AI) into the retail value chain: The AI implementation compass," Journal of Business Research, Elsevier, vol. 189(C).
    9. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
    10. Johnny Chan & Gabrielle Peko & David Sundaram & Valeria Sadovykh, 2025. "Application and Adoption of Emerging Technologies: From AI to Metaverse," Information Systems Frontiers, Springer, vol. 27(2), pages 405-408, April.
    11. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    12. D'Al, Francesco & Santarelli, Enrico & Vivarelli, Marco, 2024. "The KSTE+I approach and the advent of AI technologies: evidence from the European regions," GLO Discussion Paper Series 1473, Global Labor Organization (GLO).
    13. Jun Cui, 2025. "AI-Driven Digital Transformation and Firm Performance in Chinese Industrial Enterprises: Mediating Role of Green Digital Innovation and Moderating Effects of Human-AI Collaboration," Papers 2505.11558, arXiv.org.
    14. Radka Nacheva & Maciej Czaplewski, 2024. "Artificial Intelligence In Helping People With Disabilities: Opportunities And Challenges," HR and Technologies, Creative Space Association, issue 1, pages 102-124.
    15. Fawwaz Tawfiq Awamleh & Ala Nihad Bustami, 2022. "Examine the Mediating Role of the Information Technology Capabilities on the Relationship Between Artificial Intelligence and Competitive Advantage During the COVID-19 Pandemic," SAGE Open, , vol. 12(3), pages 21582440221, August.
    16. Darko B. Vuković & Senanu Dekpo-Adza & Stefana Matović, 2025. "AI integration in financial services: a systematic review of trends and regulatory challenges," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-29, December.
    17. Xueyun Rong & Zhongkai Yang & Yutao Sun, 2024. "Inventors’ brokerages dynamic and exploratory innovation: the moderating role of knowledge diversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(5), pages 2533-2558, May.
    18. Zhou, Qiwei & Chen, Keyu & Cheng, Shuang, 2024. "Bringing employee learning to AI stress research: A moderated mediation model," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    19. Anshul Ujlayan & Sanjay Bhattacharya & Sonakshi, 2023. "A Machine Learning-Based AI Framework to Optimize the Recruitment Screening Process," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 38-53, December.
    20. Mustak, Mekhail & Salminen, Joni & Mäntymäki, Matti & Rahman, Arafat & Dwivedi, Yogesh K., 2023. "Deepfakes: Deceptions, mitigations, and opportunities," Journal of Business Research, Elsevier, vol. 154(C).

    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:zbw:itsb24:302483. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itsworld.org/ .

    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.