Ethical Dimensions and Liability Frameworks of AI in Healthcare

  • Unique Paper ID: 198036
  • Volume: 12
  • Issue: 11
  • PageNo: 10453-10455
  • Abstract:
  • Artificial Intelligence (AI) is fundamentally reshaping the medical landscape by enhancing the precision of diagnostics, tailoring personalized therapeutic interventions, and optimizing clinical workflows. Despite these advancements, the integration of AI introduces complex ethical, legal, and social dilemmas. This research critically evaluates concerns surrounding data confidentiality, algorithmic prejudices, system transparency, and the necessity of human-in-the-loop oversight. By examining existing regulatory frameworks and contemporary case studies, this paper emphasizes the urgent need for sophisticated governance and accountability models. Specific attention is directed toward the "liability gap," where responsibility for AI-driven outcomes is distributed across diverse stakeholders. The study concludes that the sustainable deployment of AI in medicine depends on interdisciplinary cooperation, stringent policy development, and iterative monitoring to ensure equitable patient outcomes.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{198036,
        author = {Mr. Sagar Atugade and Dr. Dheeraj Singh},
        title = {Ethical Dimensions and Liability Frameworks of AI in Healthcare},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {10453-10455},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198036},
        abstract = {Artificial Intelligence (AI) is fundamentally reshaping the medical landscape by enhancing the precision of diagnostics, tailoring personalized therapeutic interventions, and optimizing clinical workflows. Despite these advancements, the integration of AI introduces complex ethical, legal, and social dilemmas. This research critically evaluates concerns surrounding data confidentiality, algorithmic prejudices, system transparency, and the necessity of human-in-the-loop oversight. By examining existing regulatory frameworks and contemporary case studies, this paper emphasizes the urgent need for sophisticated governance and accountability models. Specific attention is directed toward the "liability gap," where responsibility for AI-driven outcomes is distributed across diverse stakeholders. The study concludes that the sustainable deployment of AI in medicine depends on interdisciplinary cooperation, stringent policy development, and iterative monitoring to ensure equitable patient outcomes.},
        keywords = {},
        month = {April},
        }

Cite This Article

Atugade, M. S., & Singh, D. D. (2026). Ethical Dimensions and Liability Frameworks of AI in Healthcare. International Journal of Innovative Research in Technology (IJIRT), 12(11), 10453–10455.

Related Articles