Exploring Ethical Implications of Ai in Modern Society
DOI:
https://doi.org/10.32628/IJSRSET24116173Keywords:
artificial intelligence (AI), healthcare diagnostics, financial algorithm, AI development, decision-making, transparency, accountabilityAbstract
This study aims to analyze the ethical and societal implications of artificial intelligence (AI) across various dimensions and emphasize the importance of responsible AI development and deployment. There is a possibility that artificial intelligence will have positive effects, such as increased productivity and reduced human bias; however, there are also potential negative effects associated with it. In addition to this, it explores how legal practitioners might learn to maximise the use of AI tools while maintaining their authoritative decision-making positions without having to give up their positions. The study is grounded in the framework of responsible AI development and deployment, which seeks to minimize risks and optimize benefits for society. The research identifies significant ethical and societal implications of AI, highlighting the importance of addressing privacy, bias, transparency, and accountability concerns. The research employs critical analysis and examines case studies to assess ethical considerations in AI development, societal impacts in employment, healthcare, education, and social equality, and concerns regarding privacy, bias, transparency, and accountability. It also stresses the need for responsible AI development and deployment in mitigating risks and maximizing benefits across various sectors.
Downloads
References
Paul Formosa (2023), "The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work", Journal of Business Ethics, issn: 1573-0697, vol. 185, pages. 725-740.https://doi.org/10.1007/s10551-023-05339-7 DOI: https://doi.org/10.1007/s10551-023-05339-7
Jerold J. Abrams (2004), "Pragmatism, Artificial Intelligence, and Posthuman Bioethics: Shusterman, Rorty, Foucault", Human Studies, issn no: 1572-851X, vol. 27, pages. 241-258.https://doi.org/10.1023/B:HUMA.0000042130.79208. c6 DOI: https://doi.org/10.1023/B:HUMA.0000042130.79208.c6
Daron Acemoglu (2019), "The wrong kind of AI? Artificial intelligence and the future of labour demand", Cambridge Journal of Regions, Economy and Society, issn: 1752-1386, vol. 13, issue. 1, pages. 25-35.https://doi.org/10. 1093/cjres/rsz022 DOI: https://doi.org/10.1093/cjres/rsz022
Sarah Bankins (2021), "The ethical use of artificial intelligence in human resource management: a decision-making framework", Ethics and Information Technology, issn: 1572-8439, vol. 23, pages. 841-854.https://doi.org/10.1007/ s10676-021-09619-6 DOI: https://doi.org/10.1007/s10676-021-09619-6
Evgeni Aizenberg (2020), "Designing for human rights in AI", Big Data & Society, issn: 2053-9517, vol.7(2). https://doi.org/10.1177/2053951720949566 DOI: https://doi.org/10.1177/2053951720949566
Citron DK, Pasquale FA (2014), "The scored society: Due process for automated predictions", Washington Law Review, vol.89, pages.1–33.
Anna Jobin (2019), "The global landscape of AI ethics guidelines", Nature Machine Intelligence, issn: 2522-5839, vol. 1, pages. 389-399.https://doi.org/1 0.1038/s42256-019-0088-2 DOI: https://doi.org/10.1038/s42256-019-0088-2
Harari, Y. N. (2017), "Reboot for the AI revolution", Nature, vol.550, pages. 324–327. DOI: https://doi.org/10.1038/550324a
Jordan, M. I. (2015), "Machine learning: trends", perspectives, and prospects, Science, vol. 349, pages.255–260. DOI: https://doi.org/10.1126/science.aaa8415
Stead, W. W. (2018), "Clinical implications and challenges of artificial intelligence and deep learning", JAMA, vol.320, pages. 1107–1108. DOI: https://doi.org/10.1001/jama.2018.11029
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
