Muthukrishnan, Muthusubramanian and Suhas, Jangoan and Kapil Kumar, Sharma and Gowrisankar, Krishnamoorthy (2024) Demystifying Explainable AI: Understanding, Transparency and Trust. International Journal for Multidisciplinary Research, 6 (2). pp. 1-13. ISSN 2582-2160
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Abstract
Artificial intelligence (AI) has emerged as a transformative technology with vast potential to revolutionize industries and societies. However, the responsible development, deployment, and governance of AI technologies require addressing complex ethical, regulatory, and societal challenges. This research paper aims to demystify Explainable AI (XAI) and explore its implications for understanding, transparency, and trust in AI systems. Through a comprehensive review of the literature, we examine key concepts, methodologies, and applications of XAI, as well as ethical considerations, regulatory frameworks, international cooperation, and societal impacts of AI. The paper highlights the importance of transparency, fairness, and accountability in AI governance and emphasizes the need for interdisciplinary collaboration and stakeholder engagement to ensure the responsible and ethical development of AI technologies. By fostering a deeper understanding of XAI and its implications, this paper contributes to the ongoing dialogue on the ethical and responsible use of AI in society.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Artificial Intelligence, Explainable AI, XAI, Transparency, Trust, Ethical Considerations, Regulatory Frameworks, International Cooperation, Societal Impact, Responsible AI Governance |
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Mr. Rahul Ranjan |
| Date Deposited: | 19 Sep 2024 14:24 |
| Last Modified: | 19 Sep 2024 14:24 |
| URI: | https://tudr.org/id/eprint/3258 |
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