International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI And the Future of Arbitration: Legal and Ethical Challenges

Author(s) Aparna Jauhari, Kritika Goswami Ahuja
Country India
Abstract Integration of artificial intelligence (AI) into arbitration is transforming the scene of conflict resolution by improving efficiency, reducing costs, and enhancing decision-making processes. AI-powered solutions including predictive analytics, automated document review, and AI-assisted decision-making significantly help to simplify arbitration procedures. Adoption of artificial intelligence in arbitration, however, raises challenging ethical and legal issues that must be adequately addressed to provide responsibility, fairness, and transparency. Key questions include the opacity of artificial intelligence decision-making (black-box problem), possible biases in AI algorithms, the function of human arbitrators in AI-assisted dispute resolution, data privacy and security difficulties, and ethical obligations of AI developers and legal practitioners. Strong data security mechanisms, ethical guidelines compatible with basic norms of justice and due process, implementable explainable AI models, and bias-mitigating strategies serve to assure the integrity of AI-driven arbitration. As artificial intelligence grows, combining innovation with legal protections will help to define the future of arbitration in considerable part. This paper looks at the ethical and legal questions raised by artificial intelligence in arbitration and proposes remedies to ensure AI serves as a tool for enhancing rather than ruining the arbitration system.
Keywords Artificial Intelligence(AI), Arbitration, Legal Challenges, Ethical Challenges, AI in Dispute Resolution, AI Bias, Transparency, Explainability, Data Privacy, AI Regulation, Due Process, AI Accountability
Field Engineering
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-28
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.40215
Short DOI https://doi.org/g898f9
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