AI And the Future of Arbitration: Legal and Ethical Challenges

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.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-03-28
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.40215
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI And the Future of Arbitration: Legal and Ethical Challenges

Aparna Jauhari, Kritika Goswami Ahuja
International Journal For Multidisciplinary Research
Law, AI, and Intellectual Property
article

AI And the Future of Arbitration: Legal and Ethical Challenges

Aparna Jauhari, Kritika Goswami Ahuja
article en

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.

International Journal For Multidisciplinary ResearchVol. 7(2)
Peace, Justice and strong institutions
Openalex Percentile: Top 97%
Law, AI, and Intellectual Property
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI And the Future of Arbitration: Legal and Ethical Challenges — Aparna Jauhari, Kritika Goswami Ahuja · International Journal For Multidisciplinary Research (2025) | TGRS Research Map | TGRS