AI and Alternative Dispute Resolution (ADR): History and Innovations
Type de ressource
Auteurs/contributeurs
- Gul, Seema (Auteur)
- khan, Muhammad sulaim Ajmal (Auteur)
- shah, Sayyed mobassir (Auteur)
- Javed, Aleena (Auteur)
Titre
AI and Alternative Dispute Resolution (ADR): History and Innovations
Résumé
Artificial Intelligence (AI) is transforming many professional spheres, and Alternative Dispute Resolution (ADR) is not an exemption. The paper will provide the definition of ADR origin and scope and then explain the fundamental ideas of AI and its history. Next, we proceed to analyze the application of AI tools to help ADR practitioners with mediation, arbitration, case management, and predict outcomes. Through the examination of the most recent literature, industry publications, and technology review, we show how AI can be employed to facilitate the process of document analysis, suggest negotiation tactics, conduct administrative work, and estimate the result of a case. We also examine ethical and practical issues like prejudice and transparency and give some suggestions regarding the establishment of AI as a responsible resolution of disputes. The paper concludes that AI can enhance the efficiency, accessibility, and strategic insights of the process of ADR, yet it should be under close supervision of the human judgment and ethical principles to make the process fair and trustworthy.
Publication
ACADEMIA International Journal for Social Sciences
Date
2025-09-30
Volume
4
Numéro
3
Pages
6273-6280
ISSN
3006-6638
Titre abrégé
AI and Alternative Dispute Resolution (ADR)
Langue
EN
Référence
Gul, S., khan, M. sulaim A., shah, S. mobassir, & Javed, A. (2025). AI and Alternative Dispute Resolution (ADR): History and Innovations. ACADEMIA International Journal for Social Sciences, 4(3), 6273–6280. https://doi.org/10.63056/ACAD.004.03.1357
Thématiques
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