The operation of justice is an essential responsibility of the State that relies on public confidence, making the automation of the judicial system challenging. This article examines the possibility of using AI to automate alternative dispute resolution (ADR) in commercial conflicts.
Key points include:
1. Definition of ADR: ADR encompasses negotiation, mediation, expert determination, and arbitration, all taking place outside conventional court systems.
2. Potential for Automated ADR (AADR): AI models might effectively forecast outcomes decided by neutral arbitrators, resulting in faster, less expensive, and possibly more equitable resolutions than traditional ADR.
3. Advantages of AADR:
– Greater access to justice for smaller enterprises and individuals.
– Minimized implicit bias and emotional influences on decisions, leading to more just outcomes.
– Reduced tension due to the non-personal nature of AI resolutions, which helps maintain business relationships.
4. Challenges of AADR:
– AI’s current reasoning and emotional intelligence shortcomings are vital for evaluating credibility and the intricacies of disputes.
– Ethical dilemmas concerning the moral implications of AI judgments and the trustworthiness of AI in making impartial decisions.
The “black box” critique of AI raises concerns about the transparency and clarity of the decision-making process.
These aspects underscore the intricacies and the need for thorough deliberation when considering the automation of dispute resolution through AI.
source: Artificial Lawyer
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