LIDW26 session – Minds vs. machines: AI’s promise and limits in arbitration

The session adopts a hearing-style structure inspired by prior “Minds vs. machines” programs: counsel argue opposing positions before a tribunal, which issues a non-binding determination.

AI tools are increasingly used in arbitrator analytics, conflict checks, and predictive modelling. But should algorithmic systems influence or determine arbitrator selection?

This session frames the issue as a live dispute.

Proposition: AI-assisted selection enhances neutrality, diversity, and efficiency.

Opposition: algorithmic opacity threatens legitimacy, due process, and party autonomy.

Counsel will argue before a three-member tribunal. The tribunal will deliver a short reasoned “award” addressing:

• independence and impartiality;
• equality of arms;
• transparency and explainability;
• bias in training data; and
• challenge and enforcement implications.

The audience will vote before and after the award to measure persuasion shift.

Hosts

• Gatehouse Chambers
• JAMS ADR