Minds vs. Machines: AI’s Promise and Limits in Arbitration

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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

• Challenge and enforcement implications

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