Trust in AI-enabled arbitration is not achieved through a “set it and forget it” approach. It requires thoughtful governance, intentional design, and oversight to build reliability and confidence over time.
In Episode 4 of Arbitration Intelligence, “Guardrails and Oversight,” we examine the foundational design decisions behind the AI Arbitrator that prioritize privacy, transparency, and accountability. From the beginning, the platform was developed through close collaboration among legal, technology, and data teams to embed guardrails directly into its design. As a result, the system analyzes only the materials submitted in each case, operating within clearly defined boundaries rather than drawing from external or public sources.
The episode highlights the importance of AI explainability and reviewability. Workflows are structured so outputs can be clearly understood and evaluated by the AAA, arbitrators, and parties, providing confidence in how the AI functions within the process.
Additionally, you’ll hear how oversight extends well beyond initial design. The AI Arbitrator’s performance is evaluated to assess reliability, identify potential bias, and support its responsible expansion into additional industries and case types. This structured approach allows the system to evolve thoughtfully without introducing unintended risk.
“Guardrails and Oversight” underscores that responsible AI in the legal space depends on structured governance, ongoing evaluation, and collaboration, reinforcing the AAA’s commitment to responsible innovation while staying true to the principles that have guided AAA arbitration for over a century.
Arbitration Intelligence is a video series that takes viewers inside the thinking behind the AAA’s AI Arbitrator, from early design decisions to real-world use.