AI Governance at the AAA
Perspectives on Responsible AI
AI governance articles and analysis
Trust is the Product: Legalweek 2026 AI Governance Report
AI Governance That Holds: From Principles to Operating Infrastructure
Designing AI for Trust in Dispute Resolution
Exclusive Survey Findings and Related Analysis
AI governance research and insights
AI Governance: From Priniples to Practice
AI governance series
Putting AI Governance into Practice
An upcoming quarterly series designed to help corporate legal teams operationalize AI governance across the lifecycle — from policy to implementation, vendor oversight, and ongoing monitoring.
Setting Standards for Responsible AI
AI governance framework
Ethical & Human-Centered Values
Fair & Ethical AI Design: Design AI systems that align with the AAA’s ethical standards, support fair and unbiased outcomes that respect the rights of all participants, and safeguard equity in dispute resolution.
Human Centered: Design AI systems with human oversight that are imbued with the AAA’s values, mitigate bias, and preserve control over critical decisions.
Private & Secure
Privacy Enhanced & Data Governed: Manage data responsibly with strict attention to privacy while adhering to data governance standards.
Secure & Resilient: Foster trust in the dispute resolution process by protecting the AAA’s data confidentiality, integrity, and system reliability while defending against external threats and ensuring operational resilience.
Accurate & Reliable
Accurate & Built with Purpose: AI applications should provide reliable outputs, maintain consistency under varied conditions, and communicate any limitations or the need for human oversight at key points in our processes.
High Performing: AI applications should adhere to industry standards for uptime and response time to human inputs.
Explainable & Transparent
Explainable AI: The AAA’s AI systems should allow staff and participants in our process to understand and trust their outputs.
Transparent AI Systems: Clearly communicate the choices we make in developing AI applications to enhance the delivery of services.
Accountability
Accountable AI Management: Establish human ownership over AI across the AAA’s processes.
Vetted & Reliable AI Partnerships: Carefully select and continuously assess third-party vendors to ensure reliable performance and alignment with the AAA’s values.
Adaptable
Proactive AI Monitoring: Establish and apply standards for monitoring and evaluating AI systems in line with these principles.
Continuous AI Learning & Improvement: Commit to staff training, research, and feedback loops that maintain our industry-leading culture of innovation and AI literacy.
AI You Can Trust
AI guidance for arbitrators
AAA-ICDR Guidance on Arbitrators' Use of AI Tools
Get best practices for arbitrators leveraging AI tools while preserving fairness, transparency, and independent decision making.