We advance public-sector ADR programs that reduce legal bottlenecks and improve access to justice for all.
Our work supports tech-driven, scalable solutions for the billions of people underserved by traditional legal systems.
We take a data-driven approach to promoting fairness, transparency, and trust in ADR.
Through the AAAiLab™, we share insights on how the AAA-ICDR is revolutionizing ADR with AI.
In partnership with the Lancaster County Court of Common Pleas and the National Center for State Courts, the AAA developed a case management platform with AI features to streamline a credit card debt case diversion program. Built to ease administration for court staff, this tool enhances efficiency, speeds up case resolution, and improves access to justice.
In collaboration with Suffolk Law School, we’re piloting online dispute resolution (ODR) tools for low-conflict divorce cases, aiming to ease court workloads and improve the experience of families navigating separation.
We convene forward thinkers and innovators at events worldwide to explore how AI can drive change in ADR.
In collaboration with Creative Lawyers, we released a comprehensive course designed to guide law firms through generative AI strategy and adoption.
To ensure our fees are never a barrier to justice, the AAA reduces or waives fees for eligible consumers in arbitration. This program helps level the playing field with efficient, fair, and affordable dispute resolution.
Designed with geographic equity in mind, this AAA-administered panel allows Minnesotans—urban and rural alike—to resolve auto claims fairly and efficiently through a well-structured, transparent arbitrator selection process.
- 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.
- 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 data confidentiality, integrity, and the AAA’s system reliability while defending against external threats and ensuring operational resilience.
- 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 Performance: AI applications should adhere to industry standards for uptime and response time to human inputs.
- 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.
- 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.
- Proactive AI Monitoring: Establish and apply standards for the monitoring and evaluation of 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.