The release of America’s AI Action Plan marks a pivotal step in shaping a trustworthy, safe, and rights-respecting AI ecosystem. While the document primarily emphasizes research, standards, and coordination, it also implicitly lays the foundation for a future where disputes involving AI systems will require dedicated, agile, and transparent resolution mechanisms.

One of the plan’s central themes is the importance of accountability in AI development and deployment. This creates a natural on-ramp for Alternative Dispute Resolution (ADR) frameworks that can offer efficient, accessible, and expert-driven channels for resolving conflicts, particularly in areas where traditional legal systems may struggle to keep pace with algorithmic opacity and cross-border AI interactions.

The document outlines key actions to advance standards for trustworthy AI, including fairness, explainability, and safety. But these values are only as robust as the systems in place to enforce them. ADR can serve as a bridge between technical standards and real-world enforcement, offering interpretability and recourse when harms occur, especially in situations where AI decisions affect employment, housing, healthcare, or credit.

Moreover, the Action Plan highlights the need for cross-sector collaboration, which aligns closely with the multistakeholder nature of ADR. Engaging technologists, regulators, civil society, and legal experts in shared governance models mirrors what ADR has long enabled: context-specific, expert-informed, and resolution-focused forums for conflict.

Finally, as the U.S. government advances public-sector AI governance and promotes international coordination, the need for globally interoperable dispute systems will only grow. Just as the internet required new bodies and protocols to manage domain names and cybersecurity, the age of autonomous systems will demand tailored mechanisms for dispute resolution.

While the plan doesn’t explicitly call for ADR infrastructure, its core pillars, trust, accountability, interoperability, and coordination, create a clear policy space where AI ADR initiatives can thrive. This is not just about resolving disputes. It’s about reinforcing trust in the AI systems that will increasingly mediate our societies, economies, and rights.