The American Arbitration Association (AAA) has launched an AI Ambassador Program bringing together 37 attorneys from leading law firms to examine how artificial intelligence (AI) is reshaping disputes and dispute resolution. The group will develop practical resources for users, counsel, arbitrators, mediators, and other professionals, with an initial focus on AI-based evidence and arbitration procedure
Artificial Intelligence
AI Governance Lagging Behind Rapid Employee Adoption of AI Tools
Survey results released in OneTrust’s 2026 AI-Ready Governance Report shows that employees are adopting AI tools more rapidly than company AI governance programs can keep up.
Although organizations indicated they were adopting governance programs to address the use of AI in their organizations, “Some organizations know agents are being used in parts of the business…
AI in the Jury Box: Promise, Limits and the Role of Human Deliberation
Last fall, the University of North Carolina at Chapel Hill School of Law reportedly used ChatGPT, Claude, and Grok as jurors in a mock trial based on a real juvenile case. At the same time, AI-powered jury research platforms are entering the litigation consulting market, offering attorneys and claims professionals rapid assessments of liability, comparative…
From AI Policy to AI Control: Building Governance That Works
AI governance is often treated as a policy problem: define approved uses, create an oversight framework, publish acceptable use rules, and document compliance. These steps matter, especially as increasingly more regulations are introduced that raise expectations for accountability, transparency, data governance, and lifecycle risk management. However, the harder question for many organizations is no longer…
AI “Therapists” Draw State Scrutiny as Mental Health Chatbot Use Surges
AI-enabled mental health tools are moving quickly from novelty to mainstream use, and regulators are starting to draw sharper lines around what those tools can and cannot claim to do. Recent lawsuits against Character Technologies Inc., the company behind Character.ai, allege that the platform hosted bots that mimicked licensed therapists, including one persona that allegedly…
AI Meeting Tools Face Wiretapping Wake-Up Call
A new California federal lawsuit against AI notetaking provider Granola highlights a growing privacy risk for companies using meeting transcription tools: consent cannot be an afterthought. According to the complaint, Granola’s software allegedly recorded a virtual meeting participant without giving notice that an AI notetaker was present or seeking permission to record. The plaintiff claims…
White House Moves Toward Voluntary AI Model Review Framework
The White House is moving closer to a voluntary framework under which AI companies would submit their most advanced models to the federal government before public release. The White House’s Office of the National Cyber Director reportedly circulated the draft framework by to OpenAI, Anthropic, and Google, and those companies jointly submitted edits. Although the review…
Frontier Model Evaluations Show They “Cheat”
A new study by the AI Security Institute (AISI), Cheating Behaviour in Frontier Model Evaluation, found “cheating behaviour in all of our capability evaluations,” and outlines “the implications as models grow more capable.”
AISI defined “cheating” as “taking an action that is out of scope for the task or explicitly disallowed by the rules…
AI In the Dugout: MLB’s AI Crackdown Shows Why Guardrails Matter
Major League Baseball’s (MLB) move to restrict dugout iPad functionality is a reminder that AI governance is showing up everywhere, including in the middle of professional baseball games. According to reports, MLB disabled custom tablet tabs after concerns that teams were using AI-powered tools to support real-time decisions on substitutions, pitch calling, and other in-game…
FTC Frames AI Output Steering as a Potential Section 5 Risk
The Federal Trade Commission’s (FTC) proposed policy statement puts a new consumer-protection frame around AI model behavior: if an AI company represents that its system is designed to deliver accurate, objective, or user-directed outputs, the company may create a reasonable consumer expectation that the system is trying to provide the best answer it can within…