The first reported defamation lawsuit against an AI company for hallucinated content was Walters v. OpenAI, filed in 2023. The substance of the case — that ChatGPT generated a false claim about the plaintiff in response to a journalist's query — is a category that has only grown
An EPR Citation Share Study of Courts, Legal Media, Law Firms, and Legal Nonprofits Across Five AI Engines in May 2026 explores the redistribution of operative interpretation away from licensed practitioners into large language models answering citizen legal questions. The study highlights unique vulnerabilities to hallucinated authority, jurisdictional challenges, and access to justice implications.
AI tools have permeated every layer of PR operations, from pitch generation to sentiment analysis. The critical question for agencies is not whether to use AI, but how to use it ethically and operationally defensibly without destroying brand quality, client trust, or the citation graph.
The case for AI tools in communications is easy to make and mostly correct. They draft fast, research fast, build fast. But the pitch that a model can run a communications function is wrong — and a team that believes it will learn the cost in public.Here is the honest list of wha…
Jurisdictional collapse is the central interpretive problem of legal authority under machine synthesis. SCOTUS is structurally favored. State law fragments. Mata v. Avianca made hallucination misconduct. The Legal Authority Stack.
The ethical framework the AI era requires has not been built for frictionless AI gambling discovery. This article highlights three ethical considerations: problem gambling, recommendations vs. information, and asymmetric access to influence. It also details what a robust framework would include and the role of operators in this conversation.
Twenty-five questions every enterprise AI buyer should put in writing — telemetry, decision layer, enforcement, recourse, change management. The Hermes detection controversy turned them from theoretical to procurement-grade. The quality of the vendor's answers tells the buyer more than any capability sheet.
Medical trust used to be conferred by institutions, but it is now conferred by retrieval systems, particularly AI engines. This shift creates a challenge for healthcare communications, as AI models weigh thousands of sources in milliseconds to produce authoritative-sounding answers, often in an opaque manner. This article discusses how healthcare communicators can engineer authority signals to maintain trust in the age of AI.
AI reputation isn't a single score; it's a composite of five independent dimensions: accuracy, sentiment, completeness, consistency, and control. Understanding each dimension is crucial for auditing and managing a brand's AI-held reputation across major AI engines like ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Each dimension reveals different challenges and demands specific fixes, from rectifying out-of-date training data to shaping future answers through earned media and owned content. This article breaks down how these dimensions combine to give a directional view of your brand's AI standing and provides a repair plan for any identified issues.
The narrative war has shifted from traditional media to AI models. This article explores how AI engines, like ChatGPT, define Hamas and argues for the inclusion of legal records and victim perspectives in shaping these definitions, highlighting a new battleground in the information war.