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The American Medical Association published its first practical patient guide for AI chatbot use in healthcare, endorsing AI as a preparation tool while warning against using it for diagnosis or treatment decisions.
More than 1,200 court cases globally now involve AI-related sanctions — and a wave of state disclosure laws is following suit.
A new study finds patients consistently withhold symptoms from AI health chatbots, creating a diagnostic gap that undermines real-world accuracy even as AI outperforms doctors on benchmarks.
Connecticut's SB5 cleared both legislative chambers on May 1, 2026, establishing AI obligations around companion chatbots, automated hiring, and synthetic content — making it one of the most comprehensive state AI laws in the country.
FTC inquiries, state AG investigations, and diverging state laws are creating compounding liability exposure for companies deploying AI chatbots — and the rules are being written in real time.
Patients share significantly less symptom detail with AI diagnostic chatbots than with human physicians, and that disclosure gap could undermine clinical accuracy regardless of how well the underlying models perform.
Major U.S. law firms are warning clients that sharing legal communications with AI chatbots could waive attorney-client privilege, following a ruling in which ChatGPT conversations were deemed potentially discoverable by opposing counsel.
Major law firms are now writing AI privilege warnings into client contracts as courts sanction attorneys for AI-hallucinated citations — two converging risks the legal profession is only beginning to reckon with.
U.S. courts are sending urgent warnings to anyone using AI chatbots for legal work: feeding attorney communications into tools like ChatGPT may inadvertently destroy one of law's most fundamental protections.
For the first time, network automation has overtaken customer service as telecoms' top AI investment priority — a structural shift from chatbots to the infrastructure layer itself.