Character.AI and Google settled five lawsuits alleging the company's chatbot companions contributed to teen suicides and severe mental health harm, even as a broader wave of similar litigation against AI chatbot makers continues to grow.
HIMSS's AI Executive Leadership Summit and AI in Healthcare Forum brought hospital leaders to San Diego to confront a widening gap between fast-moving AI adoption and the governance infrastructure needed to deploy it safely.
An autonomous AI triage system freed up roughly 8,500 UK dermatology appointments by screening low-risk skin lesions without clinician review, one of the largest real-world tests yet of autonomous AI decision-making in medicine.
Eight states filed separate lawsuits against OpenAI on October 14, alleging ChatGPT endangers teens and misleads parents about its safety, in what one attorney called the most significant coordinated state action against an AI company to date.
A Walton Family Foundation and Gallup study found 32% of US teachers use AI weekly, saving nearly six hours a week, even as 40% of teachers report using it not at all — a sharp adoption split in American classrooms.
Google DeepMind's new WeatherNext 3 AI model delivers hourly, 5km-resolution forecasts and is rolling out across Search, Maps, and Gemini, promising sharper rain prediction than its predecessor.
Anthropic has reportedly agreed to acquire stealth drug-discovery startup Coefficient Bio in a $400 million all-stock deal, deepening its push into life sciences alongside a wave of AI-pharma tie-ups.
WearOptimo unveiled a new AI-native wearable sensor that reaches just under the skin to capture richer bioimpedance data at the Abu Dhabi Future Health Summit, part of an intensifying race to extract deeper physiological insight from wearable AI.
University of Pennsylvania researchers used AI to analyze 150,000 Reddit posts from gray-market users of unapproved weight-loss drug retatrutide, surfacing side-effect patterns that formal surveillance systems don't capture.
ARPA-H's new ADVOCATE program aims to produce an FDA-authorized clinical AI agent within 39 months, a far more compressed timeline than medical AI has typically taken, testing whether agentic AI can meet clinical safety standards that fast.