







The suit claims the popular service may be recording and processing millions of users' private conversations without consent.
AI Meeting Recording Laws by State: Complete Guide (2026)
Are AI meeting recorders like Otter.ai and Fireflies legal? State-by-state consent laws, penalties, and compliance guide for AI transcription tools in 2026.

Meta sued over AI smart glasses' privacy concerns, after workers reviewed nudity, sex, and other footage | TechCrunch
Lawyers say Meta's marketing materials promised privacy and user control over sharing footage. But an investigation found that subcontractors are reviewing footage from customers' glasses.

AI ruling prompts warnings from US lawyers: Your chats could be used against you
As people increasingly turn to artificial intelligence for advice, some U.S. lawyers are telling their clients not to treat AI chatbots like trusted confidants when their freedom or legal liability is on the line.

When Private AI Chats Become Public: Lessons from Grok’s Privacy Spill
Understand the implications of the Grok breach where hundreds of thousands of private chats were leaked to the public.

This Conversation Is Being Recorded. They All Are.
People in tech use AI apps to record and transcribe meetings, workplace chats and even dates—all in the name of productivity.
User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies
Hundreds of millions of people now regularly interact with large language models via chatbots. Model developers are eager to acquire new sources of high-quality training data as they race to improve model capabilities and win market share. This paper analyzes the privacy policies of six U.S. frontier AI developers to understand how they use their users' chats to train models. Drawing primarily on the California Consumer Privacy Act, we develop a novel qualitative coding schema that we apply to each developer's relevant privacy policies to compare data collection and use practices across the six companies. We find that all six developers appear to employ their users' chat data to train and improve their models by default, and that some retain this data indefinitely. Developers may collect and train on personal information disclosed in chats, including sensitive information such as biometric and health data, as well as files uploaded by users. Four of the six companies we examined appear to include children's chat data for model training, as well as customer data from other products. On the whole, developers' privacy policies often lack essential information about their practices, highlighting the need for greater transparency and accountability. We address the implications of users' lack of consent for the use of their chat data for model training, data security issues arising from indefinite chat data retention, and training on children's chat data. We conclude by providing recommendations to policymakers and developers to address the data privacy challenges posed by LLM-powered chatbots.

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies
Hundreds of millions of people now regularly interact with large language models via chatbots. Model developers are eager to acquire new sources of high-quality training data as they race to improve model capabilities and win market share. This paper analyzes the privacy policies of six U.S. frontier AI developers to understand how they use their users' chats to train models. Drawing primarily on the California Consumer Privacy Act, we develop a novel qualitative coding schema that we apply to each developer's relevant privacy policies to compare data collection and use practices across the six companies. We find that all six developers appear to employ their users' chat data to train and improve their models by default, and that some retain this data indefinitely. Developers may collect and train on personal information disclosed in chats, including sensitive information such as biometric and health data, as well as files uploaded by users. Four of the six companies we examined appear to include children's chat data for model training, as well as customer data from other products. On the whole, developers' privacy policies often lack essential information about their practices, highlighting the need for greater transparency and accountability. We address the implications of users' lack of consent for the use of their chat data for model training, data security issues arising from indefinite chat data retention, and training on children's chat data. We conclude by providing recommendations to policymakers and developers to address the data privacy challenges posed by LLM-powered chatbots.

WhatsApp class action alleges Meta, third parties accessed private messages without consent
A new class action lawsuit alleges WhatsApp messages are not private.

Privatemode AI - The always encrypted AI service
Privatemode is the first AI service that protects the confidentiality of your data end-to-end. Use AI without security and privacy worries.

Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security — California Law Review
Harmful lies are nothing new. But the ability to distort reality has taken an exponential leap forward with “deep fake” technology. This capability makes it possible to create audio and video of real people saying and doing things they never said or did. Machine learning techniques are escalating th

Lumo: Privacy-first AI assistant where chats stay confidential
Meet Lumo, the zero-access encrypted AI assistant by Proton that does not track or record your conversations. Ask me anything — it's confidential

Lumo: Privacy-first AI assistant where chats stay confidential
Meet Lumo, the zero-access encrypted AI assistant by Proton that does not track or record your conversations. Ask me anything — it's confidential

Meta allowed minors access to sex-talking chatbots despite staff concerns, lawsuit alleges
Filing by New Mexico’s attorney general includes Meta staff emails objecting to AI companion policy

Lawyer Caught Using AI While Explaining to Court Why He Used AI
The attorney not only submitted AI-generated fake citations in a brief for his clients, but also included “multiple new AI-hallucinated citations and quotations” in the process of opposing a motion for sanctions.

AI Wants Your Life: Tech Boss Meredith Whittaker Says No | The Mishal Husain Show
Be Careful What You Tell Your AI Chatbot | Stanford HAI
A Stanford study reveals that leading AI companies are pulling user conversations for training, highlighting privacy risks and a need for clearer policies.
