Mark Zuckerberg is expected to appear as a star witness in an unusual $8 billion trial that kicks off this week at which the Meta CEO is accused of operating Facebook as an illegal enterprise that allowed users' data to be harvested without their consent.

Mark Zuckerberg said on Monday that Meta Platforms would spend hundreds of billions of dollars to build several massive AI data centers for superintelligence, intensifying his pursuit of a technology he has chased with a talent war for top engineers.

Meta’s new AI chatbot is getting personal, and it might be sharing more than you realize. A recent app update introduced a "Discover" feed that makes user-submitted chats public, complete with prompts and AI responses.

Meta's AI app on mobile has been exposing deeply personal information in a public Discover feed. You must follow these steps to plug those leaks.

Meta AI, Gemini and Copilot were found to be the most aggressive data collectors in a study of generative AI platforms.

Apple has reportedly lost its top executive in charge of artificial models to Meta Platforms, as the Facebook parent continues to build up its new “Superintelligence” AI division.

Meta has reportedly invested $3.5 billion in EssilorLuxottica, the eyewear company that owns Ray-Ban and Oakley. The two companies have been in partnership since 2020, collaborating on glasses featuring artificial intelligence technology.

Zuckerberg is picking off top talent from across the industry, and OpenAI might be more vulnerable than most.

Across the group, however, Le Chat took top prize as the most privacy-friendly AI service. Though it lost a few points for transparency, it still fared well in that area. Plus, its data collection is limited, and it scored high points on other AI-specific privacy issues.

Leaked documents show Meta is training its AI chatbots to send unprompted follow-up messages to boost user retention, raising privacy and manipulation concerns.

Meta Platforms has overhauled its stumbling efforts in artificial intelligence by making a head-spinning series of hires of leaders and researchers from outside the company. But a key question has lingered: Why has Meta struggled so badly in AI that it’s injecting so much