ai privacy

AI chatbot conversations are being exposed in public search results, highlighting a major digital privacy vulnerability that affects multiple platforms.…

Sourcing high-quality training data is a major challenge for AI development, raising concerns over the use of sensitive or personal…

Churches are increasingly using biometric surveillance systems like facial recognition to identify congregants and cross-reference their data without their knowledge,…

Running powerful language models locally is now more accessible, allowing privacy-focused or independent users to experiment with everyday devices like…

Running LLMs locally enhances user control and stability by eliminating reliance on unpredictable corporate platforms, though it requires more processing…

Privacy in the AI era has shifted from control to trust, as autonomous AI systems analyze and act on personal…

Apple introduced the Foundation Models Framework at WWDC, enabling developers to integrate on-device AI with minimal coding (as few as…

The New York Times alleges that OpenAI had trained its ChatGPT model, which also powers Microsoft’s Copilot, by “copying and…

Google launched Google AI Edge Gallery, an app allowing offline use of open-source AI models on Android (iOS soon), enhancing…