These practices raise undeniable ethical, security and privacy concerns. As open-source AI platforms rise in popularity, data security and privacy must be non-negotiable priorities.

Meta's efforts to placate Europe over the use of personal data to train AI models hasn't worked, with privacy advocacy group noyb launching another challenge.

DOGE staffers have skirted privacy laws, training and security protocols to gain virtually unfettered access to financial and personal information stored in siloed government databases.

Examples of identity-related documents found in CommonPool’s small-scale data set show a credit card, a Social Security number, and a driver’s license.

Chinese artificial intelligence start-up DeepSeek has lifted the veil on how it filters data to train its models, raising red ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

(THE CONVERSATION) Cybersecurity and data privacy are constantly in the news. Governments are passing new cybersecurity laws. Companies are investing in cybersecurity controls such as firewalls, ...

LinkedIn appears to have begun scraping user data to train generative AI models before updating its privacy policy.

While Meta has been training its AI on user-generated content in the U.S. for years, it has faced resistance in the EU due to the bloc’s strict privacy laws, particularly the General Data ...

Contractors training Meta's AI say they read intimate talks with its chatbot — and see data that identifies users ...