Data Privacy

A responsible AI framework mitigates the risks from artificial intelligence systems developed outside the company.

Generative artificial intelligence raises novel legal questions about data use and how content will be regulated. A law partner offers guidance.

A roster of artificial intelligence experts calls for an international body to better identify the risks, opportunities, developments, and possible global effects of AI.

How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.

Blockchain’s permanent record is one of its strengths, but it can cause problems for marketing strategies and consumer privacy.

Chief data officers are focused on data governance and creating a data-driven culture, according to a new survey report written by Tom Davenport.

Synthetic data offers the opportunity to test new ideas and develop new products without putting personal or health data at risk.

Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.

Launching artificial intelligence initiatives can be a daunting task. Start with these five data monetization capabilities.

Should you pay up? Here are five things to consider when you’re hit with ransomware, according to a Secret Service cyber investigator.