AI is changing the way doctors diagnose health conditions and treat patients. There’s a lot of optimism about its potential for improving health outcomes. However, because AI requires massive amounts ...

Organizations are looking to implement AI systems while safeguarding stakeholder privacy and maintaining trust. At Data Summit 2026, Uchenna Okezie, senior analyst, O Enterprises, covered the critical ...

Ashley Casovan, managing director of the IAPP’s AI Governance Center, on how AI is reshaping who does governance work and how ...

While artificial intelligence has long supported higher education research initiatives, it’s now expanding into areas that touch student data. Examples include face recognition in surveillance cameras ...

Artificial Intelligence (AI) systems today rely on a variety of data types, including health records, banking transactions, and location information. Governments around the globe are increasingly ...

Browser-based AI tools can streamline workflows, but without clear safeguards, sensitive company information can be exposed ...

The impact of AI systems cannot always be attributed to epistemic or ethical failures. Much of their impact can appear initially ethically neutral in the absence of obvious harm. A separate set of ...

AI chatbots promise faster triage, improved patient engagement, and streamlined workflows. However, healthcare AI risks remain significant, ranging from misdiagnoses to breaches of sensitive data.

Key point: Just one month into 2026, state lawmakers are already considering hundreds of AI and privacy related bills. In this post, we provide key takeaways on proposed state AI and privacy bills ...