As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...

As organizations move quickly to adopt AI, many are discovering that the biggest obstacle isn’t the technology itself; it’s the condition of the data feeding it. When data is scattered across systems, ...

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 ...

As data moves beyond institutional systems, higher education faces a growing challenge with shadow data. Here’s how IT leaders can identify, manage and govern it before it creates compliance risks. In ...

Editor’s note: These are big, complex topics — so we've spent more time exploring them. Welcome to GT Spotlight. Have an idea for a feature? Email Associate Editor Zack Quaintance at ...