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.

Lauren Glenn Manfuso is a journalist and editor in the Washington D.C. metro area. Her work has appeared in Prevention magazine online, the Miami Herald and USA Today. If college applicants and ...

As artificial intelligence (AI) becomes more integrated into higher education, universities must adopt robust governance practices to ensure AI is used responsibly. AI can generate valuable insights ...

This study identifies limited engagement with equity among academic medical centers as they develop governance processes for artificial intelligence (AI)/machine learning and predictive technologies.

CU Boulder collects, uses and maintains a significant amount of data. This includes, but is not limited to student, employee, research and finance data. Institutional data supports CU Boulder’s ...

Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding ...

By Muhammad Aslam Hayat Pakistan’s Indus AI Week was not just another technology event. It marked a national shift in how ...

The State University of New York College of Environmental Science and Forestry (SUNY ESF) strives to establish an essential framework for the necessary control and enforcement mechanisms of ...

Data Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...