A new framework outlines eight ethical principles to guide higher education’s implementation of artificial intelligence.

Finding ways to collaborate with fellow institutions and corporate partners can lead to cost savings when purchasing ...

"Hotline: Cybersecurity and Privacy" tackles the philosophical, moral, strategic, and organizational quandaries related to ...

By leveraging generative artificial intelligence to convert lengthy instructional videos into micro-lectures, educators can enhance efficiency while d ...

Higher education can navigate AI transformation by prioritizing people, addressing technological change through empathetic ...

The recommended readings in this installment of the "Leaders Are Readers" series focus on putting people first. They provide ...

As higher education institutions recognize the strategic value of data, many are still grappling with barriers that slow or complicate modernization e ...

In December 2023, we explored what it would take to develop a robust and meaningful policy for generative artificial intelligence (GenAI) use in higher education. Footnote1 Since then, institutional ...

Navigating the complexities of artificial intelligence (AI) while upholding ethical standards requires a balanced approach that considers the benefits and risks of AI ...

The 2025 EDUCAUSE Top 10 describes how higher education technology and data leaders and professionals can help restore trust in the sector by building competent and caring institutions and, through ...

The transformative impact of artificial intelligence on educational systems calls for a comprehensive reform to prepare future generations for an AI-integrated world. From its emerging stages as a ...

AI technology tools hold remarkable promise for providing more accessible, equitable, and inclusive learning experiences for students with disabilities. The relatively recent release of LLMs has ...