A new global study finds that misalignments between higher education and employer expectations are slowing the development of an AI-ready workforce, as colleges struggle to translate learning into practical, job-ready skills.
A California State University (CSU) study of nearly 100,000 faculty, staff, and students found widespread use of artificial intelligence (AI) in higher education but raised concerns about ethics and oversight.
Members of Generation Z – those born between 1997 and 2012 – are growing more cautious about the impact of artificial intelligence (AI), particularly in education, where rising use of the technology in schools is being met with skepticism about its effect on learning and academic integrity, according to a new survey from the Walton Family Foundation and Gallup.
The University of Dayton is rolling out a new artificial intelligence-focused curriculum this fall, with all first-year students set to study both the technical foundations of AI and its ethical and societal implications.
The State of New York is expanding its artificial intelligence (AI) training program to reach more than 100,000 state government employees, building on a successful pilot begun last year.
The University of Chicago (UChicago) received a $50 million gift from trustees Rika Mansueto and Joe Mansueto to advance the university’s efforts on artificial intelligence (AI). The gift will support the formation of a cohort of faculty who are experts in the use of AI in research in academic disciplines across the university.
Black Girls Code, a nonprofit that prepares young girls and women for careers in technology, announced that it has partnered with Endless Access, a youth-focused game making studio and learning hub, to expand access to its summer program.
The share of students using artificial intelligence (AI) tech to help with homework rose sharply in 2025, according to a new report from RAND Corporation, highlighting rapid adoption of the technology across middle school, high school, and college levels.
A new report from Duke University lays out recommendations for a long-term strategy on artificial intelligence (AI), including investments in faculty hiring, student research, shared data and computing infrastructure, and more formal governance structures to guide how the university uses the technology.
State governments that are moving toward the use of agentic artificial intelligence (AI) technologies should apply the same oversight and governance lessons developed for generative AI tech, according to a March 3 report from the National Association of State Chief Information Officers (NASCIO).
