The Machine-Translated Web: Signs of a New Educational Reality
A new study reveals the extent to which AI translations already dominate the internet. What does this mean for educators?
A new study reveals the extent to which AI translations already dominate the internet. What does this mean for educators?
To address privacy, accessibility, and affordability issues, the University of Michigan decided to develop closed generative AI tools for use by its campus community.
Effectively integrating generative AI into higher education requires policy development, cross-functional engagement, ethical principles, risk assessments, collaboration with other institutions, and an exploration of diverse use cases.
Reflecting on AI and learning, a student offers four insights gleaned from firsthand interactions with ChatGPT.
As extended reality continues to be adopted in colleges and universities, higher education leaders need to consider regulatory and ethical implications. The authors offer a three-phased implementation approach.
In this episode, we hear from three students who use AI to help them with their coursework. They also share their thoughts about how AI may serve their careers once they graduate.
In the age of generative artificial intelligence, how should instructors change the way they teach?
Particularly for new technologies that disrupt long-standing practices and cultural beliefs, the work of carefully and intentionally developing effective policies can pay significant dividends.
The release of ChatGPT and similar AI tools that generate content including text, images, and audio has prompted both excitement and apprehension among leaders, faculty, students, and others in higher education.
Chris Daugherty, Education Strategy Lead for Google Cloud, shares his thoughts on the positive and negative concerns around artificial intelligence.