Ethics Is the Edge: The Future of AI in Higher Education
A new framework outlines eight ethical principles to guide higher education’s implementation of artificial intelligence.
A new framework outlines eight ethical principles to guide higher education’s implementation of artificial intelligence.
By leveraging generative artificial intelligence to convert lengthy instructional videos into micro-lectures, educators can enhance efficiency while delivering more engaging and personalized learning experiences.
To develop a robust policy for generative artificial intelligence use in higher education, institutional leaders must first create "a room" where diverse perspectives are welcome and included in the process.
Student success is a shared institutional commitment. Increasingly diverse student populations, mounting mental health concerns, and the exponential growth of digital information call for a reimagined approach to academic support—one that is proactive, personalized, and collaborative.
The need for deep student engagement became clear at Dartmouth Geisel School of Medicine when a potential academic-integrity issue revealed gaps in its initial approach to artificial intelligence use in the classroom, leading to significant revisions to ensure equitable learning and assessment.
When used thoughtfully and transparently, generative artificial intelligence can augment creativity and challenge assumptions, making it an excellent tool for exploring and developing ideas.
Prompting careful dialogue through incisive questions can help chart a course through the ongoing storm of artificial intelligence.
As artificial intelligence becomes embedded in the technology ecosystem, clear guidelines and practices for selecting and implementing AI products and features and working with vendors are vital for ensuring alignment with institutional goals and culture.
TritonGPT, developed at UC San Diego, is a suite of AI-powered assistants designed to streamline administrative tasks, enhance productivity, and provide institution-specific insights by retrieving, summarizing, and generating content securely.
Given the widespread impacts of generative AI, looking at this technology through the lens of autonomy can help equip students for the workplaces of the present and of the future, while ensuring academic integrity for both students and instructors.