University AI Guidelines Open for Feedback
Source: thedailytexan.com
University AI Guidelines Proposed
The University’s proposedResponsible Adoption of Artificial Intelligence Tools for Teaching and Learningis available online for feedback for the upcoming academic year, with priority given to submissions before July 31. Announced May 6, the framework proposes guidelines for professors and students regarding responsible AI use in the classroom.
The working group that developed the guidelines is accepting comments before finalizing them in the fall. Kasey Ford, AI designer at the Office of Academic Technology, expressed hope that the guidelines could help people evaluate tools for use and teaching.
According to Ford, the aim is to disseminate guides and reports that help people find tools that solve problems while adhering to the responsible framework.
Framework Development
The guidelines were created after six months of research and consultation with AI experts and professors. The framework includes eight guiding principles for AI use, such as intention, stewardship, and relationships.
Ford noted the importance of relationships, emphasizing the social and relational aspects of AI use and the need to focus on relationships between peers, faculty, students, and the broader campus community.
Support for Guidelines
AI professors on campus support the guidelines, stating they provide direction for students and professors without hindering AI use. Peter Stone, director of Texas Robotics, noted the clarity and directness of the University’s approach to responsible AI use.
Stone acknowledged the uncertainty among faculty and students about the appropriate pedagogical use of AI tools. Sharon Strover, a journalism professor who helped write the guidelines, wants to include AI examples in the framework to offer more direction. Strover suggested a shared space for people to share how they are using AI, including its strengths and weaknesses.
The University plans to continue accepting suggestions and allow for open comment periods every six months to improve the framework, even after the July 31 prioritization deadline. Ford acknowledged the rapidly evolving nature of AI in higher education and the expansion of the framework to include all kinds of AI technologies.