As artificial intelligence tools are becoming more and more integrated into university life, the University of Texas in Austin opens the way with new guidelines to help students, teachers and personnel to use in a responsible manner in educational circles.
The adoption responsible for the adoption of AI for teaching and the apprenticeship framework, announced on May 6 in a concession Academic technology office And Good systemsOffers practical advice on how to use ethically and effective AI to support teaching and learning. THE Proposed guidelines are open for public comments until July 31 and will be finalized in time for the fall semester.
“As AI tools become more common in academic contexts, there is an urgent need for practical advice based on educational values ​​such as academic integrity, privacy and critical thinking,” said Kasey Ford, main specialist in academic technology and designer of AI at the office of academic technologies. “We want to allow our community to use these tools with all confidence and in a responsible manner.”
While many universities offer advice on AI, the concentration of the UT on teaching and learning makes it unique among the main research institutions, said Julie Schell, assistant vice-pre-premium and director of the office of academic technology. The framework is based on the wider efforts of the university to build a In -depth technological infrastructure This promotes responsible innovation and provides access to the campus to advanced AI tools while promoting the ethical uses of AI between disciplines.
“At Good Systems, our objective is to build effective human partnerships that benefit the company,” said Ken Fleischmann, professor at the School of Information and Founder Chair of Good Systems. “Our research includes human -centered approaches to improve education and training, including intelligent hand tools for qualified trade workers, and we have also widened education in ethical AI across the campus.”
“It is necessary to fill the gap between technologists who need to learn to consider the societal implications of their work and lawyers and decision -makers who must inform their understanding of AI,” said Sherri Greenberg, professor of practice at the LBJ School of Public Affairs and a previous president of good systems. “Our collaboration with the Office of Academic Technology reflects a common commitment to ensure that AI tools are not only pedagogically effective but also ethical, transparent and aligned with human values.”
The proposed directives reflect a collaborative process and community -oriented. More than six months, a working group of teachers and staff members across the campus has consulted experts in pedagogy, research on AI, data confidentiality and ethics to define what “responsible AI” means in the context of education. The resulting framework includes eight guiding principles to help make informed decisions based on values ​​on how and the time to use AI tools.
The framework is intended to support any person involved in the teaching and learning process, instructors and students to educational designers and university staff.
“We did not want a policy from top to bottom of the AI,” said Schell. “We wanted to build something that aligned with our campus values ​​- something created by and for our community.”
The launch event of May 6 presented group discussions with the members of the PUB faculty, students and leaders of the industry exploring the common responsibility for the use of AI to support learning, preparing for workforce and university operations.
“While AI reshapes the way we live and work, establishments like UT Austin which build an interdisciplinary framework for AI are essential to ensure that students are not only talking about technology but also the values ​​and responsibilities that accompany it,” said Robin Lerner, principal director of academic engagement at Microsoft. “By integrating AI into its broader educational mission, the university prepares students to direct both innovation and confidence.”
Members of the UT community, including students, are encouraged to Review the proposed directives And share the comments by July 31.
“The adoption responsible for AI in education should always serve learning,” said Ford. “By anchoring these tools in fundamental principles such as feedback, critical thinking and academic integrity, we help our community to make smarter decisions – not only on technology, but on the future of education itself.”
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