UCLA Establishes AI Advisory Committee to Guide Educational Integration
UCLA forms an advisory committee on AI to enhance educational practices and address challenges.
Key Points
- • 66% of UCLA students used generative AI tools in 2024.
- • The committee focuses on AI literacy, accessibility, and training for instructors.
- • It aims to unify campus efforts addressing AI's educational roles.
- • Concerns about AI disrupting traditional evaluation methods are raised.
In a significant move to adapt to the pervasive use of artificial intelligence in education, UCLA has formed the Advisory Committee on AI in Teaching and Learning. This initiative comes in response to findings from the 2024 University of California Undergraduate Experience Survey, which revealed that 66% of UCLA students have utilized generative AI tools in their studies.
Under the leadership of Vice Provost Erin Sanders O’Leary, the committee aims to develop guidelines around AI usage in educational contexts, focusing on areas such as AI literacy, accessibility of generative AI, and effective instructor training. "Providing research-informed guidance around how to leverage emerging technologies like AI is a major priority," O’Leary explained, emphasizing the need for coherent strategies across campus.
The committee is co-chaired by Chris Mattmann and Kem Saichaie, comprising members from various academic and operational areas. Their discussions will address both opportunities—like rethinking pedagogy—and challenges, such as the implications of AI on traditional assessment methods. For instance, member Elisa Kreiss cautioned that educators may need to reconsider evaluation strategies to ensure they do not merely grade AI-generated content.
UCLA leadership, including Executive Vice Chancellor and Provost Darnell Hunt, supports this collaborative effort, asserting the necessity for unified responses to the complex roles AI is taking in education. The formation of this committee showcases UCLA's commitment to navigating the transformative landscape of AI in academic settings, aiming for enhanced learning experiences while addressing potential risks associated with AI technology.