AI and Higher Education: Towards Centers of Excellence
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AI in Higher Education: An Uneven Deployment
The integration of artificial intelligence in higher education is already underway, but it often occurs in an uneven manner and without sufficient coordination. Teachers, researchers, and administrative staff are each exploring the possibilities offered by AI independently, whether to enrich courses, push the boundaries of research, or optimize internal operations. However, in the absence of a structured framework, these efforts can quickly become scattered and lack coherence, even becoming risky.
Towards Centers of Excellence in AI
To address this situation, some institutions are considering the creation of centers of excellence in AI. These centers, which have already proven their worth in the private sector, aim to centralize efforts around AI in higher education. They would serve as a focal point for the adoption, governance, and scaling of AI technologies, thus ensuring a more coherent and secure approach.
A Model Inspired by the Private Sector
Centers of excellence in AI are already well established in companies, where they play a crucial role in optimizing processes and driving innovation. By transposing this model to higher education, institutions hope to structure educational and research initiatives while minimizing the risks associated with a haphazard adoption of AI.
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