At the Cleveland Institute of Art, the arrival of generative technologies has prompted a lively clash between enthusiasm and caution as staff and students try to reconcile digital tools with long‑standing artistic practices. According to Ideastream Public Media, the campus has become a testing ground for how artificial intelligence can be integrated into teaching while safeguarding originality and craft.

In the institute’s interactive media lab, faculty and undergraduates are using the extended reality studio to combine traditional production skills with algorithmic assistance. Ideastream describes a senior student using AI to learn the studio’s equipment and to troubleshoot technical challenges while shooting short films and music videos.

One faculty member has embraced large language models to bridge gaps in technical knowledge. “I knew how to 3D model. I knew how to use computers. I could figure out the basics. But I didn't know how make it work with different shots, so I used large language models, both Gemini and ChatGPT, to figure out how to make that workflow happen,” Professor Jimmy Kuehnle told Ideastream, illustrating how instructors are adapting new tools to classroom workflows.

Institutional leadership has sought to frame AI adoption around ethics and academic standards rather than blanket endorsement. The institute’s president, Kathryn Heidemann, told Ideastream that the school developed an AI philosophy to emphasise learning and responsibility, and that “plagiarism is a non-starter.”

Students express a range of positions. Some, like junior Hailey Fuller, report using AI early in the creative process to generate conceptual prompts and shape visual language. Fuller said she used AI to test tone and direction before refining ideas by hand. Others remain wary: senior Bianca Curry‑Naguit, a painter, said she has “no desire of using it to make work, and I have no desire to [look] at work made solely by AI - or just having the final result be a generated image or a generated text.” Another student argued that algorithmic outputs can erode the personal touch that defines much studio practice.

Concerns about employment after graduation underpin much of the campus debate. Heidemann told Ideastream that employers are beginning to ask about graduates’ proficiency with AI tools and that familiarity will become part of expected digital literacy, even as some job functions evolve or disappear.

The discussion at the institute sits alongside wider cultural experiments with machine assistance. The Cleveland Museum of Art has developed educational tools that let users extend images from its Open Access collection and practise prompt engineering, while other ArtLens features match user photographs with works in the museum’s holdings. Public programming in the region has also engaged the theme: Ideastream hosted events examining AI’s role in arts education as part of a broader series on the technology.

That mix of institutional guidance, student ambivalence and local experimentation mirrors trends in other campuses and creative communities. Reporting from Cleveland State University indicates generative AI is widely used by students, sometimes in ways that prompt academic integrity concerns, while commentary from library and design professionals highlights tensions over copyright, authorship and the valuation of human craft. Those broader debates inform the institute’s attempt to balance openness to new tools with protections for individual creativity.

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Source: Noah Wire Services