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Associate Professor Stephen Carradini, from the School of Applied Professional Studies, joins Associate Teaching Professor Adam Pacton, CISA dean’s fellow for AI literacy and integration, from the School of Applied Sciences and Arts, to explore the challenges of AI disclosure in higher education.

“The transparency dilemma: How AI disclosure erodes trust” by Oliver Schilke and Martin Reimann
“We find that, despite being touted as a practice of ethical transparency, AI disclosure paradoxically erodes trust. This finding challenges prevailing assumptions and underscores the potential negative impact of transparency on trust.”

“How AI is impacting trust among college students and teachers” by Elise Silva
“Whether students and faculty are actively using AI or not, it is having significant interpersonal, emotional effects on learning and trust in the classroom. While AI products such as ChatGPT, Gemini or Claude are, of course, affecting how students learn, their emergence is also changing their relationships with their professors and with one another.”

“The Case Against Disclosure: Defending Creative Autonomy in the Age of AI” by James Huston and Daniel Plate
“The book tackles a question at the heart of education, publishing, and cultural policy: should creators be compelled to disclose every use of AI in their work? We argue that such mandates risk constraining innovation, placing undue burdens on creators, and mistaking procedural transparency for genuine accountability.”

“The AI Transparency Paradox” by Andrew Burt
“In recent years, academics and practitioners alike have called for greater transparency into the inner workings of artificial intelligence models, and for many good reasons. … At the same time, however, it is becoming clear that disclosures about AI pose their own risks: Explanations can be hacked, releasing additional information may make AI more vulnerable to attacks, and disclosures can make companies more susceptible to lawsuits or regulatory action.”