Concerns over the impact of artificial intelligence on academic integrity have sparked calls for educational institutions to adopt more authentic assessment methods and rethink how they evaluate student learning. Educators and commentators emphasize the need for in-person, supervised examinations and new approaches that focus on uniquely human skills to maintain trust in college degrees.

Tricia Bertram Gallant, academic integrity director at the University of California, San Diego, recently remarked that the longstanding assumption colleges could award degrees based solely on unsupervised work may be coming to an end. This perspective reflects growing unease about AI-enabled cheating, with some experts advocating that exams, particularly midterms and finals, be conducted under direct proctoring in physical classrooms rather than relying on online or unsupervised formats.

Jennifer Enani, a reader from Los Angeles, argues that in-person proctored exams should be a baseline expectation at most institutions, especially when classes are held on campus. She highlights that such measures would enhance the authenticity and credibility of the college experience, which is already facing challenges tied to student mental health and social isolation.

Others caution that the advent of AI technologies signals a broader shift away from viewing professors as sole gatekeepers of knowledge. Jim Johnson of Hemet draws a parallel between this transformation and historical movements toward democratizing information, suggesting that educators must now prioritize helping students develop wisdom—the ability to apply knowledge thoughtfully in real-world contexts—to remain relevant and effective.

The discussion also extends beyond traditional testing formats to the core purpose of education itself. Pattie Porter from Firestone points to a growing consensus that education should emphasize "distinctly human" attributes—such as empathy, critical thinking, nurturing relationships, conscience, and sound judgment—qualities that AI cannot replicate. This approach reframes education as an opportunity to cultivate these uniquely human competencies rather than merely to recall information.

Suggestions for combating AI-assisted cheating include reverting to traditional exam practices. Steven Hendlin from Newport Beach proposes requiring students to write tests by hand in proctored environments without prior access to exam questions, thereby eliminating the possibility of AI involvement and reinforcing foundational skills like cursive writing. However, he acknowledges that this may not address the use of AI in assignments such as term papers, which may require innovative assessment strategies leveraging AI tools themselves.

As AI continues to pervade educational settings, stakeholders grapple with balancing technology’s benefits against risks to academic integrity. A common thread in the debate is the call for authentic, observable learning experiences that preserve the value of degrees and ensure students develop skills that extend beyond what machines can emulate.