Academic advisors lack clear protocols for detecting and addressing AI-generated student work

Faculty advisors face an urgent dilemma when they suspect students or collaborators have used AI to generate academic work, but lack institutional guidance, detection tools, and clear consequences frameworks to address the situation. Current solutions fail because universities haven't established clear policies on AI use, advisors fear legal/reputational consequences, and there's no standardized way to verify authorship or determine appropriate remediation.