PhD students lack clear institutional guidance on AI tool usage in academic work, creating ethical and career risk

Math and statistics PhD candidates face ambiguous policies around using LLMs for dissertation proofs, forcing them to make risky decisions without official guidance. Advisors and institutions haven't established clear boundaries, leaving students vulnerable to accusations of academic misconduct that could derail their careers. Current solutions (asking advisors informally, guessing at policies) are unreliable and create anxiety about whether their work will be accepted.