Owing to paucity of time, a university professor generates a Ph.D. evaluation report using Artificial Intelligence and submits it with some modifications. Discuss this from the perspective of accountability and integrity.
The professor's action, though driven by time constraints, violates the core principles of accountability and integrity that underpin academic and public duty.
Integrity demands honesty in performance of one's assigned role. As an evaluator, the professor's independent judgement is what the scholar, the university and the academic community rely upon. Outsourcing this to AI — with only cosmetic modifications — is a form of intellectual dishonesty and misrepresentation of authorship.
Accountability means owning both the process and outcome of one's decisions. Ph.D. evaluation shapes a scholar's career; AI can hallucinate references, misjudge originality and reflect algorithmic bias. If challenged, the professor cannot defend a report he did not truly author.
Ethical way forward: AI may be used as a supportive tool (grammar, cross-checks), but substantive evaluation, reasoning and recommendation must remain human. Institutions must issue clear AI-use disclosure norms, mirroring UGC's academic-integrity framework.
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