The Student, the Essay Mill and the Confession
A university philosophy department discovers that 14 of 300 submitted essays contain passages generated by an AI tool. The department's policy says plagiarism results in automatic failure and a misconduct record. A tutor, Dr Okafor, interviews one student, Lena, who admits she used the tool to draft her introduction and then rewrote it. She says she did not know this counted as plagiarism because the policy was written before generative AI existed and never mentions it. Lena is a first-year student, the first in her family to attend university, and holds a scholarship that would be revoked by a misconduct record. Dr Okafor believes the other 13 cases are more blatant.
1. Should Dr Okafor apply the automatic penalty to Lena? Answer using virtue ethics, specifying the virtues at stake.
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A virtue-ethics analysis asks what a person of practical wisdom would do, and which character traits the decision expresses.
Virtues in tension:
- Justice: the policy exists to protect the integrity of assessment. If Lena's work is not her own, other students are disadvantaged. Justice also demands consistency - 13 other cases exist.
- Equity or fairness of application: a rule that was never communicated cannot be applied as though it had been. Applying a retrospective rule to a first-year who could not have known is arguably unjust in Aristotle's sense of treating like cases alike only where the cases are genuinely alike.
- Compassion and epieikeia (equity): Aristotle's corrective virtue for when a general law fails on a particular case. The law's purpose - honest assessment - is not clearly defeated by a rewritten introduction.
- Honesty and integrity: Lena confessed. A response that punishes confession more harshly than silence corrodes the honesty the department says it values.
- Practical wisdom: the tutor must weigh the scholarship's severity against the need for a deterrent signal.
A defensible verdict: Dr Okafor should not apply the automatic penalty, but should impose a proportionate sanction - resubmission with a viva, a mark penalty, and a recorded warning - and should recommend the department publish AI rules immediately. The virtue framing matters because it directs attention to what kind of academic community the decision builds, not only to Lena's desert.
A strong answer acknowledges the counter-argument: compassion can become favouritism, and the scholarship is a sympathetic detail that should not become a licence.
2. Lena argues she is not morally blameworthy because she did not know the rule. Assess this claim using the distinction between excuse and justification.
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Justification says the act was right; excuse says the agent is not fully responsible. Lena is offering an excuse, not a justification - she concedes the work was partly generated but denies culpability.
For an excuse of ignorance to succeed, three conditions are usually needed: the ignorance must be genuine, the agent must not be culpable for the ignorance, and the act must not be one that any reasonable person would recognise as wrong.
- Genuine? She admits the conduct, so the factual ignorance is plausible.
- Non-culpable? This is the weak point. Students are generally expected to know that submitting others' words as their own is dishonest, even if the specific AI rule is new. 'I didn't know the policy mentioned AI' is different from 'I didn't know it was wrong to submit writing I did not compose.'
- Reasonable person? A first-year from a family with no university background may have a genuinely thinner understanding of academic norms. This is a mitigating factor, not a full exculpation.
A strong answer distinguishes factual ignorance (what the policy says) from moral ignorance (whether it is wrong to pass off generated prose). The first excuses the specific penalty; the second does not fully excuse the conduct. The fair outcome is reduced blame, not zero blame, and a duty on the institution to have communicated the norm.