Treści AI a uczciwość akademicka

Uczelnie tworzą zasady dla tekstu AI — studenci muszą je znać.

How universities are responding

Policies now range from blanket bans on generative AI in assessments to conditional use with mandatory disclosure. Read your syllabus and honour code — assumptions are risky.

Disclosure standards

When permitted, describe which tasks AI assisted (brainstorming, grammar, translation) and which models you used. Transparency lets evaluators judge your actual contribution.

Integrity risks beyond detection

• Submitting unverified AI claims as facts
• Losing learning by outsourcing analysis
• Violating confidentiality by pasting private data into tools
• Recycling AI output without disclosure (a form of misrepresentation)

Conclusion

AI can support learning when policies allow it — but disclosure, verification, and human authorship remain central to academic integrity.