Academic integrity and AI

Schools and workplaces are rewriting rules for when AI help is allowed, limited, or banned. Academic integrity means honest credit for your work and clear disclosure when tools assisted.

Misusing AI can mean failed courses, lost jobs, or eroded trust. Using AI *with* permission can be a legitimate learning aid—policy is the line.

• Institutions publish AI-use syllabi and honor-code updates.
• Detection tools exist but are imperfect (false positives/negatives).
• Employers care about judgment and verification, not only polished prose.

• Read the syllabus / employer policy first.
• Disclose AI assistance when required.
• You remain responsible for facts, citations, and originality rules.
• “The model wrote it” is not a defense for plagiarism or fabricated sources.

• No advice on cheating, evading detectors, or fabricating citations.

Ask your instructor what is permitted. Practice outlining yourself, then use AI only in allowed ways (e.g., explain a concept), and verify every claim.

⚠️ Myth: Detectors are courtroom-perfect.

✓ Reality: They err; process and honesty still matter.

⚠️ Myth: If AI is everywhere, integrity rules are obsolete.

✓ Reality: Rules are adapting, not disappearing.

• Your institution’s published AI policy (primary)
• Course 08 hallucinations / verification
• Elements of AI ethics framing: https://www.elementsofai.com/ ↗