Reason through the ethical implications of AI use

Fairness, transparency, accountability, honesty and dignity.

Key ideas

Fairness and bias

Watch for proxies (postcode, graduation year, “culture fit”) that encode protected characteristics. Use job-related criteria and monitor outcomes.

Transparency

Tell people when they are interacting with an AI assistant and how to reach a person; label AI-generated imagery as illustrative.

Accountability

People who approve and publish remain responsible for AI-assisted work.

Honesty

Public statements, appeals and recall notices must be accurate. Don't let wording imply what isn't true.

Vulnerable groups and dignity

Assess impact before decisions affecting vulnerable people, involve people with lived experience in reviewing sensitive content, and avoid language that strips people of agency.

Common traps

• “It raises more money, so it's fine.”
• “Make the implication subtler so it's not technically false.”