AI Policy & Ethics
How can ethical principles become decisions that educators can explain and act on? I review work on AI governance, human agency, accountability, academic integrity, and the choices institutions make about educational technologies.
The collection connects broad policy debates with practical questions about teaching and professional responsibility. It asks who is affected, who can challenge a decision, and what meaningful oversight requires.
MY BOOK · FOR EDUCATORS
Teaching with AI
Explore my practical guide to AI literacy, thoughtful lesson design, and ethical classroom use.
What you can learn from this research
Use these questions to find a starting point. Each theme connects an idea with a practical question for your work.
Recognizing ethical issues
Who could be affected by this use of AI?
Begin with a realistic case. Identify the people involved and the questions of privacy, fairness, transparency, or agency that the case raises.
Comparing possible actions
What makes one response more defensible than another?
Compare alternatives and their consequences. Ask learners to connect their reasoning to relevant principles and the circumstances of the case.
Putting principles into practice
What would responsible action look like here?
Move from discussion to a proposed procedure, revised workflow, or safeguard. Explain how it responds to the problem and how its use could be reviewed.
Meaningful human oversight
Who retains the authority to question or change a decision?
Make the division of responsibility explicit. Examine whether people have enough understanding and opportunity to evaluate outputs before acting on them.
Explore the research and resources
Browse my reviews and resources below to explore these ideas further and follow the sources behind them.
