As artificial intelligence becomes an integral part of education and society, students must develop critical awareness of its ethical implications and biases. AI models are not neutral; they reflect the data, values, and assumptions programmed within them—sometimes increasing biases and making ethically questionable decisions. In this session, we will explore practical strategies to help students recognize and critically engage with the ethical risks of AI. From analyzing biased AI outputs to discussing consequences of algorithmic decision-making, educators will gain concrete ideas for promoting responsible AI literacy. Attendees will leave with activities and discussion prompts designed to help students think deeply about AI’s role in shaping fairness, and accountability. Much of this information is based on a course I will be teaching this fall at a Canadian university titled “Navigating AI”.