Explore the hidden biases and potential pitfalls of AI in this essential session for educators. Learn about the sources of bias in AI systems, how these biases can result in misleading information or reinforce harmful stereotypes, and their implications in educational settings where fairness and equity are critical. This session will focus on understanding, identifying, and mitigating bias in AI-generated outputs, providing practical strategies to ensure responsible and ethical AI use in the classroom. Leave equipped with the knowledge to become a more discerning and effective user of AI in education.Workshop materials:
- Worksheet: link
- Slide deck: link
- AI Reflection | Thought Architecture Tool: link