Location: MGC 128 or Join this session virtually
Presenters: Jennifer Steele (Professor, School of Education) & Phelton Moss (Senior Professorial Lecturer, School of Education)
Time: 9:15 AM – 10:30 AM
Session Description
AI threatens to increase labor market inequality with its rapid-fire mimic of human patterns, unless we help students understand its precocity and limitations. Through small-group strategizing around AI-informed pedagogy, this interactive session considers how to help students leverage AI toward social equality.
Learning Outcome
- Explain how generative AI works broadly, and why it differs from previous waves of workforce automation to explore how it will impact social equality
- Analyze tools and resources used in the class to recognize what students can learn from generative AI’s pattern-recognition and types of mistakes
- Develop AI-informed discipline-specific pedagogy to support students in their use of AI for social equity
Watch a short introduction to the session topic:
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