Futuristic Wilderness
Participants will learn how AI supports wildlife conservation by analyzing animal tracks, speeding up data collection, and improving migration tracking and management.
In this activity, participants learn how AI systems use data and how mistakes or bias can happen if the data is incomplete or unbalanced. They will look at examples of AI making decisions, notice errors or unfair patterns, and talk about why they matter. Through hands-on activities and discussions, they will explore ways to provide more complete and diverse data to help AI make fairer and more accurate choices, understanding how humans play an important role in shaping how AI behaves.