FICHES PÉDAGOGIQUES
Teachers got talent: Stereotypes and biases in AI - a hands-on activity
Fiche pédagogique
Type d'enseignement
Ordinaire
Section
Secondaire
Responsable du projet
Steffen Bach
sh@randersstatsskole.dk
Public cible
Jeunes enfants
Description
The exercise is part of a longer course - Digital Foundation Course - that students follow during their first months at our school. The course aims to give students a solid foundation for understanding the digital world they are part of, as well as provide insight into the digital opportunities available as part of their education. This particular activity demonstrates the presence of stereotypes and biases in artificial intelligence.
Objectifs
- To give students insight into stereotypes and bias in artificial intelligence, and why it is important for them to be aware of this when searching for materials and knowledge.
Compétences développées
- Awareness of stereotypes and biases in AI.
Déclinaisons possibles
You can work with a wide range of stereotypes and biases. Similarly, you can explore different AI models and examine their built-in stereotypes and biases.
Conseils du créateur
Kate Crawfords keynote on the trouble with bias at The Thirty-First Annual Conference on Neural Information Processing Systems (NIPS) 2017: Title on Youtube: 'The Trouble with Bias - NIPS 2017 Keynote - Kate Crawford'. Link: https://www.youtube.com/watch?v=fMym_BKWQzk