Stereo-tips
A preliminary version of online content for secondary school teachers who are learning about stereotypes and bias using AI in the classroom.
Lucey BANNER (Media qualification designer and teacher trainer, UK), Laurence GAIFFE ( Lille School of Journalism, France), Adeline SÉGUI ENTRAYGUES (Montpelleir University, France) & Chloé TRAN PHU (Média Animation, Belgium).
Concept
Stereo-tips is a project of online platform for secondary school teachers who are learning about stereotypes and bias using AI in the classroom.
At this stage, the toolkit is not ready for immediate use. The objectives and learning sequences have been outlined, as well as what could become the toolkit’s future content. However, the modules and exercices still need to be created or completed. The activity is currently at the conceptual stage and does not yet exist as a finished resource. Nevertheless, it serves as a useful “table of contents” and a source of inspiration for teachers who wish to address stereotypes and biases generated by AI in information.
Priority
Priority 2: Addressing AI-Generated Biases and Ethical/Deontological Implications
Objectives
The aim is to provide teachers with tools to strengthen their teaching of stereotypes and bias using AI.
Target group
Teachers in secondary schools and media literacy educators
Modalities: steps and instructions
The online platform would be composed into 6 modules:
Module 1: Stereotypes & bias in AI – an introduction
Module 2: Representation of jobs
Module 3: Representation of relationships
Module 4: Representation of historical context
Module 5: Representation of identity
Module 6: Representation of culture & place
At this stage, only the module 1 content had been developed.
This module “Stereotypes & bias in AI” would be divided into 4 steps.
Step 1: Resources for teachers
3 examples of activities are provided.
Step 2: Resources for teachers
1 example of activity based on a video.
Step 3: Tips are given to plan a introductory lesson
1 example of activity
