BridgeAI – Syllabus
Module 2 – AI for Social Inclusion
Exploring how AI can support accessibility and inclusion for diverse learners and communities.
- AI-powered accessibility tools
- Case studies with marginalised groups
- Hands-on testing of inclusive AI tools
Module developed by:
Fthia in Action (Greece)
Introductory Video
Watch this short video for an overview of the module’s goals, key themes, and learning approach.
Module Presentation
This slide deck introduces the main concepts, structure, and activities of the module.
It can be used by trainers/teachers to guide the sessions.
- Module 2 – AI for Social Inclusion (Presentation)
– Download (PDF)
Lesson Plans
Detailed lesson plans to implement the module in formal or non-formal educational settings.
- Lesson Plan 1: When AI Removes Learning Barriers
– Download (PDF) - Lesson Plan 2: AI for Social Inclusion
– Download (PDF) - Lesson Plan 3: Does AI Help Everyone Belong?
– Download (PDF)
Practical Exercises & Supporting Materials
These interactive activities help learners analyse existing civic AI tools, design their own ideas, and create simple prototypes.
- Exercise 1: Same Task, Different Experience
– Download (PDF) - Exercise 2: Who Is Left Out? Finding Inclusive AI Solutions
– Download (PDF) - Exercise 3:Who Feels Included? Who Does Not?
– Download (PDF)
Key Learning Outcomes
- Understand how AI can support social inclusion and reduce barriers in education and society.
- Identify AI tools and applications that promote accessibility for diverse and marginalized learners.
- Recognize potential risks of exclusion and bias in AI systems and how to address them.
- Apply inclusive AI practices in educational and civic contexts.
- Reflect on the role of educators in ensuring equitable and responsible use of AI.