BridgeAI – Syllabus
Module 4 – Ethics, Diversity and Human Rights in AI
Addressing fairness, transparency, representation and the impact of AI on democracy and rights.
- Key ethical principles in AI
- Diversity and representation in datasets
- Debate on AI in elections and public decision-making
Paradisskolan (Sweden)
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 4 – Ethics, Diversity and Human Rights in AI (Presentation)
– Download (PDF)
Lesson Plans
Detailed lesson plans to implement the module in formal or non-formal educational settings.
- Lesson Plan 1: Ethical AI: Principles in Practice
– Download (PDF) - Lesson Plan 2: Inclusive AI: Making AI Work for Everyone
– Download (PDF) - Lesson Plan 3: AI and Democracy: Balancing Power and Ethics
– 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: AI Ethics Detective
– Download (PDF) - Exercise 2: Bias & Representation in AI
– Download (PDF) - Exercise 3: Should AI Make Public Decisions?
– Download (PDF)
Key Learning Outcomes
- Understand key ethical principles related to the development and use of AI.
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Explain how issues of diversity, bias, and representation affect AI systems.
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Identify risks to human rights, democracy, and equality linked to AI technologies.
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Analyze real-life cases involving ethical dilemmas and AI decision-making.
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Promote responsible, fair, and human-centered approaches to AI in education and society.