Creative & Data-Smart Youth Work with AI: Inclusion, Participation, Impact
Erasmus+ Training Course in Berlin, Germany
December 15-22, 2025
AI systems already shape what young people see, learn, and believe. Youth workers need practical AI literacy, a clear grasp of risks (bias, privacy, deepfakes), and concrete safeguarding protocols. Berlin’s vibrant tech and civil-society scene offers an ideal ecosystem for learning with real cases and responsible-innovation actors.
Objectives
- Build AI literacy: demystify how common AI models work (recommendation, LLMs, vision), where they help/harm, and how to explain them to teens.
- Embed ethics & safety: address bias, transparency, privacy/GDPR, deepfake detection, and age-appropriate use policies.
- Strengthen safeguarding: design protocols for consent, data minimisation, digital wellbeing, and crisis escalation in AI-enabled settings.
- Create ready-to-use resources: lesson plans and guidelines youth workers can deploy immediately.
Core Activities
- AI 101 for Youth Work: hands-on demos (chatbots, image tools), “how it works” visual walkthroughs, and myth-busting.
- Bias & Fairness Lab: test prompts/datasets, observe skewed outputs, and apply mitigation tactics; build a short “ethics checklist.”
- Deepfakes & Misinformation Studio: verify images/videos, watermarking basics, detection tools, and classroom simulations.
- Policy & Practice Clinic: draft an AI Use & Safeguarding Policy for youth centres (consent, age gating, logging, red lines).
- Stakeholder Roundtable (Berlin): dialogue with a local NGO/ethics lab on responsible AI in education/youth contexts.
- Daily reflections & feedback sprints to keep learning adaptive.
Expected Results & Impact
- Toolkit: AI literacy lesson plans, a bias-check checklist, deepfake-verification guide, and a model AI Safeguarding Policy.
- Youthpass-documented competences in digital literacy, ethics, and risk management.
- Implementation plans: each participant leaves with a 3–6 month roadmap to roll out AI literacy sessions safely.
Working language: English
Travel costs: Travel expenses to and from Berlin will be reimbursed. The reimbursement amount is subject to prior confirmation by the coordinator. Green travel options (such as train, bus, or carpooling) are preferred and encouraged where possible.
Travel costs: Travel expenses to and from Berlin will be reimbursed. The reimbursement amount is subject to prior confirmation by the coordinator. Green travel options (such as train, bus, or carpooling) are preferred and encouraged where possible.
Accommodation: Accommodation costs are covered. During the training course, participants will stay at Copernicus Berlin Campus in Mitte, in shared apartments.
Meals: Each participant will receive a €70 allowance to cook together in the apartments, fostering intercultural exchange through shared culinary experiences.
Travel flexibility: Participants may arrive up to 2 days earlier or stay up to 2 days longer to explore Berlin at their own expense.
Facilitator
Meet the facilitator who will lead and support you throughout the event.
Aleksandr Rasskazchikov
Chief Technology Officer, Copernicus Berlin e.V.
Partners
Our partners collaborated closely with us in every stage of the project - from planning to implementation -
bringing valuable experience, resources, and dedication.
