Algorithmic Challenges. An Educational Framework for AI & Ethics Literacy

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" summary

An educational framework trains 12 classes in southern Italy over eight-hour modules using civics time, questionnaires and classroom exercises that pit students against ChatGPT to expose automation bias and practice lateral reading fact‑checking. The program pairs data awareness and argumentation drills with simple dopamine‑fasting tactics and promotes “responsibility by design” for future engineers who will train algorithms. Two industry paths emerge: a low‑cost networking governance model and a paid ethical‑counseling team for dataset auditing, aligned with Europe’s Trustworthy AI principles and the AI Act.

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" chapters (15)

1. 0:00Introduction
2. 1:48Research project goals
3. 3:11Mathematical models risks
4. 4:59AI in education challenges
5. 7:10European AI Act guidelines
6. 10:04Responsibility by design
7. 13:14Pidea model integration
8. 16:29AI and ethics literacy necessity
9. 17:13Educating AI developers
10. 18:18AI literacy classroom practices
11. 22:35Fieldwork in Italy
12. 24:24Ethical counseling in industries
13. 27:39Ethical AI governance models
14. 28:21Education and political tools
15. 29:28Conclusion