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1. Introduction

2. Instead of a Conclusion: Seven Lessons for the Present and an Outlook

3. Relationships

4. Practices

5. Environments

6. Ethical Foundations: Medical Ethics and Data Ethics

7. Artificial Intelligence: In Search of a Definition

8. MAI: A Very Short History and the State of the Art

9. Engineering an Ethical Ethos: Reframing Ethics Education for Engineers and Researchers

10. Philosophy in the Rainforest: Reflections on Integrating Philosophy and Fieldwork

11. Building Inclusive Cultures Through Community Research

12. In Situ Ethics Education Within Research Laboratories: Insights into the Ethical Issues Important to Research Groups and Educational Approaches

13. Tinkering with Technology: How Experiential Engineering Ethics Pedagogy Can Accommodate Neurodivergent Students and Expose Ableist Assumptions

14. At the Verge of ‘Is’ and ‘Could Be’: Storytelling as Medium to Develop Critical Ethical Skills

15. Ethics Education in STEM in Eastern Europe, Moral Development or Professional Education?

16. Inclusivity in the Education of Scientific Imagination

17. Encouraging Transparency in Lab Safety via Teachable Moments and Positive Feedback

18. Engineering Ethics Education in China: Development, Promoters, and Challenges for the Future

19. Ethics Education in Science, Technology, Engineering and Mathematics (STEM) in Africa: A Reflection on the Successes, Failures and the Way Forward in the Era of a Global Pandemic

20. Character Comes from Practice: Longitudinal Practice-Based Ethics Training in Data Science

21. A Framework for STEM Ethics Education in South Africa: Holding Values Paramount

22. Social Responsibility and Ethics in STEM Education: The State of the Field

23. Building Ethical Awareness Using Culturally Relevant Practices in STEM Departments

24. Developing an Ethics Credential for Undergraduate STEM Majors

25. Building Inclusive Ethical Cultures in STEM

26. Embedding Moral Reasoning and Teamwork Training in Computer Science and Electrical Engineering

27. Ethics Education in Engineering and Technological Institutes in India: Challenges and Looking Forward

28. Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System

29. Recommender Systems, Manipulation and Private Autonomy: How European Civil Law Regulates and Should Regulate Recommender Systems for the Benefit of Private Autonomy

30. Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation

31. Digital Labor as a Structural Fairness Issue in Recommender Systems

32. Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy

33. Recommending Ourselves to Death: Values in the Age of Algorithms

34. Factors Influencing Trust and Use of Recommendation AI: A Case Study of Diet Improvement AI in Japan

35. Black Hole Instead of Black Box?: The Double Opaqueness of Recommender Systems on Gaming Platforms and Its Legal Implications

36. Introduction: Understanding and Regulating AI-Powered Recommender Systems

37. Recommender Systems and Discrimination

38. From Algorithmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation

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