We hope you enjoyed the information on machine learning approaches – supervised learning, unsupervised learning, and reinforcement learning – as well as the potential social and ethical issues that can arise from machine learning models. Now we ask you to take some time to reflect on what you have learned, discuss with other students, and further develop your critical thinking skills. Explain your answer as thoroughly as possible and use the technical terms you learned in this module.

- Technical Facts: How can recommendation systems provide personalized content tailored to users’ interests?
- Social and Ethical Questions: What social issues can arise from the use of recommendation systems? Who are the main groups affected?
- Risk Mitigation Strategies: What strategies exist to reduce or limit these risks?
- Conclusion: In your opinion, what measures should you or others take to reduce these social issues?