IV. Discussion
Completion requirements
II. Development of the model
Discussion
! We hope you enjoyed learning about supervised machine learning and the potential ethical issues that can arise from machine learning models. Please now return to the original questions and provide a new answer based on what you have learned in this module. Explain your answer as thoroughly as possible and use the technical terms you have learned in this module.
- Technical facts: How can a machine learning model predict whether a patient has a particular disease? What limitations and constraints might such ML models have?
- Social and ethical questions: What social and ethical impacts could result from such limitations? Which group of people might be most affected?
- Risk mitigation strategies: What strategies are available to reduce or limit these risks?
- Conclusion: In your opinion – what measures should you or others take to reduce these problems?
- Technical facts: How can a machine learning model predict whether a patient has a particular disease? What limitations and constraints might such ML models have?
- Social and ethical questions: What social and ethical impacts could result from such limitations? Which group of people might be most affected?
- Risk mitigation strategies: What strategies are available to reduce or limit these risks?
- Conclusion: In your opinion – what measures should you or others take to reduce these problems?