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I need help with answering questions 1-4 please.

I need help with answering questions 1-4 please.

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I need help with answering questions 1-4 please. 

166 ETHICAL MODELLING Discussion 8 The dean of your university has learned of your excellent data science skills and asks you to set up a new project. She wants to predict which students will end up in 'good' positions after graduating. This prediction model can then be used to identify high-potential students and provide them with additional 'extra credit' courses and personal mentoring. 1. What would be different definitions for ending up in a 'good' posi- tion? 2. How might bias against foreign students or women enter into the dataset, and the model? How would you assess the fairness of the prediction model? justice virtue 3. Would an explanation of a prediction be needed for the students? And if so, what kind of explanation (approach) would you prefer to provide to a student? 4. Suppose the dean wants to collaborate with other universities in order to improve the accuracy of the prediction model, by using the data of students across different universities. Which of the privacy-enabling methods of Section 4.1 would you deem most suited to do so? Defend it
Transcribed Image Text:166 ETHICAL MODELLING Discussion 8 The dean of your university has learned of your excellent data science skills and asks you to set up a new project. She wants to predict which students will end up in 'good' positions after graduating. This prediction model can then be used to identify high-potential students and provide them with additional 'extra credit' courses and personal mentoring. 1. What would be different definitions for ending up in a 'good' posi- tion? 2. How might bias against foreign students or women enter into the dataset, and the model? How would you assess the fairness of the prediction model? justice virtue 3. Would an explanation of a prediction be needed for the students? And if so, what kind of explanation (approach) would you prefer to provide to a student? 4. Suppose the dean wants to collaborate with other universities in order to improve the accuracy of the prediction model, by using the data of students across different universities. Which of the privacy-enabling methods of Section 4.1 would you deem most suited to do so? Defend it
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