Practice Case Study 3: Predictive Policing And Judicial Systems – The Risk Of Reinforcing Injustice (4.2.3)
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Case Study 3: Predictive Policing and Judicial Systems – The Risk of Reinforcing Injustice

Practice - Case Study 3: Predictive Policing and Judicial Systems – The Risk of Reinforcing Injustice

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is predictive policing?

💡 Hint: Think about how police can use data to prevent crime.

Question 2 Easy

Define algorithmic bias.

💡 Hint: Consider what happens when data is skewed.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is predictive policing primarily used for?

To arrest individuals
To forecast criminal activity
To train officers

💡 Hint: Consider the purpose of using data in law enforcement.

Question 2

True or False: Algorithmic bias can reinforce existing social inequalities.

True
False

💡 Hint: Think about the consequences of flawed data.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Discuss how you would design an AI system for predictive policing that minimizes bias. Consider data sources, algorithm choice, and transparency measures.

💡 Hint: Think of how to represent all communities fairly.

Challenge 2 Hard

Critique a hypothetical case where an algorithm recommended increased police presence based solely on historical crime data. What are the potential consequences?

💡 Hint: Consider broader societal impacts beyond immediate outcomes.

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Reference links

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