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AI/Predictive Policing 1. AI/Predictive Policing is a technology that uses data and analytics to predict where crimes are likely to occur and who is likely to commit them. 2. AI/Predictive Policing is used by law enforcement agencies to target resources and investigate crimes. 3. AI/Predictive Policing has been criticized for potential biases and privacy concerns. Details: Detail 1: AI/Predictive Policing is a technology that uses data and analytics to predict where crimes are likely to occur and who is likely to commit them. Detail 2: AI/Predictive Policing is used by law enforcement agencies to target resources and investigate crimes. Detail 3: AI/Predictive Policing has been criticized for potential biases and privacy concerns. Use: Use 1: AI/Predictive Policing is used by law enforcement agencies to target resources and investigate crimes. Use 2: AI/Predictive Policing is used by prosecutors to identify potential cases and build cases against defendants. Use 3: AI/Predictive Policing is used by probation and parole officers to monitor offenders and identify potential risks. Issues: Issue 1: AI/Predictive Policing has been criticized for potential biases and privacy concerns. Issue 2: AI/Predictive Policing may disproportionately impact certain groups of people. Issue 3: AI/Predictive Policing may lead to increased surveillance of certain areas Explanation: Explanations: What is AI/Predictive Policing ?  AI/Predictive Policing is a technology that uses data and analytics to predict where crimes are likely to occur and who is likely to commit them. AI/Predictive Policing is used by law enforcement agencies to target resources and investigate crimes. AI/Predictive Policing has been criticized for potential biases and privacy concerns. How does AI/Predictive Policing work?  AI/Predictive Policing uses data and analytics to predict where crimes are likely to occur and who is likely to commit them. AI/Predictive Policing is used by law enforcement agencies to target resources and investigate crimes. What are the benefits of AI/Predictive Policing?  AI/Predictive Policing can help law enforcement agencies target resources and investigate crimes. AI/Predictive Policing can also help prosecutors identify potential

cases and build cases against defendants. AI/Predictive Policing can also help probation and parole officers monitor offenders and identify potential risks. What are the potential risks of AI/Predictive Policing?  AI/Predictive Policing has been criticized for potential biases and privacy concerns. AI/Predictive Policing may disproportionately impact certain groups of people. AI/Predictive Policing may lead to increased surveillance of certain areas. Explanations: Details AI/Predictive Policing is a technology that uses data and analytics to predict where crimes are likely to occur and who is likely to commit them. AI/Predictive Policing is used by law enforcement agencies to target resources and investigate crimes. AI/Predictive Policing has been criticized for potential biases and privacy concerns. Detail 1: AI/Predictive Policing is a technology that uses data and analytics to predict where crimes are likely to occur and who is likely to commit them. This technology is based on the theory that past data can be used to predict future patterns. Detail 2: AI/Predictive Policing is used by law enforcement agencies to target resources and investigate crimes. For example, if a police department knows that a particular type of crime is likely to occur in a certain area, they can target their resources to that area. Additionally, if law enforcement has a suspect in mind for a crime, they can use AI/Predictive Policing to investigate that person. Detail 3: AI/Predictive Policing has been criticized for potential biases and privacy concerns. Some people believe that AI/Predictive Policing is biased against certain groups of people, such as minorities. Additionally, there are concerns that AI/Predictive Policing will lead to increased surveillance of certain areas. Explanation: uses Use 1: AI/Predictive Policing is used by law enforcement agencies to target resources and investigate crimes. Detail 1: Law enforcement agencies can use AI/Predictive Policing to target resources to areas where crimes are likely to occur. This can help to prevent crimes from happening. Detail 2: Law enforcement agencies can also use AI/Predictive Policing to investigate crimes. For example, if a police department has a suspect in mind for a crime, they can use AI/Predictive Policing to investigate that person. Detail 3: AI/Predictive Policing can help law enforcement agencies to solve crimes. For example, if a crime has been committed in an area that is being surveillance by AI/Predictive Policing, the data collected by the AI/Predictive Policing system can be used to help identify the culprit. Use 2: AI/Predictive Policing is used by prosecutors to identify potential cases and build cases against defendants. Detail 1: Prosecutors can use AI/Predictive Policing to identify potential cases. For example, if a prosecutor knows that a particular type of crime is likely to occur in a certain area, they can target their resources to that area.

Detail 2: AI/Predictive Policing can also be used by prosecutors to build cases against defendants. For example, if a prosecutor has a suspect in mind for a crime, they can use AI/Predictive Policing to investigate that person. Detail 3: AI/Predictive Policing can help prosecutors to win cases. For example, if a crime has been committed in an area that is being surveillance by AI/Predictive Policing, the data collected by the AI/Predictive Policing system can be used to help prove the guilt of the defendant. Use 3: AI/Predictive Policing is used by probation and parole officers to monitor offenders and identify potential risks. Detail 1: Probation and parole officers can use AI/Predictive Policing to monitor offenders. For example, if an offender is released from prison and is being monitored by AI/Predictive Policing, the system can help to identify if the offender is likely to commit a crime. Detail 2: AI/Predictive Policing can also be used by probation and parole officers to identify potential risks. For example, if an offender is released from prison and is being monitored by AI/Predictive Policing, the system can help to identify if the offender is likely to commit a crime. Detail 3: AI/Predictive Policing can help probation and parole officers to keep the community safe. For example, if an offender is released from prison and is being monitored by AI/Predictive Policing, the system can help to identify if the offender is likely to commit a crime. If the offender is likely to commit a crime, the probation and parole officers can take steps to prevent the crime from happening. Explanations: Issues Issue 1: AI/Predictive Policing has been criticized for potential biases and privacy concerns. Detail 1: Some people believe that AI/Predictive Policing is biased against certain groups of people, such as minorities. The concern is that AI/Predictive Policing will lead to increased surveillance of these groups. Detail 2: There are also privacy concerns associated with AI/Predictive Policing. Some people believe that this technology will lead to increased surveillance of certain areas. Additionally, there are concerns that the data used for AI/Predictive Policing could be used to unfairly target certain groups of people. Detail 3: There is currently no regulation of AI/Predictive Policing. This means that there is no oversight of how this technology is used. This could lead to abuse of AI/Predictive Policing by law enforcement agencies. Issue 2: AI/Predictive Policing may disproportionately impact certain groups of people. Detail 1: AI/Predictive Policing may have a disproportionate impact on minority groups. This is because these groups are more likely to be targeted by law enforcement. Additionally, minority groups are more likely to live in areas that are being surveillance by AI/Predictive Policing. Detail 2: AI/Predictive Policing may also have a disproportionate impact on low-income people. This is because low-income people are more likely to live in areas that are being surveillance by AI/Predictive Policing. Additionally, low-income people are more likely to be targeted by law enforcement. Detail 3: AI/Predictive Policing may have a disproportionate impact on people with mental illness. This is because people with mental illness are more likely to be targeted by law

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enforcement. Additionally, people with mental illness are more likely to live in areas that are being surveillance by AI/Predictive Policing. Issue 3: AI/Predictive Policing may lead to increased surveillance of certain areas. Detail 1: AI/Predictive Policing may lead to increased surveillance of minority communities. This is because these communities are more likely to be targeted by law enforcement. Additionally, minority communities are more likely to live in areas that are being surveillance by AI/Predictive Policing. Detail 2: AI/Predictive Policing may also lead to increased surveillance of low-income communities. This is because low-income communities are more likely to live in areas that are being surveillance by AI/Predictive Policing. Additionally, low-income people are more likely to be targeted by law enforcement. Detail 3: AI/Predictive Policing may lead to increased surveillance of communities with mental illness. This is because people with mental illness are more likely to live in areas that are being surveillance by AI/Predictive Policing. Additionally, people with mental illness are more likely to be targeted by law enforcement. Sources: 1. https://www.aclu.org/issues/smart-justice/policing/what-predictive-policing 2. https://www.cnn.com/2019/06/24/us/predictive-policing-explained-bn/index.html 3 .Asaro, P. M. (2019). AI ethics in predictive policing: From models of threat to an ethics of care. IEEE Technology and Society Magazine , 38 (2), 40-53. 4.Landers, R. N., & Behrend, T. S. (2022). Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models. American Psychologist .

170_wk10_assignment

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