Michigan Public Policy Survey Questions and Data Tables

Q27c.  To what extent does your office make use of third-party video data (e.g., Ring doorbell video, cell phone video from miscellaneous eyewitnesses, etc.)? 

Q27d.  To what extent does your office make use of data from forensic analysis of defendants’ cell phones (e.g., Cellebrite) ?   

Q27e.  To what extent does your office make use of facial recognition technology? 

Q28a.   Now thinking about the resources required to process and review digital evidence and to use it effectively in prosecutions, to what extent do you feel reviewing digital evidence is a problem, or not, for your office?

Q28b.   Now thinking about the resources required to process and review digital evidence and to use it effectively in prosecutions, to what extent do you feel redacting digital evidence is a problem, or not, for your office?

Q28c.   Now thinking about the resources required to process and review digital evidence and to use it effectively in prosecutions, to what extent do you feel producing digital evidence in discovery is a problem, or not, for your office?

Q28d.   Now thinking about the resources required to process and review digital evidence and to use it effectively in prosecutions, to what extent do you feel presenting digital evidence in court is a problem, or not, for your office?

Q30.    In some places, automated tools are used to make decisions about public safety risks that in the past were made by humans. For example, software tracking and keywords may be used to monitor social media for events where a crime might happen. In your opinion, are the decisions made by these tools (such as AI and machine learning) generally more or less accurate than those made by humans?

Q31a.   How much would you personally trust the results of using automated tools (such as AI and machine learning) for police departments monitoring social media for events where a crime might happen?

Q31b.   How much would you personally trust the results of using automated tools (such as AI and machine learning) for police departments identifying high-risk neighborhoods?

Q31c.   How much would you personally trust the results of using automated tools (such as AI and machine learning) for Assistant Prosecutors writing legal briefs?

Q31d.   How much would you personally trust the results of using automated tools (such as AI and machine learning) for processing and analyzing forensic evidence?

Q31e.   How much would you personally trust the results of using automated tools (such as AI and machine learning) for risk assessments for sentencing and offers of parole, probation, or release?

Q32a.    Does your office share summary statistics and other performance data on prosecutions with   your county's Board of Commissioners?

Q32b.    Does your office share summary statistics and other performance data on prosecutions with residents in your county?

Q32c.    Does your office share summary statistics and other performance data on prosecutions with the media?

Q33a.   Regardless of whether summary statistics and other performance data on your office’s casework or case outcomes are currently shared, how confident are you that your county's Board of Commissioners could correctly interpret data on prosecutions?

Q33b.   Regardless of whether summary statistics and other performance data on your office’s casework or case outcomes are currently shared, how confident are you that residents in your county  could correctly interpret data on prosecutions?

Q33c.   Regardless of whether summary statistics and other performance data on your office’s casework or case outcomes are currently shared, how confident are you that the media could correctly interpret data on prosecutions?

Q34a.   To what extent, if any, would you say that dedicating the necessary personnel to manage data  is a problem that your office faces, or will face, in its collection and use of performance data?

Q34b.   To what extent, if any, would you say that the time required to collect data  is a problem that your office faces, or will face, in its collection and use of performance data?

Q34c.   To what extent, if any, would you say that the ability to make sense of data (e.g., interpreting trends, comparing to other jurisdictions, etc.)   is a problem that your office faces, or will face, in its collection and use of performance data?

Q34d.   To what extent, if any, would you say that the ability to implement change in response to data findings is a problem that your office faces, or will face, in its collection and use of performance data?

Q34e.   To what extent, if any, would you say that protecting confidentiality   is a problem that your office faces, or will face, in its collection and use of performance data?

Q34f.   To what extent, if any, would you say that producing specific data when needed (e.g., responding to reporters’ requests, applying for grants, etc.)   is a problem that your office faces, or will face, in its collection and use of performance data?