Michigan Public Policy Survey Questions and Data Tables

Q27a.     To what extent does your office make use of police video data (e.g., dashboard and body cameras)?

Q27b.  To what extent does your office make use of other public surveillance video data (e.g., cameras on buildings/streetlights, automated license plate readers, etc.)? 

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?

Q39a.  Regardless of whether or not various systems are currently in place to address law enforcement misconduct, to what extent would you support or oppose a nationwide and/or statewide database identifying law enforcement officers with misconduct charges or job terminations, accessible only to law enforcement agencies? 

Q39b.  Regardless of whether or not various systems are currently in place to address law enforcement misconduct, to what extent would you support or oppose a nationwide and/or statewide misconduct database, accessible to the public?

Q9g. If new state or federal funding for law enforcement became available to your office/department, would investing in new technologies be a priority for allocating those funds?

Q24e.  Next, thinking about the equipment and technology used by your office/department, how likely or unlikely is it that your office/department will use the following types of equipment in the near future, or are they already being used?

e. Automated license plate readers

Q24f.  Next, thinking about the equipment and technology used by your office/department, how likely or unlikely is it that your office/department will use the following types of equipment in the near future, or are they already being used? 

f. Facial recognition technology

Q24g.  Next, thinking about the equipment and technology used by your office/department, how likely or unlikely is it that your office/department will use the following types of equipment in the near future, or are they already being used? 

g. Predictive policing tools (e.g., using AI to help anticipate or assess crime) 

Q25a.  (Please only answer for those technologies that are currently in use in your jurisdiction)  Thinking about the positives and negatives of your office’s or department’s use of these policing technologies or equipment (e.g., financial impacts, reduced crime, community opposition to a technology, etc.), do you agree or disagree that they have been a worthwhile investment for the community or communities your office/department serves?

a. Unmanned aerial vehicles (i.e. drones)

Q25b.  (Please only answer for those technologies that are currently in use in your jurisdiction)  Thinking about the positives and negatives of your office’s or department’s use of these policing technologies or equipment (e.g., financial impacts, reduced crime, community opposition to a technology, etc.), do you agree or disagree that they have been a worthwhile investment for the community or communities your office/department serves? 

b. Dashboard cameras

Q25c.  (Please only answer for those technologies that are currently in use in your jurisdiction)  Thinking about the positives and negatives of your office’s or department’s use of these policing technologies or equipment (e.g., financial impacts, reduced crime, community opposition to a technology, etc.), do you agree or disagree that they have been a worthwhile investment for the community or communities your office/department serves? 

c. Body cameras

Q25d.  (Please only answer for those technologies that are currently in use in your jurisdiction)  Thinking about the positives and negatives of your office’s or department’s use of these policing technologies or equipment (e.g., financial impacts, reduced crime, community opposition to a technology, etc.), do you agree or disagree that they have been a worthwhile investment for the community or communities your office/department serves?

d. Other public surveillance cameras (i.e. on buildings, streetlights, etc.)