10. Police Surveillance

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23 Terms

1
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What are the 2 opposite concerns that shape people’s thoughts about police surveillance?

  • fear of victimization

  • fear of totalitarian law enforcement

2
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What does it mean for police to be knowledge workers?

  • information is essential to their profession, as they gather, produce, process, and share information

  • information enables policy to perform day-to-day tasks (surveillance, information gathering) and higher-level functions (preventing crime, enforcing laws)

  • information is a resource and increases capacity for action (criminal detection, prevention, maintaining public safety)

3
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What are 3 important trends from the history of police surveillance?

  • has shifted from monitoring defined areas to “knowing” specific individuals + groups

  • tech advancements have greatly increased the methods and scale of police surveillance (from physical observation to dataveillance)

  • long history of collecting and using information for criminal detection, prevention, and maintaining public safety

4
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What are 2 tactics of police surveillance?

  • snitching (a form of information gathering from individuals about offenders + criminal groups)

  • undercover policing (using deceit to collect information on criminal activity)

  • both utilize human sources to monitor + investigate potential crimes

5
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What are 3 modes of technological police surveillance?

  • dataveillance

  • integrated data systems (accessing databases of biometrics + location data)

  • video surveillance (CCTV, facial recognition)

6
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What is dataveillance?

  • the systematic monitoring of actions + communications using information technology

7
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How do police use dataveillance?

  • police collect, store, sort, and analyze digital clues from integrated sources and various databases to identify suspects and predict crime

  • knowledge work that helps police in crime detection, prevention, and maintaining public safety

8
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What does Ferguson (2017) say about big data and police?

  • big data enables a new era of criminal surveillance, where police increasingly collect + analyze vast digital datasets to predict + prevent crime

  • technology has transformed police surveillance by enabling the collection + analysis of diverse data through integrated systems, shifting from area monitoring to individual “knowing”

9
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How does the Edmonton Police’s OICC align with Ferguson’s (2017) big data and policing?

  • the Edmonton Police’s OICC (Operations and Intelligence Command Centre) is a central intelligence hub for identifying suspects + predicting crime locations

  • integrates + analyzes data to proactively address crime

10
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What are the implications of dataveillance in policing?

  • dataveillance enables police to do real-time surveillance through collecting + analyzing digital data

  • shifts police focus towards crime prediction based on correlations (efficiency over causation)

  • may potentially lead to automated suspicion and impact fairness

11
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What is a technological fix?

  • the belief that technology can solve social problems

12
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How does the concept of a technological fix relate to Ferguson’s (2017) police use of surveillance technology?

  • police are drawn to data technology to fix issues like distrust

  • Ferguson cautions against the hype of surveillance technology, as it has limited proof of effectiveness and prediction tools can embed biases

  • technology isn’t a silver bullet for crime, and overreliance can create legal shadows and constitutional gaps, potentially leading to automated suspicion

13
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According to the guest lecturer, what are the 3 components of the surveillance triangle for police?

  • public safety scope (systematic collection of info for community safety + well-being)

  • actors in surveillance (conducted by state institutions, private companies, individuals)

  • neutrality and context (surveillance is neutral and its implication depend on context + intent)

14
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According to the guest lecturer, what are 4 subcategories and functions of AI?

  • machine learning (ie. computer science that learns from existing data to make decisions; eg. predictive analytics)

  • natural language processing (narrow AI, ingesting + generating human language; eg. bodycam translation)

  • computer vision (general AI, analyzing visual data; eg. facial recognition)

  • robotics (super-intelligent AI, autonomous machine tasking)

15
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According to the guest lecturer, what are 5 ways police are implementing AI technologies into their surveillance practices?

  • enhanced video surveillance and analytics (analyze live CCTV and body camera feeds in real-time)

  • predictive policing (algorithms analyze historical crime data to forecast potential crime hotspots + trends)

  • mass data processing (manage + process vast amounts of data)

  • automated reporting and transcription (NLP tools can automatically transcribe audio from body cameras)

  • drone use (AI-powered drones can be deployed as first responders)

16
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According to the guest lecturer, what are the 7 core principles guiding Peel Police on their adoption of AI-driven tools?

  • transparency, accountability, privacy, security, human rights, efficiency, and CSWB (Community Safety and Wellbeing)

17
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According to the guest lecturer, what are the 3 types of police intelligence?

  • strategic intelligence (guides big-picture decisions, like overall risk management)

  • operational intelligence (focuses on active threats and day-to-day activities)

  • tactical intelligence (provides data on attacker techniques for immediate defense)

18
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According to the guest lecturer, what are the similarities and differences between criminal profiling and racial profiling in surveillance?

  • both involve assigning criminality to a person/group based on suspicions of criminal behaviour

  • racial profiling is an illegal form of racial discrimination that assigns criminality based on irrelevant factors

  • criminal profiling assigns criminality based on reasonable suspicion of crime

19
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What is the Canadian Police Information Centre (CPIC)?

  • provides info on people, vehicles, firearms, and other property

  • maintained by the RCMP and accessible to Canadian police services

  • provides 4 types of information

20
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What are 4 types of information the CPIC provides police?

  • identification (criminal records, fingerprints, etc.)

  • investigative (active investigations, missing persons, etc.)

  • intelligence (criminal intelligence + surveillance info across Canada)

  • ancillary (firearm registry data, registry for missing person with Alzheimer’s, etc.)

21
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What is a warrant?

  • issued by a judge, authorizes police to conduct searches + seizures

  • grants legal authority to gather information, impacting expectations of privacy

22
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What is electronic surveillance?

  • the installation + monitoring of authorized real-time data

  • includes phone interceptions, Internet communication interceptions, electronic tracking devices, video surveillance, etc.

23
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What are the conditions police need to meet in order to get judicial authorization to conduct more invasive forms of observation?

  • police need to provide reasonable grounds to believe an offense occurred, data is possessed, and the data will provide evidence