01 / Public trust
What shapes public support for AI in policing?
A study of how attitudes toward AI, AI knowledge, confidence in law enforcement, and views on police funding relate to support for AI in policing.
Read research briefResearch
Evidence behind the decisions.
Our team’s published research informs how we test technology, interpret outcomes, and understand the people affected by adoption.
Work with us on a study for your organization. We can review the evidence for a technology, evaluate a program, or design and analyze a survey. The publications below reflect the research experience our team brings to each question and the care we take in interpreting findings.
See research questions and deliverablesEvidence across applications
What improves, and how do we know?
Place-based prediction
Modest reductions with visible patrols
Evaluate the tool and the operational response together.
Person-based prediction
Fairness and effectiveness concerns
Examine errors, consequences, and evidence quality.
Identification & detection
Some process benefits; crime effects unproven
Separate faster operations from public outcomes.
Administrative AI
Limited evaluation evidence
Test usefulness in a bounded workflow before scaling.
Guler, A., Boke, K., & Kula, S. (2026). AI in Policing: A Systematic Review of AI Use in the US Law Enforcement. In L. Huey, L. Ferguson, & I. T. Adams (Eds.), Future Policing: Technology and Transformation. Routledge. Publication (opens in a new tab)
Applied to your decision: define the outcome you need, assess the strength of the evidence, and test whether the benefit appears in your setting.
Explore technology evaluationPublic support for AI in policing
Adoption has a human side.
583survey respondentsThree northeastern US states
Positive associations with support
- Emotional attitudes toward AI
- Behavioral attitudes toward AI
- AI knowledge
- Confidence in law enforcement
- Support for police funding
Guler, A., Kula, S., & Boke, K. (2026). Predictors of public support for AI in policing. Policing: An International Journal. Publication (opens in a new tab)
Applied to your decision: examine stakeholder views alongside technical performance. Research can reveal concerns and priorities that a product benchmark misses.
Discuss stakeholder research02 / Evidence review
What does the evidence say about AI in policing?
A systematic review of AI use in US law enforcement, covering predictive policing, identification and surveillance, administrative tools, and public and officer perceptions.
Read research brief03 / Police oversight
What role does camera footage play in use-of-force investigations?
A study examining how body-worn camera footage relates to the substantiation of use-of-force allegations within the New York City Police Department.
Read research brief04 / Police accountability
How does camera footage inform misconduct investigations?
A study of 10,662 NYPD discourtesy and offensive-language allegations investigated by the NYC Civilian Complaint Review Board between 2019 and 2024.
Read research brief05 / Effectiveness
What works in AI-assisted policing?
A systematic review of 19 empirical studies examining AI applications in US policing and the strength of the evidence behind them.
Read research brief06 / Public trust
How do fairness and trust relate to support for AI in policing?
A survey of 583 respondents in New Jersey, New York, and Pennsylvania examines perceptions of procedural justice and support for AI in policing.
Read research briefOur team’s publications
Explore the wider research.
Our team brings academic research into our work. Explore their publications on Google Scholar.