Introduction

POLICE OFFICERS have historically approached technological innovations in policing with skepticism, often believing management has ulterior motives.

Historical Context

For instance, when Boston officers received personal two-way radios in the 1970s, they were distributed and collected at roll call to prevent misuse. This pattern of distrust has accompanied various technological advancements, from blue callboxes to onboard computers.

The Role of AI in Policing

Artificial intelligence may represent the next significant innovation in policing, with the potential to enhance decision-making. AI could help police effectively utilize the vast amounts of video footage captured by body cams, facilitating after-action reviews that improve officer judgment.

Improving Officer Skills

These reviews aim to enhance officers’ skills and competencies. Without AI, the sheer volume of footage can be overwhelming, limiting its use to accountability rather than broader improvements.

Understanding Decision-Making

Decision-making is central to police work, influenced by various factors including personality, training, biases, and stress levels. AI analysis of body cam footage could provide insights into these influences, helping officers refine their judgment.

Identifying Biases

Departments rarely analyze the decision-making processes during the numerous encounters officers have each year. Understanding how officers respond to different demographics can reveal unconscious biases.

Enhancing Accountability

AI can also facilitate early intervention for officers heading in the wrong direction, promoting accountability. Many departments already use complaint systems to identify habitual offenders before serious misconduct occurs.

Case Study: Paterson Police Department

The Paterson, New Jersey, police department has integrated AI into its strategic plan, aiming to enhance accountability by automatically detecting critical events and reviewing officer conduct.

Commitment to Professional Development

Implementing AI will necessitate a commitment to professional development within police departments, particularly for front-line officers.

Learning from AI Analysis

Departments could form learning squads to review AI-generated analyses of performance, fostering a culture of continuous improvement.

Building Trust and Transparency

To successfully adopt AI, discussions around trust and transparency are essential, involving community leaders and civil rights activists in the development process.

Conclusion

While skepticism towards technological advancements in policing persists, history shows that such changes often lead to improved officer and community safety. Artificial Intelligence may be the next chapter in enhancing policing practices.

Jim Jordan is the retired director of strategic planning at the Boston Police Department. He has taught police strategy at Northeastern University, the University of Massachusetts Lowell, and in training settings around the country.