Researchers in California are set to utilize artificial intelligence to analyze bodycam footage from the Los Angeles Police Department (LAPD) and determine if officers escalated interactions with the public through their language or tone. The LAPD announced this research initiative during a meeting with the Board of Police Commissioners. The study aims to assist in the training of future officers and promote accountability. Commander Marla Ciuffetelli emphasized the department’s commitment to transparency and continuous improvement. Despite recruits learning the significance of their language and tone in de-escalating interactions, rudeness remains a top complaint against LAPD officers.
The University of Southern California will lead the research project, reviewing approximately 1,000 traffic stops over the next three years. They will establish parameters for both appropriate and inappropriate interactions based on department policies and public feedback. Researchers from other universities, including Georgetown and UC Riverside, will also contribute to the study. Using these boundaries, an AI system will be trained to analyze the videos and determine if officers escalated interactions. The research will consider factors such as the location of the traffic stop, the driver’s race, and the officer’s rank and age.
The findings will be released in four phases and integrated into the department’s training models. Commander Ciuffetelli acknowledged the uncertainty of the research outcome until it is completed. Additionally, the LAPD’s Inspector General’s office will conduct its own study on officer language during interactions with the public.
While the use of AI in police departments is not new, with facial recognition technology already employed for suspect identification, it has faced legal challenges and accusations of racial profiling. Nevertheless, machine learning is regarded as a significant aspect of future officer training.
Ann Arbor, Michigan, and several other police departments in the United States are also utilizing AI to review bodycam footage. For example, Ann Arbor recently announced the use of AI to identify incidents such as the use of force and monitor officer language to enhance supervision and accountability.
In the quest for smarter, more accountable policing, researchers are leveraging AI and advanced technologies to analyze and improve officer-public interactions. Through these initiatives, they aim to create a future where law enforcement is more transparent, responsible, and effective.
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