{"id":2187,"date":"2024-09-16T04:17:00","date_gmt":"2024-09-16T04:17:00","guid":{"rendered":"https:\/\/www.inthacity.com\/blog\/?p=2187"},"modified":"2024-09-16T04:54:21","modified_gmt":"2024-09-16T04:54:21","slug":"ai-police-reports-2025-efficiency-or-risk","status":"publish","type":"post","link":"https:\/\/www.inthacity.com\/blog\/life\/ai-police-reports-2025-efficiency-or-risk\/","title":{"rendered":"AI Writing Police Reports: Game-Changer or Pandora’s Box for Law Enforcement?"},"content":{"rendered":"

Oklahoma City Police Sgt. Matt Gilmore<\/a> had just spent nearly an hour chasing down a group of suspects with his trusty K-9 partner, Gunner. Normally, after the adrenaline fades, the tedious task of writing a report begins\u201430 to 45 minutes of typing out every detail, cross-referencing notes, and trying to remember what was said in the heat of the moment. But this time, Gilmore did something different. He let AI write the first draft.<\/p>\n

In just eight seconds<\/strong>, the AI-generated report was ready. Gilmore was stunned\u2014not only was it faster, but it was more detailed and better organized than anything he could\u2019ve written. It even captured facts he didn\u2019t consciously remember, like another officer\u2019s mention of the car's color. This wasn\u2019t just time-saving; it felt like a glimpse into the future.<\/p>\n

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AI: Revolutionizing Police Work or Opening Pandora's Box?<\/strong><\/h3>\n

Artificial intelligence<\/a> (AI) has been steadily infiltrating every facet of life, but when it starts rewriting police reports, you know we're entering new territory. Oklahoma City is one of the first police departments to experiment with AI-generated reports, and while officers like Gilmore are singing its praises, not everyone is onboard with the idea. Legal scholars, prosecutors, and community activists are all voicing their concerns about the implications of AI shaping a document as critical as a police report.<\/p>\n

Police work is still largely a human endeavor. The average officer isn\u2019t sitting around reading about machine learning<\/a>; they\u2019re in the field, dealing with human lives, messy situations, and unpredictable behavior. Yet, behind the scenes, tech like AI is creeping in to do the parts of the job most officers hate\u2014data entry, endless paperwork, and report-writing.<\/p>\n

Here\u2019s a quick look at how AI is transforming police work<\/strong>:<\/p>\n\n\n\n\n\n\n\n
Task<\/th>\nTraditional Method<\/th>\nAI-Assisted Method<\/th>\n<\/tr>\n<\/thead>\n
Report Writing<\/td>\n30-45 minutes per report<\/td>\n8 seconds with AI<\/td>\n<\/tr>\n
Data Entry<\/td>\nManually entered<\/td>\nAuto-generated from audio<\/td>\n<\/tr>\n
Case Summaries<\/td>\nHours of note-taking<\/td>\nInstant generation from body cam footage<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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Why AI-Generated Reports Matter<\/strong><\/h3>\n

Let\u2019s face it\u2014no one becomes a police officer to sit behind a desk. The real pull of the job is being out in the field, solving crimes, helping the community, and keeping the streets safe. But for every minute spent in the field, there\u2019s another minute spent writing reports. This is where Axon<\/a>, the company behind the Taser<\/a> and one of the biggest suppliers of body cameras, steps in with their new AI tool, Draft One<\/strong>.<\/p>\n

Using the same generative AI technology as ChatGPT<\/a>, Draft One listens to everything recorded on body cameras and churns out a report in seconds. It\u2019s like having an invisible assistant who never sleeps, never misses a detail, and can write better than most officers. This is a big deal, especially for departments that are already stretched thin.<\/p>\n

Axon\u2019s CEO, Rick Smith<\/a>, compares the reaction to Draft One as the most \u201cpositive\u201d any of their products has received. Officers love<\/a> it because it frees them up to focus on real police work, while the AI handles the paperwork.<\/p>\n

But here\u2019s the catch: how do you make sure the AI gets it right? And, more importantly, how do you ensure the human element of policing doesn\u2019t get lost in translation?<\/p>\n

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The Risks: When AI Gets It Wrong<\/strong><\/h3>\n

We\u2019ve all heard the horror stories of AI hallucinations\u2014when an AI system \u201cembellishes\u201d or flat-out makes up facts. Now imagine that happening in a police report. Legal scholar Andrew Ferguson from American University is already sounding the alarm. He points out that police reports often form the basis of legal proceedings. If an AI-generated report contains even a tiny mistake, it could alter the course of someone\u2019s life. Imagine a report that \u201challucinates\u201d an extra detail, and suddenly, someone\u2019s liberty is on the line.<\/p>\n

For police officers, the stakes are high. The AI might be fast, but it\u2019s not perfect. And the problem of \u201cgarbage in, garbage out\u201d still applies\u2014if the audio recording isn\u2019t crystal clear or if there\u2019s too much background noise, the AI could easily misinterpret a key fact. It\u2019s already been an issue in places like Fort Collins, Colorado, where the AI struggles to summarize reports from the city\u2019s bustling downtown bar district.<\/p>\n

Ferguson isn\u2019t the only one worried. Community activists like Aurelius Francisco are particularly skeptical. He views the use of AI in policing as just another tool that could deepen the divide between law enforcement and marginalized communities. \u201cThis makes the cop\u2019s job easier, but it makes Black and brown people\u2019s lives harder,\u201d he said, warning that AI could be used to amplify biases already present in the justice system.<\/p>\n

\"DALL\u00b7E-2024-09-16-00.42.12-A-16_9-feature-image-depicting-an-AI-driven-police-officer-interacting-with-advanced-technology-set-in-a-futuristic-cityscape.-The-scene-merges-a-Min-1024x585<\/p>\n

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Key Benefits of AI in Law Enforcement<\/strong><\/h3>\n

Let\u2019s take a moment to break down the benefits AI could offer:<\/p>\n