AI Content Detection in Law Enforcement

Artificial intelligence (AI) is revolutionizing the field of law enforcement. It’s making it that much easier for police to predict crimes before they happen, which is a good thing. wever, AI is far from a perfect science and requires significant oversight if it’s going to be used correctly. This is why AI content detection in law enforcement has become essential.

In this article, we will explore what AI content detection is, why we need it in law enforcement, and how it can help police navigate the pitfalls of relying on artificial intelligence.

What Is AI Content Detection?

AI content detection involves determining whether a piece of content has likely been partially or entirely generated by artificial intelligence. Since it’s becoming increasingly difficult for humans to tell the difference themselves, this is usually done with the help of AI content detectors, like Originality.AI.

It’s not like AI content detectors can tell you exactly how much of a text is AI, though - they only calculate the probability. For example, when Originality.AI analyzes content, it will give you a score like 70% AI and 30% original. This means there is a 70% chance that there is AI-generated text in the document, and a 30% chance that it’s original.

Why Do We Need AI Content Detection in Law Enforcement?

With its ability to collect and analyze large amounts of data, it’s no wonder that law enforcement is embracing AI. Its applications in police work are practically endless. But it’s not all good news. There are some significant risks and challenges associated with this technology that make AI content detection in law enforcement crucial.

‍The Rise of AI in Law Enforcement

While AI has a lot of potential in law enforcement, its use can vary by department and location. But the National Institute of Justice (NIJ) currently supports AI research in four main areas: gunshot detection, DNA analysis, public safety video and image analysis, and crime forecasting.

• Gunshot detection: Using gunshot recordings, AI has the potential to estimate how many guns are present, their caliber and class, and the timing of shots
• DNA analysis: AI may also help identify and separate DNA evidence from multiple donors. This can generate some important leads for investigators
• Public safety video and image analysis: AI algorithms can sift through large amounts of video and image data to detect and recognize faces, weapons, crimes, and accidents
• Crime forecasting: The analysis of criminal justice-related records, social information, and media to predict future crimes and those at risk can also be accomplished with AI

As you can see, artificial intelligence can have a massive impact on the future of police work. But there are also some serious risks that make relying on AI-generated content problematic.

The Risks and Limitations of AI in Law Enforcement

Data-based policing isn’t new. Departments have been using statistics to identify and allocate resources to high-risk areas for years. But the problem is that AI may just exacerbate the potential bias that comes along with this approach instead of helping to eliminate it. And when you combine it with a lack of human oversight, it may make these problems even worse.

• Bias: Bias continues to be a major issue in law enforcement, and AI can make it even more so. See, AI is only as smart as the data it has been trained on. So, if it is given biased or inaccurate data, it will replicate and reinforce inaccurate information. This can lead to unfair targeting and even arrests.
• Lack of human oversight: As police grow increasingly reliant on AI tools, they may stop questioning their results. Not only does this allow bias and misinformation to slip through the cracks, but it also means that AI can create fake news and situations that can have a real impact on police work.

With such serious risks and limitations, law enforcement agencies need to be aware of AI content to ensure that it meets a certain standard. And that’s where AI content detection in law enforcement comes into play.

How AI Content Detection in Law Enforcement Can Help Address the Risks

When police use AI content detection in their work, they can help mitigate many of the risks that come along with using it. For example, let’s go back to the Originality.AI scores that we looked at before. 

Let’s say they find that a piece of content is 70% AI and 30% original. They can then choose to take a second look at the text to make sure there are no issues with the AI element. And then if they find anything, they can rework or scrap the content entirely.

By recognizing the limitations of AI and taking steps to control for them, law enforcement can feel confident that they’re basing their decisions on legitimate, unbiased information. This can go a long way in ensuring accurate police work.

Final Thoughts

While there are many benefits to using AI in law enforcement, police need to recognize and control for its limitations if they want to use it ethically and effectively. Fortunately, AI content detection tools like Originality.AI can help them achieve this goal.

Since bias is already an issue in law enforcement, AI content detection doesn’t only give the police some peace of mind, but also the public. If the public realizes that the police are trying to stamp out bias in their work, then this can go a long way in establishing trust. And law enforcement can be much more effective when they have the public on their side.