Imagine if you could make sense of a thousand crime interviews without having to type them out. That's the dream for law enforcement agencies around the world. Recently, research has been exploring the use of artificial intelligence (AI) to make this a reality.

Automatic Speech Recognition, or ASR, is a type of AI that can turn spoken words into written text. It's something we use every day in our phones and smart speakers. But can it handle the complexity of investigative interviews?

In the European Union, a law called the European Union Artificial Intelligence Act (AIA) is drawing attention. This law has rules about how AI can and can't be used. One of the big questions is: can ASR meet these legal standards?

Researchers are looking into this. They're studying how well ASR works in Norway for the police. They're also looking at other best practices and real experiments with speech recognition. The goal is to give law enforcement a clear idea of the benefits and risks of using ASR.

It's not just about legal rules, though. There are also technical issues. How good is the AI at understanding different accents, for example? How can we make sure it's not making mistakes that could mess up an investigation?

This research is like a roadmap. It helps law enforcement know where they can (and can't) go with AI. It also highlights areas where we need more study. After all, when it comes to solving crimes, getting every detail right is crucial.

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