Mads Skipanes, a police chief inspector from Norway and a PhD candidate at Norwegian University of Science and Technology (NTNU), discusses his research on information analysis in criminal investigations. He highlights the importance of bridging the gap between criminal investigation methodologies and information technology, particularly through the use of AI. The conversation delves into the challenges of analyzing unstructured data in police work and the potential for AI to enhance investigative processes. Mads emphasizes the need for critical thinking and validation when implementing AI solutions in policing.
Takeaways
- Mads Skipanes is a police chief inspector and PhD candidate.
- His research focuses on information analysis in criminal investigations.
- There is a missing link in existing criminal investigative literature.
- Current methodologies often overlook the importance of data analysis.
- AI can assist in processing unstructured data in investigations.
- The research analyzed over 700,000 investigative tasks.
- AI systems can achieve a 77.5% accuracy in data retrieval.
- Explainability in AI models is crucial for investigators.
- The findings of the research may apply beyond Norway.
- Policing is evolving with innovative solutions worldwide.
Sound Bites
- “We have to handle a lot of unstructured data.”
- “AI-based system has accuracy of 77.5%.”
- “We are not a high-tech modern company.”
Chapters
00:00 – Introduction to Mads Skippens and His Research
02:09 – Exploring Information Analysis in Criminal Investigations
04:08 – The Role of AI in Investigative Analysis
07:28 – Research Findings and Their Broader Implications
10:24 – Concluding Thoughts on AI and Policing
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