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Theme 4- AI and data science in forensic practice

Data science is an emerging field that is permeating every facet of our society. The integration of increasingly powerful artificial intelligence models aligns with advancements in data acquisition and utilization. This evolution opens the door to many prospects in the field of forensic science.
AI can bring a lot, but how do we do this responsibly and maintain trust? NFOA

AI and data science offer new opportunities, from recognizing patterns in data to interpreting complex forms of evidence. Transparency and explainability are essential for legal use. Key challenges include bias, data privacy, and responsible modelling.

  • Typical forensic questions and potential research ideas
    • How can AI be made transparent in a criminal case?
        Research idea: Develop explainable AI (XAI) models and evaluate their comprehensibility for legal professionals.
    • What is the role of AI in predicting repeat victimisation or offending?
        Research idea: Use historical data to build predictive models and assess their ethical implications.
    • How can AI be used to analyse complex injuries?
        Research idea: Train AI on medical and forensic imaging to classify injuries and relate them to violence patterns.