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AI Webinar Series

Michael O’Connell: The principles of responsible AI in law enforcement

AI & new technology

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In a series of webinars over the early summer we heard from a wide range of industry experts on the challenges and opportunities that artificial intelligence (AI) can bring the justice & police sectors. In this last excerpt from our first webinar we hear from Michael O’Connell Managing Director of Critical Insights Consultancy and a Senior fellow at the United Nations Interregional Crime and Justice Research Institute on Leveraging AI responsibly. What is AI and how does it impact in law enforcement and the delivery of justice?

Michael discusses the growth and relevance of generative AI, the importance of understanding and adopting AI tools in law enforcement, and the concerns raised around AI technologies. The presentation also delves into the principles of responsible AI, including lawfulness, minimization of harm, human autonomy, fairness, and good governance. Michael emphasizes the need for continuous monitoring and assessment throughout the lifecycle of AI systems and the importance of community engagement and communication to build trust and confidence.

Takeaways

  • Generative AI is growing in relevance and has both positive and negative implications for law enforcement.
  • Law enforcement must understand and adopt AI tools responsibly to ensure they are used ethically and do not harm individuals or erode human rights.
  • The principles of responsible AI include lawfulness, minimization of harm, human autonomy, fairness, and good governance.
  • Continuous monitoring and assessment are necessary throughout the lifecycle of AI systems to ensure they fulfill their intended function and do not pose risks.
  • Community engagement and communication are crucial to building trust and confidence in the use of AI in law enforcement.

Sound Bites

  • “Technology is going to become rudimentary in law enforcement and public safety.”
  • “We need to bring some common understanding that basically it evolves in a manner that is responsible and doesn’t instill harm to society.”
  • “Law enforcement should prevent, eliminate or mitigate the risk of harm to individuals and communities that can arise from the use of AI technologies.”

Chapters
00:00. Introduction and Overview
02:08. The Growth and Relevance of Generative AI
03:31. Concerns and the Need for Responsible AI
08:21. The Principles of Responsible AI
09:46. Law Enforcement and the Importance of Responsible AI
12:34. Building Trust and Confidence through Responsible AI

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