Responsible ML in Policing
(Ended 27th Mar 2024)
In-person & Online
27th Mar 2024 to 27th Mar 2024
March 27 10-4pm, Middlesex University
The use of Machine Learning (ML) in policing has been a topic of considerable discussion and controversy. While ML technologies hold the promise of augmenting law enforcement capabilities, their implementation raises critical ethical, legal, and social concerns. Join us for a day of insightful talks and discussions where we delve into these pressing issues, contemplate the future landscape of policing in the context of ML, and engage in conversations about the necessary steps to chart the course forward.
- 10:00 – 10:15 – Welcome
Dr Ruth Spence introduces the team and project - 10:15 – 10:45 – What is AI: What Machine Learning Can and Can’t Do
Machine Learning Expert Tamara Polajnar explores some of the ways machine learning can be used in a policing context - 10:45 – 11:30 – Algorithms in Policing: Problems, Solutions & More Problems
Research Fellow Hazel Sayer discusses why ML is seen as the answer to current police problems, and outlines the problems that remain - 11:30 – 12:30 – Discussion 1: How to conceptualise & quantify problems in policing
Discussion on how to think about and measure key terms in policing - 12:30 – 13:15 – Lunch
- 13:15 – 14.00 – The Future of Algorithms: Where are we headed?
- External speaker: TBA
- 14:00 – 15.00 – Discussion 2: How can ML and other techniques tackle problems in policing
- 15.00 – 15.30 – What Next: Collaborative hub for ML in policing
- 15:00 – 16:00 – Networking