Jason Hartley is lecturer in criminology at Griffith University in Brisbane, Australia. He is a former police officer with 23 years of experience, and has trained personnel for deployment in Timor Leste, the Solomon Islands, Iraq and Afghanistan. Jason specializes in, and has published on engagement with Muslim communities, Indigenous Polynesian approaches to rehabilitation and reducing recidivism, and Asian Organised Crime. Jason also completed a community internship in Hebron on the West Bank.
MPL506 Predictive Policing and Intelligence Machines
This unit takes a balanced and sustained critical look at the benefits and risks inherent in how predictive policing uses intelligence machines based on algorithmic programming to identify, predict, and prevent future crimes. The aim of the unit is for students to develop a hybrid approach to use of predictive policing technologies in the form of a state-of-the-art briefing paper for police policy development and leadership, especially regarding AI’s interface with counterterrorism.
RELEVANT COURSES
- Master of Police Leadership*
- Graduate Diploma of Police Leadership
- Graduate Certificate in Police Leadership
- Graduate Certificate in Police Leadership (Cybersecurity)
* This unit is in the Master of Police Leadership specialisation in Future Policing
CREDIT POINTS
10
STUDY MODES
On campus, online, hybrid
PREREQUISITE OR CO-REQUISITE
MPL400 Advanced Policing and Essential Services
UNIT LEARNING OUTCOMES
- Reflect on and critique various contexts of policing and its interface with predictive policing.
- Demonstrate mastery of key processes in policing and their impact on the predictive policing.
- Communicate and critically analyse leadership challenges and strategies in relation to predictive policing and intelligence machines.
- Develop a strategic leadership approach to predictive policing in helping to solve a range of complex crime scenarios.
- Demonstrate advanced leadership skills in the field of predictive policing and intelligence machines.
CONTENT
- Governance, ethics, and strategy in predictive policing
- Practical and theoretical critiques
- Artificial Intelligence, accountability and risk management
- Pros and cons of ‘place-based’ predictive policing technologies
- Pros and cons of ‘person-based’ predictive policing technologies
- Developing a hybrid approach
ASSESSMENT METHODS
- Reflective Journal – 20%
- Multimedia Presentation – 30%
- Analytical Report – 50%
PRESCRIBED READINGS
Nil