Responsible Use of AI in Policing
Key initiatives to ensure the responsible and ethical use of AI in policing.
- AI integration in policing faces multifaceted challenges impacting its effectiveness and ethical implementation.
- Ensuring AI systems avoid discriminatory outcomes and address inherent biases is a pressing challenge.
- Balancing the needs for effective law enforcement with individuals' right to privacy remains a complex issue.
- Determining responsibility and accountability in cases of AI-related errors or misuse poses a significant challenge.
Our Advice
Critical Insight
- Limited access to diverse and unbiased data sets hampers the development of fair AI models.
- Gaining public confidence in AI-assisted policing is hindered by concerns about surveillance and misuse of personal data.
- Limited resources hinder the deployment of advanced AI systems, affecting both training and implementation.
- By ensuring the responsible and ethical use of AI in policing, and getting the public involved in AI in policing development, law enforcement agencies can harness its potential while minimizing its pitfalls, and ultimately, enhance the effectiveness, efficiency, and accountability of law enforcement agencies, and the safety, security, and wellbeing of the society.
Impact and Result
- Info-Tech’s guidance provides for meticulous data curation, transparency, and ongoing bias mitigation efforts in AI model development.
- Within the context of the COPS Business Reference Architecture portfolio, Info-Tech’s responsible AI implementation strategy:
- Identifies core responsible AI principles as sources of value to strategically address challenges and safely, securely, and fairly implement initiatives.
- Jump-starts the idea generation process during the initiative development phase.
- Offers six insights for responsible use of AI in policing.
- Provides next steps toward Ai-driven initiative integration and implementation.
- Builds in safeguards to foster public trust and community engagement.
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Unlock Sample ResearchContributors
- Blayne Eliuk, Alberta Law Enforcement Response Teams (ALERT), Director of Technology & Investigative Support
- Scott Gagnon, Alberta Law Enforcement Response Teams (ALERT), Manager of Application Development & Support
- Brent Dyer, Calgary Police Service, Executive Director, IT & Infrastructure Division
- Sam Fessehatsion, Calgary Police Service, Architect Analyst
- Joyce Dufresne, Edmonton Police Service, Administrative Manager
- Paul Fahey, Edmonton Police Service, Senior Architect
- Erran Milligan, Edmonton Police Service, Team Lead, Business Technology Transformation Unit
- Norman Mendoza, Edmonton Police Service, Director, Architecture & Solutions Branch
- Jonathan Green, Guelph Police Service, Manager of Information Systems Services
- Akram Askoul, Niagara Regional Police, Director of Technology Services
- Joe Couto, Ontario Assoc of Chiefs of Police (OACP), Director of Government Relations and Communications
- Anna Beatty, Ottawa Police Service, Chief Information Officer
- Elizabeth Izaguirre, Ottawa Police Service, Manager, Business Intelligence
- Cameron Hopgood, Ottawa Police Service, Director of Strategy
- Tony Ventura, Peel Regional Police (PRP), Director of Information Technology Services
- Alpha Chan, Toronto Police Service (TPS), Chief Information Security Officer
- Billy Zhou, Toronto Police Service (TPS), Acting Manager, Enterprise Architecture, Quality Assurance, and IT Risk Management
- Raymond Lai, Vancouver Police Department, Director, Information & Communications Technology
- Micheline Manseau, York Regional Police (YRP), Director of Information Technology
- Benny Zeng, York Regional Police (YRP), Acting Director of Information Technology