Welcome to the Tools of the Trade: Legal Boundaries of Emerging Technology training course. This training session on technology innovations in policing explores the rapidly evolving role of artificial intelligence in modern law enforcement. Key topics include predictive analytics for crime prevention, real-time surveillance tools powered by machine learning, and the integration of facial recognition and natural language processing into investigative work. Participants examine both the operational benefits—such as improved response times and data-driven decision-making—and the ethical concerns, including privacy, algorithmic bias, and accountability. The course also addresses court rulings evaluating the use of emerging technologies in policing. From body-worn cameras and pole cameras to automatic license plate readers (ALPRs), GPS trackers, and drones, participants explored how legal decisions are shaping the permissible scope and application of these tools. This session highlights current best practices, emerging technologies, and evolving regulatory frameworks designed to promote the responsible use of AI. Participants gain practical insights into how legal professionals and law enforcement agencies can navigate the intersection of public safety and individual rights in an increasingly AI-driven landscape.
This course will also focus on areas including:
- Legal and operational standard trends
- Community concerns and expectations
- Strategic evaluation and recommendations
Our training experts recommend this course for all officers, ranks, and command staff.
Instructor: Attorney Eric P. Daigle
Attorney Daigle focuses on evaluating and providing policy and training on areas of increased liability for departments across the country. Attorney Daigle’s keynote focuses on understanding current trends in legal standards, operational standards, and community concern. More importantly, the intersection between these topics to provide departments evaluation and recommendations to move forward.
- Credit Hours: 1.5
- Class ID: 26-10-11-A1
- Area: 201
- Topic: Technology
Please click here to contact the DLG Learning Center support staff with any questions about this course.