As advancements in artificial intelligence (AI) reshape the landscape of law enforcement (LE) and public safety, examining the governance frameworks and ethical responsibilities that guide their implementation is crucial. This session will provide an overview of existing AI executive orders, agency directives, and governance frameworks, such as those established by the National Institute of Standards and Technology (NIST). Experts will discuss the importance of ethical review processes in ensuring accountability and public trust. Furthermore, we will explore innovative use cases of AI in investigations, analytics, detection, and enterprise cybersecurity that enhance operational efficiency and effectiveness in public safety. The session will highlight agencies' successes and challenges in integrating AI technologies by presenting real-world applications and insights. Finally, we will delve into the lessons learned from various AI implementations, identifying capabilities gaps and needs within the sector. This discussion aims to equip law enforcement professionals with the best practices and strategies for overcoming hurdles in adopting AI responsibly and contributing to safer communities. Join us for an engaging dialogue on how AI transforms law enforcement and public safety while addressing critical governance and ethical considerations.

Potential Topics:
• Utilizing AI For Crime Prediction and Prevention
• Overcoming AI Adoption Hurdles
• Exploring the Ethical Implications of AI in Law Enforcement
• Examining Existing AI governance Structures
• Highlighting Successful AI implementations in LE and Public Safety