Bias in algorithms is an expensive oversight with significant human consequences, disproportionately affecting some communities. As artificial intelligence (AI) becomes a critical tool across industries, it carries the risk of perpetuating unconscious biases that undermine progress. While AI ethicists and practitioners call for greater transparency and accountability, fire departments must explore how these tools can shape their future. This session delves into the impact and potential of AI to improve fairness, drive innovation, and transform fire department operations.

LEARNING OBJECTIVES:

1. Examine AI’s Impact on Decision-Making: Understand how AI influences hiring, resource allocation, and operational decisions in the fire service, and identify ways to ensure its use supports accuracy and fairness.
2. Assess Risks and Benefits of AI Integration: Explore both the advantages and potential unintended consequences of AI-driven tools in fire department operations, including strategies to mitigate bias and enhance reliability.
3. Develop a Responsible AI Implementation Plan: Identify best practices for adopting AI technologies in fire service leadership, recruitment, and operational processes while ensuring transparency, accountability, and trust.