REVIEW

3-part online series “Artificial Intelligence in Fire Safety and Security Systems”

In three compact sessions we mapped regulation, research, and real-world practice.

Highlights

• clearer routes to compliance for AI in safety-critical systems
• progress in predictive detection, fire risk assessment, AI-assisted response, and in security applications
• case studies showing measurable gains in data quality, human oversight and validation built in from the start.

OUTLOOK

Effective Fire Detection avoiding False Alarms in a changing Environment: An Evolving Joint Task in Fire Safety

Focus on cutting false/nuisance/unwanted alarms.

Topics will include performance metrics, test & certification regimes, data-driven detection, human factors, and operational impacts/costs.

Date & Place: 2-3 March 2026 - Zurich, Switzerland

Calls for speakers, demos and case studies will follow.