ISO 8800: Need for additional safety requirements on AI systems – Solution
- Date
- 2027-12-08
- Location
- Online
- Host
- ISO/PAS 8800 (Functional Safety)
About this event
AI systems are moving into safety-relevant environments faster than many standards frameworks can comfortably absorb. This event takes a clear look at the need for additional safety requirements around AI systems through the lens of ISO 8800, with a practical focus on what the problem is, why it matters, and what a credible solution could look like. About the Event This online session is built for people who want more than a surface-level conversation about AI safety. Rather than treating safety as a broad aspiration, the discussion centers on the specific challenge of defining additional requirements for AI-enabled systems in a way that is usable by engineers, safety practitioners, and decision-makers. The title points directly at the core issue: where existing approaches may stop short o
Who should attend
This session is for people who want a more rigorous, practical conversation about AI safety requirements than the usual broad discussion allows. - You work on **AI-enabled or autonomous systems** and need to understand how safety expectations may change once learning-based behavior is part of the design. - You are a **systems engineer, safety engineer, validation lead, or assurance practitioner** looking for a clearer view of where existing processes may need to be extended. - You are involved in **standards, governance, compliance, or technical decision-making** and want a better grasp of how ISO 8800 connects to real implementation questions. - You are a **researcher, architect, or technical lead** exploring how to define credible additional safety requirements for AI systems without relying on vague language. - You value **peer discussion and community insight** and want to hear how others are thinking about safety, autonomy, and structured requirements. - You are trying to translate high-level AI risk concerns into **practical engineering actions, evidence, and design choices**. If you have been asking, “What does additional safety rigor for AI actually mean in practice?” this event is very likely for you.