Harm or Hazard? When Your AI Event Becomes an AI Incident

Artificial intelligence systems make mistakes every day. Most are harmless. Some create operational disruption, reputational damage or regulatory exposure. A small number create real consumer harm.

So where is the line? This session explores emerging approaches to defining AI incidents, establishing harm thresholds, determining escalation criteria and operationalizing response across privacy, legal, compliance and security teams. Attendees will leave with practical frameworks and real-world examples they can apply immediately even as regulations and standards continue to evolve.

What you will learn:

• Define consistent thresholds for determining when AI behavior requires investigation or escalation.
• Understand how companies are approaching AI harm, accountability and regulatory defensibility.
• Learn practical operating models for coordinating AI incident response across functions.

Sponsored by RadarFirst

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