Incident Response and Post-Market Surveillance of AI Systems Course

Incident Response and Post-Market Surveillance of AI Systems Course

295,00 €

A 4-hour course, delivered on-demand in an asynchronous format, on incident response and post-market surveillance of AI systems, for IT, Compliance, Risk Management and security officers. It covers identifying, managing and reporting incidents, with a focus on high-risk systems.

Description

Incident Response and Post-Market Surveillance of AI Systems

Incident management, continuous monitoring and corrective actions across the AI lifecycle

The course provides the essential knowledge and tools for setting up an incident management and post-deployment surveillance process for Artificial Intelligence systems.

The course explores how to identify, assess, manage and report incidents related to AI systems, with particular attention to the obligations set for high-risk systems. It also analyses the information flows between the different parties in the value chain, the collection of evidence, and the activation of the corrective actions needed to maintain the system’s compliance, security and reliability over time.

4
Hours
On-demand
Asynchronous format

Who it is for

Managers and professionals in IT, Compliance and Risk Management, information security officers.

Objectives
  • Understand the role of post-market surveillance across the AI system lifecycle
  • Recognise events that may constitute relevant incidents or malfunctions
  • Distinguish ordinary incidents from serious incidents subject to reporting
  • Define roles, responsibilities and escalation flows
  • Set up an internal process for collecting, analysing and retaining evidence
  • Coordinate incident management between the supplier, the deployer and other parties involved
  • Identify and monitor corrective and preventive actions
  • Integrate AI incident response with the company’s compliance, risk management and security processes

Key topics

ā—Post-market surveillance and monitoring of AI systems ā—Obligations related to high-risk AI systems
ā—Definition and classification of incidents ā—Serious incidents and assessment criteria
ā—Reporting obligations and procedures ā—Roles of the supplier, the deployer and other operators
ā—Information flows along the value chain ā—Detecting errors, anomalies and performance degradation
ā—Collecting logs and documentary evidence ā—Root cause analysis and impact assessment
ā—Containment, mitigation and corrective actions ā—Updating the risk assessment
ā—Internal communications, and communications to suppliers and authorities ā—Integration with cybersecurity, data breach and business continuity

Certificate of attendance

A certificate of attendance is issued at the end of the course.