Enterprises are deploying AI faster than they're building the guardrails to govern it. This workshop equips AI and data leaders with the frameworks, tools, and questions required to design a risk management plan that keeps AI systems safe, responsible, and aligned with organizational strategic priorities.
We'll highlight the elements that drive successful risk management in modern AI operating models, outlining strategies for a practical, proactive, scalable approach. Working in groups, you'll examine real-world AI incidents to understand the factors driving risk exposure and determine potential mitigation tactics.
We'll translate governance frameworks and industry standards, such as NIST AI RMF, ISO 42001, and the EU AI Act, into actionable organizational assets. Through hands-on exercises, you'll explore how to layer organizational and scenario-specific guardrails based on risk tolerance, stakeholders, and priority areas.
You'll leave with a toolkit ready to customize for your organization's data, industry, and risk priorities.