When AI supports essential services, humanitarian programs or public policy, a useful answer isn’t enough. Organizations need AI they can trust, with evidence behind its outputs, clear rules governing its actions and the right controls in place.
Hosted by AI for Good in partnership with Progress, this on-demand webinar explores how organizations can move from trusted AI outputs to accountable action. Learn how trusted knowledge, semantic context, governance and human oversight can provide the Context, Control and Confidence needed to build reliable, explainable AI experiences.
You’ll also explore how identity, deterministic rules, human approval, monitoring and evaluation can help control access and actions and provide greater confidence in AI-supported decisions.
Watch the webinar to learn how to:
- Identify the components needed for Context, Control and Confidence
- Understand the roles of knowledge stores, models, agents and enforcement mechanisms
- Incorporate evidence checks, permissions and human review into AI workflows
- Define a first implementation with clear ownership and measurable service outcomes
The session is ideal for:
Leaders and teams responsible for trusted AI, data governance and enterprise decisioning, including:
- CIOs, CDOs, Heads of Data/AI & Enterprise Architects
- Risk, Compliance, Legal & Security Leaders
- Knowledge, Content & Information Management Teams
- Product, Engineering, Innovation & Data Platform Owners
View the webinar on demand!
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