Duration: 60 Minutes

Description

Focuses on making AI decisions understandable, explainable, and transparent to stakeholders.

Topics Covered

  • Explainable AI (XAI)
  • Transparency
  • Decision Traceability
  • AI Documentation
  • Model Interpretability
  • Governance Reporting

What Will I Learn?

You will learn how to:

  • Explain AI decisions.
  • Evaluate transparency.
  • Improve stakeholder confidence.
  • Strengthen reporting.
  • Support regulatory compliance.

Learning Outcomes

Participants will:

  • Assess explainability.
  • Improve transparency.
  • Recommend documentation standards.
  • Support accountable AI.

SkillSim Simulation

The Black Box Challenge

Determine whether an AI model should be deployed despite limited explainability.

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