Data Governance and Responsible Artificial Intelligence
Apply data governance framework to ensure the integrity, transparency, and fairness of GenAI system. Learn how to embed observability into AI workflows--tracking provenance, bias, quality metrics, and access rights across the AI lifecycle. Connect the socio-technical principles of data governance with the operational reality of GenAI to implement trust-by-design practices within enterprise AI programs.
Prerequisites & course information
Apply data governance framework to ensure the integrity, transparency, and fairness of GenAI system. Learn how to embed observability into AI workflows--tracking provenance, bias, quality metrics, and access rights across the AI lifecycle. Connect the socio-technical principles of data governance with the operational reality of GenAI to implement trust-by-design practices within enterprise AI programs.
Sources
- Course catalogue ↗2026-2027