A course on responsible AI, data governance, privacy, quality, and oversight of territorial systems.
What Will You Learn?
Apply responsible AI principles to territorial data and decision-making.
Identify risks related to bias, privacy, transparency, and accountability.
Propose governance and oversight measures for AI use cases.
Material Includes
Course preparation guide and lessons
Digital study resources for independent learning
Formative review assessment
Requirements
Estimated duration: 10 hours. This is an indicative proposal pending approval by GITP.
No unconfirmed eligibility requirements are added. Please consult GITP's current certification framework.
Course assessments are formative and do not replace the official exam, assessment, or certification process.
Audience
For professionals in public policy, planning, data science, GIS, and institutional management who assess or oversee territorial AI applications.
Course curriculum
GITP-3600 Preparation
Suggested learning pathway based on the GITP framework. The proposed training materials are subject to institutional validation and do not constitute an official examination.