Governing Responsible AI in Practice (SF)
About This Course
This 5-day course offers a hands-on, immersive experience focused on applying governance principles and responsible AI practices in real-world scenarios. Through guided case studies, peer collaboration, and mentorship, learners will conduct risk assessments, develop governance frameworks, and propose actionable strategies for responsible AI deployment. By the end of the course, participants will present their solutions to the assessor for feedback, demonstrating their ability to integrate legal, ethical, technical, and business considerations into the practical governance of AI systems.
Participants will gain hands-on experience in governing responsible AI in real-world contexts. They will assess AI-specific cybersecurity and operational risks, develop and justify risk treatment plans aligned with both business objectives and regulatory requirements, and apply data privacy, ethical, and compliance standards in practical scenarios. This project-based approach will enable learners to translate governance principles into actionable strategies for responsible AI deployment.
What You'll Learn
LO1. Develop AI ethics mitigation plans that integrate governance principles and organizational culture to prevent potential ethics and governance breaches.
LO2. Implement AI monitoring procedures and ethical safeguards to ensure project adherence to governance principles and prevent organizational breaches.
LO3. Analyze potential AI ethical conflicts to communicate the organizational implications of governance breaches to project teams.
Entry Requirements
Professional Qualification and Other Diploma
Candidates who do not meet the above requirements will be accessed by interview, and outcome will be on case by case basis.