AI Governance, Risk and Assurance
[TGS-2026065810] Part 5 of the Chief Artificial Intelligence Officer and Generative Artificial Intelligence Leadership series. Design AI governance, risk and assurance frameworks that scale trustworthy AI transformation with accountability.
About Course
Generative AI's move from experimentation to enterprise-wide deployment gives organisations the opportunity to scale AI initiatives with structured governance rather than ad hoc oversight. Established frameworks such as ISO/IEC 42001, the EU AI Act, Singapore's Model AI Governance Framework for Generative AI, and the NIST AI Risk Management Framework now give leaders a practical basis for building trust, accountability, and evidence into AI adoption from the outset.
This course is the fifth in a six-part Chief Artificial Intelligence Officer and Generative Artificial Intelligence Leadership executive development series, and can be taken independently of the other five.
Learners will be equipped with the frameworks to design governance, risk, and assurance structures for responsible AI transformation.
This course is structured around seven core topics:
How AI governance, risk, and assurance support responsible innovation and Principled Performance
Key AI governance and regulatory frameworks including ISO/IEC 42001, ISO/IEC 5338, ISO/IEC 27701, the EU AI Act, Singapore's Model AI Governance Frameworks, and the NIST AI Risk Management Framework
Risk classification using responsible AI principles, EU AI Act risk categories, and NIST AI RMF concepts
AI governance structures such as governance committees, accountability matrices, and escalation pathways
Lifecycle assurance thinking covering evidence, testing, monitoring, and auditability
Privacy, security, and ethical issues in AI systems and GenAI-enabled workflows
Developing an AI Governance, Risk and Assurance Framework.
Delivery is classroom-based over two days, combining lecture on frameworks, case study discussion, and hands-on exercises using Straits Interactive's no-code GenAI platform, Capabara.
This course is developed in partnership with Straits Interactive, a leading edtech company committed to enabling organisations to thrive in a business landscape defined by Generative AI.
Skills you’ll gain
Artificial Intelligence
AI Governance
AI and Machine Learning
Leadership and Communication
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Who Should Attend
Senior leaders and C-suite executives responsible for digital transformation
Department heads and business unit leaders assessing AI's strategic implications
Professionals aspiring to Chief AI Officer or AI governance leadership roles
AI and data governance officers, and transformation and innovation managers
Consultants, advisors and trainers supporting organisations in AI adoption, governance, transformation or capability development
Minimum Entry Requirements
Preferably a degree or diploma holder with at least 3 years of relevant working experience
The CAIO & GenAI Leadership Series
This course is part of a collection of 6 Chief Artificial Intelligence Officer and Generative Artificial Intelligence Leadership executive development series by SITLEARN. View the full collection here.
Learning Outcomes
By the end of this course, learners will be able to:
- Explain AI governance, risk, and assurance support for responsible innovation, trustworthy scaling, and Principled Performance.
- Compare key AI governance and regulatory frameworks, including ISO/IEC 42001, ISO/IEC 5338, ISO/IEC 27701, the EU AI Act, Singapore's Model AI Governance Frameworks, and the NIST AI Risk Management Framework.
- Classify AI risks using risk-based approaches, including responsible AI principles, EU AI Act risk categories, and NIST AI RMF concepts.
- Design AI governance structures such as governance committees, accountability matrices, human oversight models, escalation pathways, incident response processes, and review checkpoints.
- Apply lifecycle assurance thinking to define evidence, testing, monitoring, documentation, auditability, and assurance requirements across AI system stages.
- Identify privacy, security, and ethical issues in AI systems and GenAI-enabled workflows, including accountability, human oversight, and transparency concerns.
- Develop an AI Governance, Risk and Assurance Framework that supports responsible AI adoption, evidence-based oversight, continuous monitoring, and trustworthy scaling.
Teaching Team
Dr. Kevin Shepherdson
Founder & CEO, Straits Interactive
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Dr. Celine Chew
Chief AI Learning Officer, Straits Interactive
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Course Details
Schedule
| Course Run | Dates | Time |
|---|---|---|
| January 2027 | 25 - 26 Jan | 9:00 am – 6:00 pm |
| April 2027 | 22 - 23 Apr | 9:00 am – 6:00 pm |
Certificate and Assessment
A Certificate of Attainment will be issued to participants who:
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Mode of Assessment: Assignment (45 minutes)
Fee Structure
The full fee for this course is S$2,616.00.
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$784.80 |
| Singapore Citizen (40 & Above) Funded under SkillsFuture Mid-Career Enhanced Subsidy (MCES) | 90% | S$304.80 |
| Singapore PR / LTVP+ Holder | 70% | S$784.80 |
| Non-Singapore Citizen | Not Eligible | S$2,616.00 |
Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.
For Organisations
Interested in this course for your business or team?
Tailored to your organisation's specific training needs, we can help you design and develop custom courses to grow key talent and build specialist expertise to meet the future demands of work.
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