Agentic AI Autonomy, Control and Human Responsibility
[TGS-2026065957] Part 5 of the Psychology of AI series. Build the judgement and governance frameworks needed to safely oversee autonomous AI agents in the workplace.
About Course
AI systems are increasingly able to plan tasks, call tools, trigger workflows and act on behalf of the people who deploy them, opening up new capacity for organisations to automate complex, multi-step work rather than single actions. This shift gives businesses the ability to delegate meaningfully — but only where the humans overseeing these systems can define clear boundaries for what the AI is permitted to do on its own.
This course is the fifth in a six-part Psychology of AI series, and can be taken independently of the other five.
It examines the practical governance and psychological questions that arise once AI moves from generating answers to acting autonomously. It covers autonomy boundaries, agency controls, assurance mechanisms, human-reliance indicators, interface risks, AI-to-AI interaction, escalation design and accountability, and is designed for leaders, managers, analysts and compliance professionals who need a working framework for overseeing agentic AI rather than a technical grounding in how it is built.
Learners will leave with a practical Agentic AI Responsibility Map covering autonomy, human control, assurance, indicators, interfaces and accountability.
Delivered through in-person classroom sessions at SIT Punggol Campus, learners can expect a combination of facilitated discussion with hands-on exercises using the Capabara AI Assistant.
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
Who Should Attend
Professionals and managers using AI tools or decision-support systems in daily work
Business leaders, managers and transformation officers leading AI or automation initiatives
Project managers, analysts and domain experts working on AI adoption
Innovators, consultants and entrepreneurs exploring ethical AI design for business value
Professionals seeking a non-technical, cross-functional understanding of AI project design
Minimum Entry Requirements
Preferably a degree or diploma holder with at least 3 years of relevant working experience
The Psychology of AI Series
This course is part of a collection of 6 Psychology of AI courses by SITLEARN. View the full collection here.
Learning Outcomes
By the end of this course, learners will be able to:
- Explain the shift to agentic AI including how AI systems can plan, call tools, trigger workflows and act on behalf of users.
- Analyse impacts on human agency covering control, awareness, accountability and responsibility.
- Identify key agentic AI risks including excessive autonomy, weak oversight, agentic overload, AI-to-AI opacity, poor escalation design and unclear accountability.
- Define autonomy boundaries and controls including human override mechanisms and escalation triggers for agentic AI use cases.
- Apply governance and assurance principles to assess the safety, reliability, trustworthiness and accountability of AI agents.
- Design monitoring indicators and interfaces that help humans understand, intervene in and govern agentic AI behaviour.
- Develop an Agentic AI Responsibility Map covering autonomy, human control, assurance, indicators, interfaces, intentionality and accountability.
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 |
|---|---|---|
| April 2027 | 5 - 6 Apr | 9:00 am – 6:00 pm |
| August 2027 | 5 - 6 Aug | 9:00 am – 6:00 pm |
| December 2027 | 6 - 7 Dec | 9:00 am – 6:00 pm |
| April 2028 | 6 - 7 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
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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