Psychology of Trust and Human–AI Interaction
[TGS-2026065959] Part 3 of the Psychology of AI series. Develop the judgement to calibrate trust and design responsible human–AI interaction.
About Course
AI systems are increasingly embedded in everyday work processes, and this now gives organisations the opportunity to strengthen decision quality by building stronger human judgement around how AI is used. As professionals interpret AI-generated outputs and exercise oversight in real-world decisions, calibrated trust and effective human–AI interaction become a source of confidence and better outcomes rather than a source of risk.
This course is the third in a six-part Psychology of AI series, and can be taken independently of the other five.
Learners will examine how professionals develop trust, reliance and emotional responses when interacting with AI systems, and explores how design features such as tone, confidence, explanation, feedback, transparency and conversational style shape user judgement and decision-making.
Through Capabara-based simulations and case analysis, learners examine trust, overtrust, undertrust, calibrated trust, overreliance and ethical influence, and develop practical guidelines for transparent, balanced and responsible human–AI interaction.
Delivered through in-person classroom sessions at SIT Punggol Campus, learners can expect a combination of case analysis with hands-on use of the Capabara AI Factory platform.
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
Managers, leaders and professionals implementing AI systems within organisations
HR, L&D and compliance professionals responsible for technology adoption and user engagement
Designers, product managers and developers working on AI interfaces and user experiences
Consultants, educators and researchers interested in ethical technology and behavioural design
Individuals seeking to understand how human perception and bias influence AI trust and usage
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 psychological mechanisms of trust that shape reliance and judgement in human–AI interaction.
- Distinguish types of trust and reliance, including overtrust, undertrust, overreliance and appropriate reliance in AI-supported contexts.
- Analyse AI design features and their influence on user perception and behaviour, including tone, confidence, explanation, feedback, transparency and interface cues.
- Identify risks in human–AI interaction, such as automation bias, algorithm aversion, anthropomorphism, persuasive AI, emotional validation and misplaced authority.
- Evaluate ethical and socio-technical implications of human–AI interaction across different workplace and organisational contexts.
- Apply behavioural and human-centred design principles to support calibrated trust, user understanding, contestability and responsible reliance.
- Design a Trust and Reliance Blueprint that translates these principles into practical guidelines for responsible human–AI interaction.
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 |
|---|---|---|
| February 2027 | 22 - 23 Feb | 9:00 am – 6:00 pm |
| June 2027 | 28 - 29 Jun | 9:00 am – 6:00 pm |
| October 2027 | 19 - 20 Oct | 9:00 am – 6:00 pm |
| February 2028 | 10 - 11 Feb | 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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