Psychology of AI 3: Psychology of Trust and Human–AI Interaction
About This Course
This two-day standalone course examines how humans develop trust, reliance and emotional responses when interacting with Artificial Intelligence (AI) systems. Participants will explore how design features such as tone, confidence, explanation, feedback, transparency, interface design and conversational style shape user behaviour, judgement and decision-making. The course shifts the focus from simply ‘building trust in AI’ to designing for appropriate reliance: knowing when to rely on AI, question it, verify it, escalate it or override it. Through Capabara-based simulations and case analysis, participants will examine trust, overtrust, undertrust, calibrated trust, overreliance and ethical influence, and develop practical guidelines for transparent, balanced and responsible human–AI interaction.
What You'll Learn
- Explain the psychological and behavioural mechanisms that shape trust, reliance and judgement in human–Artificial Intelligence (AI) interaction.
- Distinguish between trust, reliance, overtrust, undertrust, overreliance and appropriate reliance in AI-supported contexts.
- Analyse how AI design features, including tone, confidence, explanation, feedback, transparency and interface cues, influence user perception and behaviour.
- Identify risks such as automation bias, algorithm aversion, anthropomorphism, persuasive AI, emotional validation and misplaced authority.
- Evaluate the 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.
Entry Requirements
Participants should preferably hold a degree or diploma and have at least three years of relevant work experience.