Psychology of AI 6: Human–AI Governance Lab
Training Provider: SINGAPORE INSTITUTE OF TECHNOLOGY
Course Reference: TGS-2026065960
S$720
Original: S$2,400
Save S$1,680
About This Course
This standalone two-day capstone studio enables participants to apply principles from the Psychology of Artificial Intelligence (AI) framework to a real-world human–AI collaboration challenge. Working in cross-functional teams, participants design, test and present a responsible AI solution or framework demonstrating measurable value and ethical integrity. Using Capabara tools, they develop an end-to-end prototype, workflow or policy model and articulate business return on investment and return on integrity. The course serves as both a standalone applied studio and the culminating capstone for the Psychology of AI Series.
What You'll Learn
By the end of this two-day course, participants will be able to:
- Integrate psychological, ethical and governance principles into a practical human– Artificial Intelligence (AI) collaboration framework or solution.
- Design and prototype an AI-enabled process, decision-support tool or policy intervention using Capabara tools.
- Evaluate the ethical, operational and business impact of their AI solution using International Organization for Standardization (ISO)-aligned frameworks.
- Defend their proposed solution with evidence-based reasoning and measurable Return on Investment (ROI) and Return on Integrity (ROIn) metrics.
- Reflect critically on lessons learned, professional growth and the organisational implications of responsible AI adoption.
- Integrate psychological, ethical and governance principles into a practical human– Artificial Intelligence (AI) collaboration framework or solution.
- Design and prototype an AI-enabled process, decision-support tool or policy intervention using Capabara tools.
- Evaluate the ethical, operational and business impact of their AI solution using International Organization for Standardization (ISO)-aligned frameworks.
- Defend their proposed solution with evidence-based reasoning and measurable Return on Investment (ROI) and Return on Integrity (ROIn) metrics.
- Reflect critically on lessons learned, professional growth and the organisational implications of responsible AI adoption.
Entry Requirements
Participants should preferably hold a degree or diploma and have at least three years of relevant work experience.
Course Details
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