Course Information
Schedules
- 23 Jan 2026 (Fri) 1:00 AM - 2:15 AM
Registration period
14 Nov 2025 (Fri) - 22 Jan 2026 (Thu)
Price
HKD 1,934
(Live $ 149
Recorded $ 199
Live + Recorded $ 249)
(Live $ 149
Recorded $ 199
Live + Recorded $ 249)
Course Level
Study Mode
Duration
1.15 Hour(s)
Language
English
Location
-
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Course Overview
Description
Artificial Intelligence (AI) is redefining how behavioral scientists understand, predict, and influence human behavior. This 75-minute session explores the intersection of data science, psychology, and machine learning, showing how AI tools can uncover hidden behavioral patterns, enhance experimental design, and improve decision-making at scale. Participants will also learn to apply the S-T-E-A-R Mind Framework (Situation–Thought–Emotion–Action–Result) to self-coaching and critical thinking. This reflective practice helps professionals 'clean the mind' in the AI era, reducing bias, improving judgment, and maintaining ethical awareness amid automation. The webinar examines real-world use cases, from mental health support to marketing, policy, and organizational behavior- and provides frameworks for responsible AI implementation that respect human agency.
Course Objectives
The objective of this course is to equip participants with a comprehensive understanding of how Artificial Intelligence (AI) is transforming behavioral science and human decision-making. Through this 75-minute session, participants will learn to apply data-driven insights and the S-T-E-A-R Mind Framework (Situation–Thought–Emotion–Action–Result) to analyze, predict, and ethically influence human behavior. The course aims to enhance participants’ ability to integrate AI tools into behavioral research and practice, promoting ethical awareness, reducing bias, and fostering responsible innovation across domains such as mental health, marketing, policy, and organizational behavior.
Target Audience
Behavioral scientists, psychologists, data analysts, organizational development professionals, learning designers, and leaders interested in the ethical and practical applications of AI to human behavior research and practice.
Basic Understanding
Familiarity with basic behavioral science concepts (motivation, cognition, or decision-making) and general awareness of data or AI terminology. No technical background required.
What You’ll Learn
Course Content
- Introduction: The Convergence of AI and Behavioral Science
- How Machine Learning and Behavioral Models Inform One Another
- Emerging Interdisciplinary Research Trends
- Core AI Concepts for Behavioral Professionals
- Overview of Supervised and Unsupervised Learning
- Predictive Analytics, Natural Language Processing, and Affective Computing
- Understanding Data-Driven Bias and Interpretability
- Behavioral Data in the Age of AI
- New Forms of Behavioral Data (Digital Traces, Sentiment, Micro-Expressions)
- Ethical Use of Human Data and Privacy Considerations
- The S-T-E-A-R Mind Framework: Self-Coaching for the AI Era
- Situation–Thought–Emotion–Action–Result Model Explained
- How Cognitive Hygiene Reduces Bias in Behavioral Interpretation
- Applying S-T-E-A-R for Emotional Regulation and Ethical Decision-Making
- Applications in Practice
- AI in Behavioral Health and Therapy
- AI in Consumer Behavior and Nudging Design
- AI for Social Good: Public Policy, Education, and Workplace Engagement
- Ethics, Bias, and Human-Centered Design
- Responsible AI Frameworks for Behavioral Professionals
- Aligning AI Outcomes with Human Values and Fairness Principles
- The Future of AI-Augmented Behavioral Science
- Hybrid Intelligence: Humans + Machines in Understanding People
- Implications for Leadership, Policy, and Organizational Design
- Closing Reflection
- Using the S-T-E-A-R Model for Ongoing Ethical Reflection
- Key Takeaways and Questions for Continued Learning
