Ethical Emotionally Intelligent AI Chatbot Design Program
Are you an early-career to mid-level chatbot or interaction designer ready to go beyond understanding how AI works—and start designing chatbot experiences based on how human actually experience AI interaction?
The Ethical Emotionally Intelligent AI (EEI-AI) Chatbot Design Program provides the interdisciplinary foundation via an ecourse, helping participants understand how human-AI interaction failures emerge psychologically, how people develop trust and reliance, and how AI interactions can influence judgment, decision-making, and behavior.
A live masterclass then builds on this foundation by teaching participants how to apply the EEI-AI lens to chatbot design, using interdisciplinary principles drawn from psychological science and relevant human-AI interaction concepts to design conversational AI chatbots that better support trust, human judgment, emotionally appropriate interaction, and more effective human-AI engagement.
The program is designed specifically for early-career to mid-level chatbot or interaction designers who already have foundational experience with prompt engineering, system prompting, or conversational AI development and want to learn how to apply psychological science to improve chatbot design.
This product is fulfilled by American Psychological Association Services, Inc., a Section 501(c)(6) organization under the Internal Revenue Code.
Your learning path
A structured learning experience that starts with foundational understanding first—then moves into practical application.
Online, self-paced ecourse
Learn how AI chatbot interactions influence human thinking, trust, learning, decision-making, and behavior—and why chatbot conversations can unintentionally create psychological, ethical, emotional, cognitive, and trust-related risks.
Through real-world examples and guided analysis, participants learn how human-AI interaction failures emerge psychologically and how to use AI chatbots more effectively using evidence-informed best practices.
Complete the ecourse before attending the live masterclass.
Live masterclass
Build on the interdisciplinary foundation introduced in the ecourse through live instruction, guided discussion, and practical exercises.
Participants apply the EEI-AI framework to chatbot design, learning how to design conversational AI chatbots that better support trust, human judgment, emotionally appropriate interaction, and more effective human-AI engagement.
The masterclass is designed specifically for early-career to mid-level chatbot designers with prompt engineering, system prompting, or conversational AI development experience.
Pricing
Registration
November 17, 2026
December 15, 2026
Get the knowledge and skills to stay ahead
Develop practical skills for understanding how AI chatbot interactions influence human behavior, how understanding human-AI interactions influences AI chatbot design, and learn how to improve both AI usage and chatbot design through the EEI-AI lens.
Recognize hidden human-AI risks
Identify psychological, emotional, ethical, cognitive, and trust-related risks that emerge during AI chatbot interactions
Understand how AI influences human judgment
Learn how trust, reliance, authority bias, and overreliance influence human decision-making during AI interactions
Use AI more effectively
Apply evidence-based best practices that help people use AI more thoughtfully, while maintaining independent judgment and critical thinking
Apply the EEI-AI framework
Use the EEI-AI framework to better understand, evaluate, and improve human-AI interaction outcomes
Apply concepts in practice
Work through realistic exercises, guided discussion, and real-world scenarios
Improve chatbot design outcomes
Learn how human psychology influences chatbot design decisions and why better understanding human-AI interaction leads to better AI experiences
Who should participate?
Professionals using AI chatbots
Professionals using AI chatbots to support everyday work, productivity, decision-making, and learning
Business and innovation leaders
Leaders evaluating AI adoption and workplace AI usage
Emerging chatbot designers
Early-career to mid-level chatbot designers with prompt engineering or system prompting experience seeking psychologically informed design approaches
Educators, researchers, and knowledge workers
Professionals using AI tools for learning, research, and problem-solving
Organizations
Organizations seeking better understanding of how human factors influence AI chatbot usage, adoption, and design outcomes
What you’ll learn
Built on the EEI-AI framework, this learning experience helps participants better understand how AI interactions shape trust, decision-making, critical thinking, and human behavior—while teaching practical strategies for improving AI usage and chatbot design outcomes.
Learning outcomes:
- Identify common psychological, emotional, ethical, cognitive, and trust-related risks in human-AI interactions
- Understand how people interpret, trust, rely upon, and respond to AI-generated conversations
- Recognize how overreliance, authority bias, misplaced trust, and dependency can reduce critical thinking and create unintended harm
- Evaluate chatbot interactions using practical psychology-informed assessment techniques
- Apply evidence-based best practices for using AI chatbots more effectively while maintaining independent judgment
- Apply the EEI-AI framework to improve conversational AI chatbot design decisions
Looking to train multiple employees?
Organizations are using APA’s EEI-AI approach to help their tech teams build safer, more trusted human-chatbot experiences and upskill their entire workforce on more effective AI chatbot use.
Volume licensing options are available for teams and enterprise deployments.
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About the instructor
Tchicaya Robertson, PhD
Tchicaya Ellis Robertson, PhD, is the CEO of TRIBE Consulting LLC, bringing 30+ years of organizational research and measurement expertise and 17+ years in technology to help leaders build AI-ready, operationally excellent organizations and AI-literate employees. With a PhD in applied psychology (industrial & organizational psychology specialization) and MIT training in generative AI for digital transformation, she translates business processes into practical, human-centered AI practices. Her work focuses on responsible AI, with a laser focus on identifying and mitigating bias through rigorous evaluation, operational redesign, and governance-ready methods that teams can actually implement.
About the APA executive
Bernadette Han, PhD
With over two decades of experience driving business growth through learning innovation and leadership development, Bernadette Han has built and scaled enterprise initiatives across global Fortune 500 companies in retail and high technology, publicly traded mid-cap biotech organizations, private-equity-backed professional services firms, and leading academic and medical research universities.
As head of learning and development operations and continuing education at APA, Han leads the association’s enterprise learning business, advancing evidence-based, ethically grounded programs that apply psychological science to real-world challenges. Her work brings insights from multiple branches of psychology to the center of business and organizational performance, linking human well-being and workplace culture with financial results to strengthen leadership, help people flourish, build resilient organizations, and create positive societal impact.
Frequently asked questions
Cancellation and refund policies
Please note that all registrations for this training are non-refundable. If you are unable to attend your scheduled training date, you may reschedule one time for another available session of the same training within the same calendar year.
For more information, see the full cancel and refund policy.