Learn how AI can shape human thinking, trust, judgment, and behavior—and why understanding these overlooked dynamics changes how we use and design conversational AI
AI chatbots are transforming how people work, learn, solve problems, make decisions, and interact with technology. Yet most conversations about AI focus almost entirely on what the technology can generate and overlook how AI interactions influence human thinking, trust, reliance, judgment, and behavior.
The EEI-AI Chatbot Design learning program begins with an ecourse helping people understand the hidden psychological, ethical, and human interaction risks that emerge when people engage with conversational AI chatbots—and why these overlooked interaction failures often shape real-world outcomes more than the technology itself. It then culminates in a hands-on virtual training where people deepen their understanding of chatbot design by designing and testing a prototype chatbot using the EEI-AI lens.
The EEI-AI lens is built on a uniquely developed interdisciplinary framework—drawing on psychological science and concepts from relevant computer science domains—to better understand, evaluate, and improve human-AI interaction.
This learning program is suitable for anyone wanting to become a more effective AI user or someone looking to learn how to design better chatbot experiences through the EEI-AI lens.
This product is fulfilled by American Psychological Association Services, Inc., a Section 501(c)(6) organization under the Internal Revenue Code.
For more information
Explore your learning options
Whether you’re looking to better understand how chatbot behavior is psychologically risky, how you can interact with AI more safely, or you’re ready to build conversational AI using a psychologically informed framework, EEI-AI offers learning experiences designed for different stages of your AI journey.
Foundational ecourse
Online, self-paced
Build a foundation for understanding how humans psychologically experience interactions with AI chatbots—and learn how to use AI more effectively based on known behavioral risks, biases, and human-AI interaction patterns.
- Identify common psychological, emotional, ethical, cognitive, and trust-related risks during human-AI chatbot interactions
- Understand how people interpret, trust, rely upon, and respond to AI chatbot conversations
- Learn practical ways to diagnose human-AI interaction failures and evaluate chatbot conversations more effectively
- Walk away with a science brief, practical tools, best practices, and evidence-based resources
$395.00
$270 for APA members
EEI-AI Chatbot Design Program
Virtual learning + live, hands-on learning experience
Combines the self-paced ecourse with a live virtual masterclass where you’ll continue your learning through live instruction, guided discussion, and hands-on practice designed specifically for chatbot designers ready to apply the EEI-AI lens to real-world design decisions.
- Complete the self-paced foundational ecourse first (approximately 4–5 hours)
- Apply interdisciplinary psychological science principles and human-AI interaction concepts through live Masterclass exercises
- Learn how to apply the EEI-AI lens to design chatbot experiences that better support trust, human judgment, emotionally appropriate interaction, and more effective human-AI engagement
$1,165.00
$815.00 for APA members
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.
Why choose EEI-AI?
APA brings decades of expertise in psychological science to help people and organizations better understand the complex human dynamics that emerge when interacting with AI—including trust formation, emotional interpretation, behavioral reliance, decision-making, moral judgment, and the broader human-AI interaction patterns shaping how AI affects people in real-world settings.
Grounded in interdisciplinary science
Combining established psychological science with interdisciplinary concepts drawn from relevant computer science domains to better understand how humans interact with conversational AI chatbots
Ethical thinking integrated throughout
Supporting more thoughtful decisions around how AI chatbot experiences are used, evaluated, designed, and experienced in real-world environments
A human-centered approach
Helping people and organizations better understand how humans think, feel, interpret, trust, and respond during AI chatbot interactions
Reviewed by experts
Developed through interdisciplinary collaboration involving experts in psychological science, AI, ethics, legal review, and learning design