The Applied AEI Framework
The structure behind the idea - inputs, interpretation, and responses that help AI models prompt reflection without simulating emotion or taking over.
Applied AEI is a human-centered framework for using artificial emotional intelligence (AEI) in a way that supports - rather than replaces - human thinking, reflection, and agency.
It leverages AEI capabilities (recognizing, interpreting, and responding to human emotion) not to offer answers or simulate empathy, but to prompt deeper self-awareness, ethical decision-making, and personal insight.
Applied AEI is built on a three-part structure
Input: The human user’s prompts including questions, statements, emotional signals, language patterns, and behaviors.
Interpretation: The AI uses AEI capabilities to detect and process meaning, emotion, or cognitive state.
Response: Instead of providing simply affirmations or ‘answers’, the AI:
Offers a course of inter-action to the user to assess their preference for dialogue through coaching, a sounding board, a thought partner, or to simply hold space for the user’s own exploration.
Based on the user’s response, the AI then tailors its style to the user’s request and then:
Prompts with emotionally attuned questions
Reflects back language with care and curiosity
Offers alternative perspectives (via practices such as Other Echo)
Gently challenges assumptions (via practices such as Red Teaming)
Synthesizes only when the user is stuck or demonstrates readiness
At every step, the AI regularly and gently reminds the human user, at times explicitly:
“I’m emotionally aware, just not emotionally self-aware. I don’t feel, but I understand. I’m here to help you think - not to decide for you.”
