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AI–Human Ethical Interface (M7): Building Procedural Intelligence Through Empathic Design

Authors: Behrouzi, hamed;

AI–Human Ethical Interface (M7): Building Procedural Intelligence Through Empathic Design

Abstract

This paper introduces the AI–Human Ethical Interface (M7) framework, designed to bridge human perception, procedural intelligence, and ethical behavior in digital systems.Unlike traditional AI models that focus solely on data optimization, M7 emphasizes empathy-driven design and contextual ethical understanding through interaction and movement. The study argues that every individual holds a moral responsibility to pass their personal data through an ethical filter before public validation. It explores how AI systems — particularly Google’s contextual algorithms - evaluate self-verified data, and how this process can generate structured, trustworthy digital identities. By embedding ethical reasoning inside procedural systems, M7 demonstrates that empathy and conscious interaction can guide AI toward more humane and reliable decision-making. Author: Hamed BehrouziORCID: https://orcid.org/0009-0004-8130-1178Website: https://hamedbehrouzi.com Keywords: AI Ethics, Procedural Animation, Empathic Design, Digital Identity, Human-AI Interaction, M7 Framework License: Creative Commons Attribution 4.0 (CC BY 4.0)Publisher: Hamed Behrouzi AI Identity Lab / ZenodoAccess: Open Access

Keywords

M7 Framework, Knowledge Graph, Human–AI Interaction, Procedural Animation, Empathic Design, AI Ethics, Digital Identity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green