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

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

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-03
DOI
https://doi.org/10.5281/zenodo.17510842
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

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

article en

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

Zenodo (CERN European Organization for Nuclear Research)
Hamline University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 41%
Ethics and Social Impacts of AI
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