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Codex Ethicae Artificiality Yousefi Arash Yousefi (2025)

Year: 2025

Type: report

Abstract: This technical note presents the original formulation of the Unified Multi-Objective Loss Function developed by Arash Yousefi (2025), with SHA256 fingerprint for authentication and verification. Hash (SHA256): `e201c8ff6976fcdcf2d35eea365889d321df8af4d2181b9a350aad17f2d07bfe` The loss function aims to balance fairness, robustness, explainability, and sparsity using a KKT-constrained optimization framework. This version is formally timestamped, DOI-verified, and may be cited as intellectual property of Arash Yousefi. Annex B.pdf (KKT Formulation Details)

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15231380

Authors: Yousefi, Arash, IT&Science GmbH. Switzerland

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6930616294

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