DFAS-FEP v1.1 – Governance Summary: A Responsible AI Code for Financial Modelling and Authorship Integrity

This governance summary introduces DFAS-FEP v1.1, the first codified Code of Conduct for responsible AI use in financial modelling. It defines intellectual boundaries for AI assistance, ensures transparency in model authorship, and establishes classification standards for AI-augmented outputs within the DFAS (Dynamic Financial Applied Science) framework. This document serves as the official governance brief for DFAS-FEP v1.1. It provides a summary of ethical principles, version history, and citation guidance for researchers, institutions, and journals adopting AI-integrated financial models. 🔗 Full conceptual paper available on SSRN:Alaali, H. (2025). The DFAS-FEP Protocol: A Global Governance Standard for Responsible AI Use and Authorship Integrity in Financial Modelling.https://doi.org/10.2139/ssrn.5260517 📌 Version: DFAS-FEP v1.1📅 Date: May 2025🧾 License: Creative Commons Attribution (CC BY 4.0)📂 Use Case: Timestamped registration, academic reference, and institutional adoption of DFAS-FEP ethical governance logic. Hasan Mohamed Husain AlaaliAIA, CPA, IPA Fellow MemberFounder and Architect of DFAS (Dynamic Financial Applied Science)Creator of AFMF (Alaali Financial Models Framework)ORCID: 0009-0007-2489-9435Email: [email protected]: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=7407757Zenodo Archive: https://zenodo.org/search?page=1&size=20&q=Hasan%20Mohamed%20Husain%20Alaali