Work

Shah Jubaer's Principle of Ethical-Algorithmic Governance (SJ-PEAG)

Year: 2026

Type: article

Abstract: This patent analyzes the ethical and legal ramifications of Artificial Intelligence (AI) in governance, concentrating on algorithmic decision-making within political and administrative frameworks. Although AI provides efficiency, scalability, and predictive capacities, it simultaneously presents ethical dilemmas, biases, and accountability issues. This research presents Shah Jubaer's Principle of Ethical-Algorithmic Governance (SJ-PEAG), a framework designed to include AI into governance while ensuring justice, transparency, accountability, public engagement, and adaptive sustainability. The research examines the philosophical underpinnings and legal obstacles, and illustrates theoretical results using algorithmic modeling to ensure ethical governance over the next 40 to 50 years.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18676421

Author: Jubaer, Shah Mohammad Omer Faruqe

Institution: Leading University

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W7130359204

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