The Dual Imperative: Toward Global Best Practices for Encouraging and Regulating Synthetic Intelligence in Academic and Industrial Settings
Year: 2025
Type: article
Abstract: The rapid integration of synthetic intelligence (SI) across academic and industrial domains presents a dual imperative: fostering innovation while ensuring ethical deployment and regulatory compliance. This comprehensive review synthesizes a decade of research and policy (2014–2025) to analyze the tension between promoting SI adoption and mitigating risks like algorithmic bias and academic misconduct. Through a comparative analysis of divergent international approaches, including the EU's risk-based model and China's development-first strategy, the paper identifies the critical need for a harmonized global standard. The paper's primary contribution is a novel, tiered global governance framework that proposes specific, sector-aware SI use thresholds: a cautious 20–30% in academic settings to preserve intellectual development, and a progressive 50–100% in industrial contexts to drive innovation. This is a practical way to strike ethical ground between technology development and humanism because it is based on the principles of transparency, accountability, and fairness.
Institutions: Federal University Otuoke, University of Port Harcourt
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7220095677