Toward Responsible and Beneficial AI: Comparing Regulatory and Guidance-Based Approaches -A Comprehensive Comparative Analysis of Artificial Intelligence Governance Frameworks across the European Union, United States, China, and IEEE

TL;DR

This paper compares AI governance frameworks from the EU, US, China, and IEEE, analyzing their approaches to responsible AI development through qualitative content analysis.

Contribution

It provides a comprehensive comparative analysis of different AI governance models across major jurisdictions and organizations.

Findings

Distinctive regulatory philosophies identified

Implementation mechanisms vary significantly

Global engagement strategies differ across frameworks

Abstract

This dissertation presents a comprehensive comparative analysis of artificial intelligence governance frameworks across the European Union, United States, China, and IEEE technical standards, examining how different jurisdictions and organizations approach the challenge of promoting responsible and beneficial AI development. Using a qualitative research design based on systematic content analysis, the study identifies distinctive patterns in regulatory philosophy, implementation mechanisms, and global engagement strategies across these major AI governance ecosystems.