Summary
Reading full research (with a complete reference list)
This article examines how voluntary governance frameworks in Corporate Social Responsibility (CSR) and AI domains can complement each other to create more effective AI governance systems. By comparing ISO 26000 and NIST AI RMF, I identify:
Key findings:
- Current AI governance lacks standardized reporting mechanisms that exist in CSR
- Framework effectiveness depends on ecosystem integration rather than isolated implementation
- The CSR ecosystem model offers valuable lessons for AI governance
Main issues identified:
- Communication barriers between governance and technical implementation
- Rapid AI advancement outpacing policy development
- Lack of standardized metrics for AI risk assessment
Recommendations:
- Develop standardized AI risk reporting metrics comparable to GRI standards
- Create sector-specific implementation modules while maintaining baseline comparability
- Establish clear accountability mechanisms and
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