AI Governance: Navigating Emergent Harms in Complex Systems
Analysis
This ArXiv article likely delves into the critical need for governance frameworks that account for the emergent and often unpredictable harms arising from complex AI systems, moving beyond simplistic risk assessments. The focus on complexity suggests a shift towards more robust and adaptive regulatory approaches.
Key Takeaways
- •Highlights the limitations of traditional, linear risk assessment in the context of complex AI systems.
- •Emphasizes the importance of understanding and mitigating emergent harms.
- •Advocates for governance models that address the inherent complexity of AI.
Reference
“The article likely discusses the transition from linear risk assessment to considering emergent harms.”