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Fairness in Agentic AI: A Unified Framework For Ethical and Equitable Multi-Agent System by ozgur nayir is a document available to read on EtoBox.

What is Fairness in Agentic AI: A Unified Framework For Ethical and Equitable Multi-Agent System about?

This paper presents a unified framework for ensuring fairness in decentralized multi-agent AI systems, addressing the challenges posed by emergent biases and systemic inefficiencies. It emphasizes that fairness should be treated as a dynamic property shaped by agent interactions, integrating fairness constraints, bias mitigation strategies, and incentive mechanisms. The findings highlight the importance of balancing fairness with efficiency and robustness in real-world applications such as healthcare, urban

Author

ozgur nayir

Language

EN