Theory 2 items

Everything Theory

📑 arXiv 2d ago

Towards Rigorous Explainability by Feature Attribution

Advocates for rigorous symbolic XAI methods over non-symbolic approaches like SHAP and Shapley values, which provably lack rigor and can mislead in high-stakes decisions. The paper overviews symbolic methods for assigning relative feature importance that provide formal guarantees instead of heuristic explanations.

Interpretability Explainability Theory

📑 arXiv 1w ago

Beyond Arrow's Impossibility: Fairness as an Emergent Property of Multi-Agent Collaboration

Demonstrates that fairness can emerge as a property of multi-agent collaboration, potentially circumventing Arrow's impossibility theorem limitations in collective decision-making. This theoretical contribution suggests that distributed AI systems might achieve fair outcomes through collaboration mechanisms that single-agent or voting-based systems cannot.

Agents Fairness Theory

Towards Rigorous Explainability by Feature Attribution ↗

Beyond Arrow's Impossibility: Fairness as an Emergent Property of Multi-Agent Collaboration ↗

Towards Rigorous Explainability by Feature Attribution

Beyond Arrow's Impossibility: Fairness as an Emergent Property of Multi-Agent Collaboration