Beyond Post-hoc Explanation: Toward Glassbox AI via Probabilistic Mediation
A new research paper proposes a "Glassbox Framework" to address the opacity of large language models, particularly in high-stakes applications like law and healthcare. The framework integrates Bayesian networks as transparent mediation layers, enabling auditable reasoning traces and uncertainty quantification. This approach shifts from post-hoc explanations to ante-hoc probabilistic mediation for more accountable AI systems. AI
IMPACT Proposes a new architectural approach for more transparent and accountable AI in critical sectors.