{
  "id": 4506,
  "url": "https://arxiv.org/abs/2605.11595v1",
  "title": "Native Explainability for Bayesian Confidence Propagation Neural Networks: A Framework for Trusted Brain-Like AI",
  "summary": "The EU Artificial Intelligence Act (Regulation 2024/1689), fully applicable to high-risk systems from August 2026, creates urgent demand for AI architectures that are simultaneously trustworthy, transparent, and feasible to deploy on resource-constrained edge devices. Brain-like neural networks built on the Bayesian Confidence Propagation Neural Network (BCPNN) formalism have re-emerged as a credible alternative to backpropagation-driven deep learning. They deliver state-of-the-art unsupervised ",
  "authors": "Georgios Makridis, Georgios Fatouros, John Soldatos, George Katsis, Dimosthenis Kyriazis",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-05-12T06:21:19.000Z",
  "fetched_at": "2026-07-14T16:31:03.579Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4506",
  "original_url": "https://arxiv.org/abs/2605.11595v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}