Mechanistic Interpretability Goes Mainstream: The 2026–2028 Roadmap
Explore the 2026-2028 roadmap for mechanistic interpretability in AI, focusing on breakthroughs and the shift to causal faithfulness.
4 articles
Explore the 2026-2028 roadmap for mechanistic interpretability in AI, focusing on breakthroughs and the shift to causal faithfulness.
Explore a 30-day guide for ML teams to evaluate causal faithfulness using LIBERTy, bridging the gap between model plausibility and true explanations.
Explore how emerging research in causal interpretability is set to redefine AI explanations by 2026, addressing the gap between perception and model truth.
Explore how LIBERTy's innovative probes challenge the reliability of explanations provided by language models through activation patching and causal mediation.
Advertisement
Vous pouvez choisir quels cookies vous souhaitez autoriser. Certains cookies sont nécessaires au fonctionnement du site.
Ces cookies sont essentiels au fonctionnement du site (navigation, préférences de langue, etc.).
Nous aident à comprendre comment les visiteurs utilisent notre site pour l'améliorer.
Permettent d'afficher des publicités pertinentes. Requis pour afficher Google AdSense.