In neuroscience, interpretability often implies an alignment to brain constructs. Conversely, in AI, the emphasis is on making the models’ decision-making process more transparent and explicable to a ...

We introduce a framework to analyse interpretability in deep learning, by drawing on a formal notion of model semantics from the philosophy of science. We argue that interpretability is only one ...

Dr. Adi Hod. Cofounder & CEO at Velotix. Driven by a passion for data and cybernetic AI. Entrepreneur, professor, leader & innovator. AI is fast becoming embedded in industries, economies and lives, ...

Rob Futrick, Anaconda CTO, drives AI & data science innovation. 25+ years in tech, ex-Microsoft, passionate mentor for STEM diversity. As artificial intelligence (AI) models grow in complexity, ...

Jumpmind Chief Information Security Officer Eric Zielinski will speak on AI interpretability risk management at the FIRST Annual Conference 2026 (FIRSTCON26) taking place in Denver this week. During ...

Machine learning is taking the world by storm, helping automate more and more tasks. As digital transformation expands, the volume and coverage of available data grows, and machine learning sets its ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

This talk will attempt to demystify, for a non-technical audience, the current state of neural network explainability and interpretability, as well as trace the boundaries of what is in principle ...