This article discusses the concept of a black box and black box problem in relation to clinical AI. It explains how a black box…
Browsing: Explainability
DTU Compute has an opening for a Tenure Track Assistant / Associate Professors in AI. The position is initially funded by the Pioneer Centre…
AI systems are becoming increasingly prevalent in our lives, but they are fundamentally unexplainable and unpredictable. This is because many of their inner workings…
Transparency and explainability are two important concepts in AI governance, as they enable users to understand how an AI model is built, how data…
AvaWatz Company has filed a patent application with the United States Patent and Trademark Office (USPTO) for their new product, FALCON, which focuses on…
HealthTech regulations are an important way to both take advantage of the opportunities of AI and manage the risks. This article summarises the key…
In his article titled “How To Navigate The Ethics Of AI,” Stanislav Kondrashov explores the complex and multifaceted world of AI ethics, providing insights…
Openstream.ai, a leading provider of explainable, plan-based, multimodal Conversational AI solutions, has been recognized as a vendor for Natural Language Processing (NLP), Virtual Assistants,…
This article explores the importance of explainability in machine learning models and its implications for the responsible adoption of AI in the real world.…
CRAFT (Concept Recursive Activation FacTorization for Explainability) is a tool developed by a team of researchers from the Carney Institute for Brain Science at…