Explainable Ai

TL;DR — Experience the power of interpretability with “PyTorch, Explain!” — a Python library that empowers you to implement state-of-the-art and interpretable concept-based models! [GitHub] Tutorials inspired by methods presented in: ICML 2020 paper “Concept Bottleneck Models”; NeurIPS 2022 paper “Concept Embedding Models: Beyond the accuracy-explainability trade-off”; ICML 2023 paper…

Quick Background ( … for those who came in late) This is Part 2 of “A ChatGPT guide for Techno-Executives”. In the next 3 weeks, I have teed up a set of (~6) Byte-sized, Targeted, Nimble, Visual (with appropriate pictures) and Snackable (each blog, a few short pages, goes well with a few shots of a single malt, preferably triple…

An Overview of the Principles of Explainability — Machine learning (ML) has great potential for improving processes and products. A challenge is to explain the predictions of the ML algorithms. Trust and transparency are central arguments for the explainability of decision findings by an ML model. In this article, we introduce the basic concepts of Explainable Artificial Intelligence…

Interview with Yotam Azriel, CTO at TensorLeap — What’s AI Episode 13 — Join us this week for a fascinating conversation on the What’s AI podcast, where Yotam Azriel, co-founder of TensorLeap, shares his fascinating journey, insights, and vision for the future of Explainable AI. Discover what the power of passion, curiosity, and focus can accomplish! …

Understanding and visualizing intermediate layers of CNN — We all know that Convolutional Neural Networks (CNNs) are widely recognized and utilized for image classification tasks, the reasons behind their effectiveness and the specific patterns learned by each layer of the CNN remain somewhat mysterious. In this article, I will try to explore the visualization of the outputs of…

During this year, I presented Vertex Explainable AI several times. One of the most frequent questions I received was: Can I explain a text model with Vertex AI? In this blog post of the Vertex AI Q&A series , I will show you how to get feature-based explanations using Vertex…

Why our trust in AI models varies, despite all being black boxes Imagine an AI that, using just a few photos of your face, can predict your sexual orientation. Consider a model interpreting your current mood from your facial expressions, even predicting your next move in real time. Now, think…

I have been invited to speak at the Manchester University 2023 Conference on “Advances in Data Science and AI” on 13th of June. I will be talking about my favourite topic of the past half a year “Why we need Explainable Conversational and Generative AI”. This year the focus will…

I recently was invited to be a guest at MICA’s lecture series, an intimate venue for graduate students in MICA’s Master in Professional Studies program in UX Design to meet with practitioners in the field and learn about their work. …