XAI

AI Computer Vision

Explainable Computer Vision with Grad-CAM

Siraj Raval explores why does a computer algorithm classify an image the way that it does? This is a question that is critical when it comes to AI applied to diagnostics, driving, or any other form of critical decision making. In this video, he raises awareness around one technique in particular that I found called […]

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8 Explainable AI Frameworks Driving A New Paradigm For Transparency In AI
AI Ethics TensorFlow

8 Explainable AI Frameworks Driving A New Paradigm For Transparency In AI

At a recent talk about the basics mechanics of neural networks, the topic of explainable AI came up. Basically, no one can as of yet say for certain why a deep learning model makes the choices it does. There’s a lot of work being done in this space and here’s a great round up of […]

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Computer Vision Neural Networks

Exploring And Attacking Neural Networks with Activation Atlases

Two Minute Papers has a look at neural networks, visualization, and how they really work under the hood. Check out this site to explore the examples: https://distill.pub/2019/activation-atlas/

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Shark or Baseball? Inside the ‘Black Box’ of a Neural Network
AI Research

Shark or Baseball? Inside the ‘Black Box’ of a Neural Network

Generally speaking, Neural Networks are somewhat of a mystery. While you can understand the mechanics and the math that powers them, exactly how the network comes to its conclusions are a bit of a black box. Here’s an interesting story on how researchers are trying to peer into the mysteries of a neural net. Using […]

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AI Neural Networks

Building Explainable Machine Learning Systems

Neural networks have proven themselves very capable of performing tasks that have eluded researchers for years. When you find out that no one really knows why neural networks behave the way they do, it only adds to their mystique. The fields of eXplainable AI (XAI) and Fairness, Accountability, and Transparency in Machine Learning (FAT/ML) aim […]

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