Explainability

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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AI Ethics

Machine Learning Interpretability Toolkit

Understanding what your AI models are doing is super important both from a functional as well as ethical aspects. In this episode we will discuss what it means to develop AI in a transparent way. Mehrnoosh introduces an awesome interpretability toolkit which enables you to use different state-of-the-art interpretability methods to explain your models decisions. […]

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Machine Learning

Tools to Scale Your Production Machine Learning

As a machine learning project grows, so should its infrastructure. In this talk, Alejandro Saucedo covers some of the key trends in machine learning operations, as well as libraries to watch in 2019. The talk is based on the “Awesome Machine Learning Operations” list maintained by The Institute for Ethical AI & Machine Learning, and […]

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