Explainable AI: A guide for making black box machine learning models explainable

In the future, AI will explain itself, and interpretability could boost machine intelligence research. Getting started with the basics is a good way to get there, and Christoph Molnar's book is a good place to start.
Read More →Data governance and context for evidence-based medicine: Transparency and bias in COVID-19 times

In the early 90s, evidence-based medicine emerged to make medicine more data-driven. Three decades later, we have more data, but not enough context, or transparency.
Read More →Garbage in, garbage out: Data science, meet evidence-based medicine

Did you ever wonder how data is used in the medical industry? The picture that emerges by talking to the experts leaves a lot to be desired.
Read More →Scientific fact-checking using AI language models: COVID-19 research and beyond

Fact or fiction? That's not always an easy question to answer. Incomplete knowledge, context and bias typically come into play. In the nascent domain of scientific fact checking, things are complicated.
Read More →AI chips in 2020: Nvidia and the challengers

Now that the dust from Nvidia's unveiling of its new Ampere AI chip has settled, let's take a look at the AI chip market behind the scenes and away from the spotlight
Read More →Data science vs the COVID-19 pandemic: Flattening the curve — but how?

Whether they are epidemiologists or not, a few people have attempted to use data and predictive models to model the COVID-19 pandemic. Let's look at the models, the data, and the assumptions and implications that come with them
Read More →Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults

What are customer insults, and what does machine learning have to do with it?
Read More →Data science vs social media disinformation: the case of climate change and the Australian bushfires

While a newly released World Weather Attribution study ties the Australian bushfires to anthropogenic climate change, disinformation on social media abounds
Read More →Make software great again: can open source be ethical and fair?

Is there a way to go beyond open source, and have ethical, fair software in a cloud-first world? This is what some people in the open source community think. In the 20 years since its inception, open source has turned out to be the most successful model for building software. The world today runs on […]
Read More →Amazon and commercial open source in the cloud: It’s complicated

What do the data tell us about the relationship between cloud vendors — specifically, Amazon and commercial open source vendors?
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