Most of what goes by the name of Artificial Intelligence (AI) today is actually based on training and deploying Deep Learning (DL) models. Despite their impressive achievements in fields as diverse as image classification, language translation, complex games (such as Go and chess), speech recognition, and self-driving vehicles, DL models are…

Summary:  Automated Machine Learning has only been around for a little over two years and already there are over 20 providers in this space.  However, a new European AML platform called Tazi, new in the US, is showing what the next generation of AML will look like.

I’ve been a follower and a fan of Automated Machine Learning…

Summary:  GDPR carries many new data and privacy requirements including a “right to explanation”.  On the surface this appears to be similar to US rules for regulated industries.  We examine why this is actually a penalty and not a benefit for the individual and offer some insight into the actual wording of the GDPR regulation which also offers some relief.

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Summary:  AI and predictive analytics are now so prevalent in our day-to-day lives that it has raised the attention of the government, particularly about how certain groups might be adversely impacted.  As data scientists we naturally want to have free reign to let the data speak as best it can, but as this report from the White House shows, we need to be prepared for some push back.

The last 10 years have been glorious days for data science and…

Summary:  This new study claims to be able to identify criminals based on their facial characteristics.  Even if the data science is good has AI pushed too far into areas of societal taboos?  This isn’t the first time data science has been restricted in favor of social goals, but this study may be a trip wire that starts a long and difficult discussion about the role of AI.

Has AI gone too far? This might seem like a nonsensical question to data…