Machine Learning Times
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Inside Netflix’s Quest to End Scrolling – How the Company is Working to Solve One of its Biggest Threats: Decision Fatigue.

 Originally published in Vulture, April 28, 2021.  Ten years ago, Netflix got the idea that its app should work more like regular TV. This was early on in its transition from DVD delivery to streaming on demand, and product engineers at the company were still figuring out how the platform’s user interface would work. Instead

Clustergam: Visualisation of Cluster Analysis

 Originally published in MARTIN FLEISCHMANN, April 27, 2021. When we want to do some cluster analysis to identify groups in our data, we often use algorithms like K-Means, which require the specification of a number of clusters....

Moving Beyond “Algorithmic Bias is a Data Problem”

 Originally published in Patterns, April 9, 2021. A surprisingly sticky belief is that a machine learning model merely reflects existing algorithmic bias in the dataset and does not itself contribute to harm. Why, despite clear evidence to the...

Hot Video: More Accuracy Fallacies – Predicting Criminality and Psychosis

 Check out this topical video from Predictive Analytics World founder Eric Siegel: Can AI “tell” if you’re a criminal? Or whether you’ll develop psychosis? These are perfect examples of the accuracy fallacy, which misleads the public into...

Hot Video: The Accuracy Fallacy – Bogus Machine Learning Results

 Check out this topical video from Predictive Analytics World founder Eric Siegel: Can AI “tell” if you’re gay? When machine learning practitioners claim their model achieves “high accuracy,” it’s often bogus. This video reveals the undeniable yet...

Can Artificial Intelligence Combat Wildfires? Sonoma County Tests New Technology

 Originally published in Los Angeles Times, March 19, 2021. Sonoma County is adding artificial intelligence to its wildfire-fighting arsenal. The county has entered into an agreement with the South Korean firm Alchera to outfit its network of...

Combatting Fraud: AI and CB (Chatbots) to the Rescue

 Have you ever looked at your credit card statement, and wondered what a particular charge was all about? “Hey, I didn’t buy that?”, is a common reaction. Or, how about that text message alerting you to some...

Machine Learning’s Missing Link: Business Leadership

  Machine learning. Your team needs it, your boss demands it, and your career loves it. After all, LinkedIn places it as one of the top few “Skills Companies Need Most” and as the very top emerging...

Institutionalizing Ethics in AI Through Broader Impact Requirements

 Originally published in Nature Machine Intelligence, Feb, 2021. Turning principles into practice is one of the most pressing challenges of artificial intelligence (AI) governance. In this Perspective, we reflect on a governance initiative by one of the...

Surge Pricing, Artificial Intelligence, and Responsibility

 On my first work trip to Jakarta 14 January 2016 for Grab, multiple terrorist bombs exploded a couple of miles from the GrabBike office where I had just arrived. People were fleeing cafes and restaurants around the attack site. My...

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