Fair Fares? How airlines get away with differential pricing

Episode 21: Differential Pricing in Opaque Markets – Show Notes Why do some people pay $120 and others pay $650 for a seat on the same airplane? Or the same car insurance policy? Differential pricing is everywhere but it is especially prevalent in opaque, algorithm-driven markets. Is it fair to charge differently for different people? […]

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Price Discrimination in Retail

Episode 20: Price Discrimination in Retail – Show Notes Price discrimination is when companies show different prices to different customers based on what each customer is willing to pay. For many retailers, that means gathering data and creating algorithms that predict what a customer will spend on each item. Is it fair to force customers […]

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Proxy Variables

Episode 19: Proxy Variables – Show Notes This quick, informational segment introduces the concept of proxy variables. In short, proxy variables are data elements used in place of something that may be more pertinent but also more difficult to measure. It also touches on confounding and lurking variables – in case you wanted a dose […]

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Train Transparently

Episode 18: Train Transparently – Show Notes As algorithms are created and unleashed upon the world, it is crucial to understand not only what they are but how they came to be. The best way to accomplish this before chaos is wreaked is to train transparently – meaning to let people know what is going […]

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Seasons Greetings from Lexy and Marie

Season’s greetings to you! Thank you for joining us this year for the Data Science Ethics Podcast. We’re loving this an we’re thrilled for what’s still to come. We’ve got some great topics on deck for 2019 and are continuing to make progress towards launching the members only podcast. We look forward to having you […]

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Current daylight savings time illustration
Daylight Savings Time and Confirmation Bias

Episode 17: Daylight Savings Time and Confirmation Bias – Show Notes This episode was inspired by a clear lack of sleep. Today, we are discussing confirmation bias. Confirmation bias is when people seek out only the evidence that supports their point of view while dismissing contrary evidence. An example might be a smoker highlighting a […]

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Moral Machine and We Get Stumped

Episode 16: The Moral Machine – Show Notes MIT conducted a long-term study called the Moral Machine that spanned the globe. It posed seemingly-simply questions about what a driverless car should do. These were variations on the trolley problem – a classic ethical dilemma about whether the driver of a runaway trolley should avoid striking […]

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Transparency & Reputational risk
Reputational Risk and Data Transparency

Episode 15: Transparency and Reputational Risk – Show Notes Between the mortgage crisis, Madoff Scandall, and Wells Fargo’s fraudulent account openings, banks have had a rough go of it. They have become increasingly aware and sensitive to the effects of reputational risk. To counter these possible problems, many banks have implemented more stringent policies for […]

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Become a Member

Hi listeners. This is Lexy with the Data Science Ethics Podcast. Today, I’ve got a special announcement. We are gearing up to launch the members only podcast! As we teased in the introductory episode, the members only podcast explores data science ethics in pop culture. Our first topic is an episode of Star Trek: The […]

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