Preventing Fake News

Episode 24: Preventing Fake News – Show Notes Researchers at OpenAI have made amazing breakthroughs in natural language processing in the creation and interpretation of content. So amazing, in fact, that they have elected to withhold the full version from release so that it does not fall into malicious hands. They stated preventing fake news […]

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AI Has Americans Worried

Episode 23: Concerns About AI – Show Notes Horror stories of AI gone mad are everywhere in science fiction – but are they likely to become reality? Many Americans now believe so. Based on a recent Vox article covering a study from the University of Oxford, we discuss the top concerns about AI on the […]

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Protect Privacy

Episode 22: Protect Privacy – Show Notes IT are not the only ones responsible to protect privacy of data. Data scientists share this burden as they search for, collect, store, utilize, and share vast amounts of information. In this episode, we explore what data scientists and non-practitioners should do to help protect privacy. Additional Links […]

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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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Members’ Welcome

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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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