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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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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Episode 14: Ethical Obligations of a Data Translator – Show Notes Data Translator is a new title coming up in the business world over the last few years. This role is an intermediary between those requesting data science work and the data scientists. It’s sort of like a business analyst but for analytics projects. To […]
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Episode 13: All Warmed Up with the Strava Heatmap – Show Notes Many people, civilians and military personnel alike, use fitness trackers every day to keep tabs on their health. They track everything from steps to heart rate to sleep cycles. With some manual input, they can also balance other aspects of personal health and […]
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Episode 12: Blockchain Gives Us Hope – Show Notes In our last episode on Deepfake, we mentioned blockchain as a possible solution for identifying authentic versus altered audio and video. In today’s episode, we look at a number of ways that blockchain can and is already providing positive impact in the world. In addition to its […]
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Episode 11: Deepfake – Show Notes Deepfake is the process of using computer vision to generate realistic fake audio or video where a performance from one person appears to be coming from another. This technology, once the brainchild of academia, was taken into the corporate world to help make image and audio editing more efficient. […]
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Episode 10: Anticipate Adversaries – Show Notes Adversaries to an algorithm or system can come in many guises and at many times in the data science process. Their contexts vary from well-intentioned to nefarious. In this episode, we talk about different types of adversaries and how to anticipate adversaries. Well-Intentioned Adversaries Business users who have […]
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Episode 9: Consider Context – Show Notes Algorithms do not operate in a vacuum. They operate in the context of a specific business, industry, problem, group of people, time frame, and more. Algorithms impact people and processes in the course of their use. The charge of an ethical data scientist is to develop solutions which […]
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Episode 8: Love Ahoy! How OKCupid Tested Anchoring Bias – Show Notes In 2014, OKCupid revealed they had conducted an experiment to test the effects of showing false compatibility rates to users. The experiment was designed to test whether their algorithm was truly generating more meaningful conversations. There were two stages of the experiment. First, […]
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Episode 7: Anchoring Bias – Show Notes Today we are talking about one aspect of why first impressions are so important – anchoring bias. Anchoring bias is when the first piece of information we receive about something (our first impression of ir) is weighted more heavily than it should be. Unlike statistical sampling biases, anchoring […]
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