Ethical Obligations of a Data Translator

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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All Warmed Up with the Strava Heatmap

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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Blockchain Gives Us Hope

Episode 12:┬áBlockchain 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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Deepfake

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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Anticipate Adversaries

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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Consider Context in Data Science
Consider Context

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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Statistical bias in sampling
Statistical Sampling Bias

Episode 4: Statistical Sampling Bias – Show Notes Bias sneaks in to algorithms and data science from multiple sources. Primarily, it comes from statistical or cognitive biases that then lead to biased conclusions or results. In today’s episode, we look at four types statistical sampling bias to understand how biased samples skew algorithms. [2:54] Selection […]

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Ethics wordcloud
Introduction Episode

Welcome to the Data Science Ethics Podcast! We’re thrilled that you’re here and interested in exploring ethical discussions with us. Data Science Ethics Podcast – Episode 0 Show Notes In this first episode, we set up why we’re talking about data science ethics, what we will cover in the podcast, and the framework of how […]

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