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 […]
Read More →
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 […]
Read More →
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 […]
Read More →
Episode 2: The Data Science Process – Show Notes Decisions made at every stage of the data science process can impact the ethics of the outcome. From data selection to hypotheses tested to interpretation, data scientists must carefully evaluate the implications of their models and outputs. In today’s episode, we delve into the data science […]
Read More →
Data Science Ethics Podcast – Episode 1 Show Notes As a starting point, we’re laying some groundwork. In this first informational episode, we talk about algorithms – what they are, what they do, and why they’re important to data science ethics. Algorithms perform a set of steps on inputs to get to an output. In […]
Read More →