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… Continue reading Consider Context
Category: Podcast
Love Ahoy! How OKCupid Tested Anchoring Bias
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,… Continue reading Love Ahoy! How OKCupid Tested Anchoring Bias
Anchoring Bias
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… Continue reading Anchoring Bias
Google Has a Gorilla Problem
Episode 6: Google Has a Gorilla Problem – Show Notes Google is a forerunner in many areas of data science and artificial intelligence. Yet one problem seems insurmountable for them – properly distinguishing between dark-skinned humans and gorillas. In 2015, an African-American software developer, Jacky Alciné, looking through their automatically-tagged images in Google Photos saw… Continue reading Google Has a Gorilla Problem
Hired By Algorithm
Episode 5: Hired by Algorithm – Show Notes Finding and applying for jobs is a painful task – made worse by hiring bias pervasive in the process. In today’s episode, we consider advances in helping to eliminate hiring bias from job description to interview. We call out a few of the biases lurking in HR… Continue reading Hired By Algorithm
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… Continue reading Statistical Sampling Bias
Many Unhappy Retail Returns
Episode 3: Many Unhappy Retail Returns – Show Notes Retail returns hurt the bottom line. They cause headaches for customer service, stocking, and profitability. It doesn’t help that some people have promoted using returns policies as a way of renting items not actually needed or wanted without being out of pocket. As much as that… Continue reading Many Unhappy Retail Returns
Data Science Process
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… Continue reading Data Science Process
Algorithms
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… Continue reading Algorithms
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… Continue reading Introduction Episode