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 […]

Read More →
Transparency & Reputational risk
Reputational Risk and Data Transparency

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 […]

Read More →
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 […]

Read More →
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 […]

Read More →
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. […]

Read More →
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 […]

Read More →
Hearts and anchors
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, […]

Read More →
Team Data Science Process
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 […]

Read More →