Data Science Ethics Podcast

Encode Equity

Show Notes on Encode Equity Organizations have flocked to data science as a means of achieving unbiased results in decision-making on the premise that “the data doesn’t lie.” Yet, as data is reflective of the biases in our culture, in our history, and in our perspectives, it is particularly naïve to assume that models will… Continue reading Encode Equity The post Encode Equity appeared first on Data Science Ethics.

Tay Bot: A Cautionary Tale

Show Notes on Tay Bot Tay Bot was a very short-lived chat AI. Launched by Microsoft in 2016 with the goal of researching conversational speech online, it soon learned all-too-well from users that there is a very dark side to human nature on the internet. Within 24 hours, Tay Bot was both repeating and generating… Continue reading Tay Bot: A Cautionary Tale The post Tay Bot: A Cautionary Tale appeared first on Data Science Ethics.

Incorporate Inclusivity

Show Notes on Incorporate Inclusivity Data scientists develop algorithms that have broad reach across the population. Chances are that the data science team building these widely-impactful models are not, themselves, large enough to represent so big a swath of the population. How can a small, likely less-diverse team acquire the wisdom of many? In this… Continue reading Incorporate Inclusivity The post Incorporate Inclusivity appeared first on Data Science Ethics.

Apple Credit Card and Unfair Limits

Show Notes on Apple Credit Card Apple recently decided to offer a branded Apple credit card in conjunction with Goldman Sachs. This is the first foray into consumer credit cards for both companies and all did not go according to plan. David Heinemeier Hansson, creator of Ruby on Rails, applied for the card and tweeted… Continue reading Apple Credit Card and Unfair Limits The post Apple Credit Card and Unfair Limits appeared first on Data Science Ethics.

Retain Responsibility

Show Notes on Retain Responsibility One of the core tenets of ethical behavior in data science revolves around the concept of needing to retain responsibility or accountability. A differentiator between our take on this and that most commonly conveyed is the distinction between the two terms. Why, then, do we use the term “responsibility” instead… Continue reading Retain Responsibility The post Retain Responsibility appeared first on Data Science Ethics.