Encode Equity
Show Notes on Encode Equity Organizations have flocked to data science as a means of achieving unbiased results in decision-making […]
Informational
Incorporate Inclusivity
Show Notes on Incorporate Inclusivity Data scientists develop algorithms that have broad reach across the population. Chances are that the
Retain Responsibility
Show Notes on Retain Responsibility One of the core tenets of ethical behavior in data science revolves around the concept
Collect Carefully
Episode 28: Collect Carefully – Show Notes The era of Big Data has meant the ability gathering and processing of
Protect Privacy
Episode 22: Protect Privacy – Show Notes IT are not the only ones responsible to protect privacy of data. Data
Proxy Variables
Episode 19: Proxy Variables – Show Notes This quick, informational segment introduces the concept of proxy variables. In short, proxy
Train Transparently
Episode 18: Train Transparently – Show Notes As algorithms are created and unleashed upon the world, it is crucial to
Become a Member
Hi listeners. This is Lexy with the Data Science Ethics Podcast. Today, I’ve got a special announcement. We are gearing
Anticipate Adversaries
Episode 10: Anticipate Adversaries – Show Notes Adversaries to an algorithm or system can come in many guises and at
Consider Context
Episode 9: Consider Context – Show Notes Algorithms do not operate in a vacuum. They operate in the context of
Anchoring Bias
Episode 7: Anchoring Bias – Show Notes Today we are talking about one aspect of why first impressions are so
Statistical Sampling Bias
Episode 4: Statistical Sampling Bias – Show Notes Bias sneaks in to algorithms and data science from multiple sources. Primarily,