Data Ethics & Policy with Sheila Colclasure

Show Notes on Encode Equity Organizations have flocked to data science as a means of achieving unbiased results in decision-making […] The post Encode Equity appeared first on Data Science Ethics.

Show Notes on Tay Bot Tay Bot was a very short-lived chat AI. Launched by Microsoft in 2016 with the […] The post Tay Bot: A Cautionary Tale appeared first on Data Science Ethics.

Show Notes on Incorporate Inclusivity Data scientists develop algorithms that have broad reach across the population. Chances are that the […] The post Incorporate Inclusivity appeared first on Data Science Ethics.

Show Notes on Apple Credit Card Apple recently decided to offer a branded Apple credit card in conjunction with Goldman […] The post Apple Credit Card and Unfair Limits appeared first on Data Science Ethics.

Show Notes on Retain Responsibility One of the core tenets of ethical behavior in data science revolves around the concept […] The post Retain Responsibility appeared first on Data Science Ethics.

Data is infinite. Digital is inevitable. Sheila Colclasure This week we are talking about the efforts underway around the world […] The post Data Ethics & Policy with Sheila Colclasure appeared first on Data Science Ethics.

Show Notes on 2B-Alert The US Army commissioned a study to find the optimal amount and timing of caffeine consumption […] The post Optimized Caffeine Consumption with 2B-Alert appeared first on Data Science Ethics.

Episode 30: Colleges Fake Data for Rankings – Show Notes Going to college is a life-altering decision for young adults. […] The post Colleges Fake Data for Rankings appeared first on Data Science Ethics.

Episode 29: Tesla Data Storage – Show Notes Tesla has given the world a new promise between its electric engine, […] The post Tesla Cars Store Unencrypted Data appeared first on Data Science Ethics.

Episode 28: Collect Carefully – Show Notes The era of Big Data has meant the ability gathering and processing of […] The post Collect Carefully appeared first on Data Science Ethics.