Statistics et al.
Statistics et al.
Description: Discussing Model Behavior
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 […]
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 […]
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 […]
Statistics et al.
Statistics et al.