Give Me🔥 a Trip from Your Favorite Stove to the Gender Pay Gap through Machine Learning
summary
A data-driven talk describing surveys about why people pick a favorite stovetop burner and the subsequent analysis that produced a machine learning model explaining those choices; it also connects this same ML approach to a previous project that decomposed the gender pay gap. Technologies mentioned include machine learning models and survey data analysis; the focus is on applying ML to human-preference data and to labor-market gender disparity decomposition.
AI-written summary · about
chapters (5)
related talks
30mWhat machines can teach us about ourselves?
01h 31mHow To Measure And Mitigate Unfair Bias in Machine Learning Models
37mKeynote: Ethical Machine Learning: Creating Fair Models in an Unjust World
01h 30mFairness Tales: How To Measure And Mitigate Unfair Bias in Machine Learning Models
50mEthical Machine Learning
41mLow rate loans for ladies, stags pay extra: The Role of Ethics in AI/ML
40mResponsible AI Practices: Fairness in ML
21mEvan Estola, Lead Machine Learning Engineer, Meetup, NYC 2017
