Four short links: 12 August 2019
Retro Hacking, Explaining AI, Teacher Ratings, and Algorithmic Bias
- First Person Adventure via Mario Maker (Vice) — the remarkable “3D Maze House (P59-698-55G)” by creator ねぎちん … a level somehow manages to credibly re-create the experience of playing a first-person (!!) adventure game like Wizardy, something Nintendo clearly never intended.
- Measurable Counterfactual Local Explanations for Any Classifier — generates w-counterfactual explanations that state minimum changes necessary to flip a prediction’s classification [and …] builds local regression models, using the w-counterfactuals to measure and improve the fidelity of its regressions. Making AI “explain itself” is useful and hard, this seems like an interesting step forward.
- Student Evaluation of Teaching Ratings and Student Learning are Not Related (Science Direct) — Students do not learn more from professors with higher student evaluation of teaching (SET) ratings. […] New meta-analyses of multisection studies show that SET ratings are unrelated to student learning. (via Sciblogs)
- Apparent Gender-Based Discrimination in the Display of STEM Career Ads — women disproportionately click on job ads, so bidding algorithms charge more to advertisers to show to women, so men see more job ads. (via Ethan Molick)