Dear Applied Statistics Workshop Community,

Our next meeting of the semester will be on November 9 (12:00 EST). Tian Zheng will present "Toward a Taxonomy of Trust for Probabilistic Machine Learning."

<Where>
Hybrid: CGIS K354 or Zoom (the presenter will join us via Zoom)
Bagged lunches are available for pick-up at 11:40 (CGIS K354).
Zoom: https://harvard.zoom.us/j/99181972207?pwd=Ykd3ZzVZRnZCSDZqNVpCSURCNnVvQT09

<Abstract>
Probabilistic machine learning increasingly informs critical decisions in all sectors. To aid the development of trust in these decisions, we develop a taxonomy delineating where trust in an analysis can break down: (1) in the translation of real-world goals to goals on a particular set of available training data, (2) in the translation of abstract goals on the training data to a concrete mathematical problem, (3) in the use of an algorithm to solve the stated mathematical problem, and (4) in the use of a particular code implementation of the chosen algorithm. Our taxonomy highlights steps where existing research work on trust tends to concentrate and also steps where establishing trust is particularly challenging. In this talk, I will detail how trust can fail at each step and illustrate our taxonomy with examples from my recent research.

<2022 Schedule>
GOV 3009 Website: https://projects.iq.harvard.edu/applied.stats.workshop-gov3009
Calendar: https://calendar.google.com/calendar/embed?src=c_3v93pav9fjkkldrbu9snbhned8%40group.calendar.google.com&ctz=America%2FNew_York

Best,
Shusei