BEGIN:VCALENDAR VERSION:2.0 X-WR-CALNAME;VALUE=TEXT:Tian Zheng (Workshop in Applied Statistics) PRODID:-//Harvard events data//EN BEGIN:VEVENT UID:event_1650473_0 SUMMARY:Tian Zheng (Workshop in Applied Statistics) DESCRIPTION:

Today's Speaker

Tian Zheng (Columbia University) "Toward a Taxonomy of Trust for Probabilistic Machine Learning"

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. 

The Applied Statistics Workshop (Gov 3009) meets all academic year, Wednesdays, 12pm-1:30pm, in CGIS K354. This workshop is a forum for advanced graduate students, faculty, and visiting scholars to present and discuss methodological or empirical work in progress in an interdisciplinary setting. The workshop features a tour of Harvard's statistical innovations and applications with weekly stops in different fields and disciplines and includes occasional presentations by invited speakers.

More information is available at the Gov 3009 website: https://projects.iq.harvard.edu/applied.stats.workshop-gov3009

All interested Harvard affiliates are invited to attend.

LOCATION:CGIS Knafel Building, room K354 or Online via Zoom STATUS:CONFIRMED DTSTART:20221109T170000Z DTEND:20221109T183000Z END:VEVENT END:VCALENDAR