Fri 8 Dec 2023 16:30 - 17:00 at Foothill G - Fairness and Privacy

To make models more understandable and correctable, I propose that the PROMISE community pivots to the problem of model review. Over the years, there have been many reports that very simple mod- els can perform exceptionally well. Yet, where are the researchers asking “say, does that mean that we could make software analytics simpler and more comprehensible?” This is an important question, since humans often have difficulty accurately assessing complex models (leading to unreliable and sometimes dangerous results).

Prior PROMISE results have shown that data mining can effectively summarizing large models/ data sets into simpler and smaller ones. Therefore, the PROMISE community has the skills and experience needed to redefine, simplify, and improve the relationship between humans and AI.

Slides: http://tiny.cc/promise23

Full prof, ex-nurse,rocketman,taxi-driver,journalist (it all made sense at the time).

Fri 8 Dec

Displayed time zone: Pacific Time (US & Canada) change

16:00 - 17:00
Fairness and PrivacyPROMISE 2023 at Foothill G
16:00
30m
Paper
Automated Fairness Testing with Representative Sampling
PROMISE 2023
Umutcan Karakaş Istanbul Technical University, Ayse Tosun Istanbul Technical University
DOI
16:30
30m
Paper
Model Review: A PROMISEing Opportunity
PROMISE 2023
Tim Menzies North Carolina State University
DOI Pre-print