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From plane crashes to algorithmic harm: applicability of safety
  engineering frameworks for responsible ML

From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML

6 October 2022
Shalaleh Rismani
Renee Shelby
A. Smart
Edgar W. Jatho
Joshua A. Kroll
AJung Moon
Negar Rostamzadeh
ArXivPDFHTML

Papers citing "From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML"

4 / 4 papers shown
Title
What Is AI Safety? What Do We Want It to Be?
What Is AI Safety? What Do We Want It to Be?
Jacqueline Harding
Cameron Domenico Kirk-Giannini
48
0
0
05 May 2025
Toward an Evaluation Science for Generative AI Systems
Laura Weidinger
Deb Raji
Hanna M. Wallach
Margaret Mitchell
Angelina Wang
Olawale Salaudeen
Rishi Bommasani
Sayash Kapoor
Deep Ganguli
Sanmi Koyejo
EGVM
ELM
58
3
0
07 Mar 2025
Thinking Beyond Distributions in Testing Machine Learned Models
Thinking Beyond Distributions in Testing Machine Learned Models
Negar Rostamzadeh
B. Hutchinson
Christina Greer
Vinodkumar Prabhakaran
TTA
24
5
0
06 Dec 2021
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
181
730
0
13 Dec 2018
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