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Beyond Model Interpretability: Socio-Structural Explanations in Machine
  Learning

Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning

5 September 2024
Andrew Smart
Atoosa Kasirzadeh
ArXivPDFHTML

Papers citing "Beyond Model Interpretability: Socio-Structural Explanations in Machine Learning"

5 / 5 papers shown
Title
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
Jakob Schoeffer
Maria De-Arteaga
Jonathan Elmer
50
0
0
05 Apr 2025
Interpretability in the Wild: a Circuit for Indirect Object
  Identification in GPT-2 small
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang
Alexandre Variengien
Arthur Conmy
Buck Shlegeris
Jacob Steinhardt
210
486
0
01 Nov 2022
In-context Learning and Induction Heads
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
240
453
0
24 Sep 2022
Operationalizing Machine Learning: An Interview Study
Operationalizing Machine Learning: An Interview Study
Shreya Shankar
Rolando Garcia
J. M. Hellerstein
Aditya G. Parameswaran
58
47
0
16 Sep 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
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