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RECAST: Interactive Auditing of Automatic Toxicity Detection Models
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RECAST: Interactive Auditing of Automatic Toxicity Detection Models

International Symposium of Chinese CHI (ISCC), 2020
Austin P. Wright
Omar Shaikh
Haekyu Park
Will Epperson
Muhammed Ahmed
Stephane Pinel
Diyi Yang
Duen Horng Chau
    KELM
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Papers citing "RECAST: Interactive Auditing of Automatic Toxicity Detection Models"

5 / 5 papers shown
Title
Fairness and Bias in Multimodal AI: A Survey
Fairness and Bias in Multimodal AI: A Survey
Tosin Adewumi
Lama Alkhaled
Namrata Gurung
G. V. Boven
Irene Pagliai
229
21
0
27 Jun 2024
Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media
Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media
Uma Sushmitha Gunturi
Anisha Kumar
Xiaohan Ding
Eugenia H Rho
145
6
0
25 Mar 2024
Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussions
Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussions
Jonathan P. Chang
Charlotte Schluger
Cristian Danescu-Niculescu-Mizil
155
40
0
02 Dec 2022
Theories of "Gender" in NLP Bias Research
Theories of "Gender" in NLP Bias ResearchConference on Fairness, Accountability and Transparency (FAccT), 2022
Hannah Devinney
Jenny Björklund
H. Björklund
AI4CE
178
85
0
05 May 2022
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Language (Technology) is Power: A Critical Survey of "Bias" in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Su Lin Blodgett
Solon Barocas
Hal Daumé
Hanna M. Wallach
663
1,448
0
28 May 2020