Invited and Refereed Presentations


Service

  • Session Chair: IISA-2017, IISA-2018
  • Journal Reviewer: ACI, Biometrics, CCADD, JCIM, JSCS, JSPI, Molecular Informatics, Sankhya B, Scientific Reports, Statistica Sinica, The R Journal
  • Conference Reviewer: ICML, AAAI, AISTATS, CHI
  • Workshop Reviewer: ML-RSA @ NeurIPS

© Subhabrata Majumdar 2022.


data_typeAVID
data_version0.1
metadata
idAVID-2022-V001
affects
developer
deployer
nameHuggingFace
artifact
typename
modelbert-base-uncased
problemtype
classLLM evaluation
description
langeng
valueGender Bias in Sentence Completion Tasks performed by bert-base-uncased
references
labelurl
bert-base-uncased on Hugging Facehttps://huggingface.co/bert-base-uncased
description
langeng
valuexyz xyz
reports
report_idclassname
AVID-2022-R0001DetectionGender Bias in Sentence Completion Tasks performed by bert-base-uncased using the HONEST metric
AVID-2022-R0003DetectionProfession bias reinforcing gender stereotypes found in bert-base-uncased, as measured on the Winobias dataset
impact
avid
risk_domain
  • Ethics
sep_view
idname
E0101Group Fairness
lifecycle_view
idstage
L05Evaluation
credit
langvalue
engHarry Saini, AVID