SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Towards Causal Benchmarking of Bias in Face Analysis Algorithms · Study

WorkTowards Causal Benchmarking of Bias in Face Analysis Algorithms

Guha Balakrishnan2020

OA

Workgreen2020

Towards Causal Benchmarking of Bias in Face Analysis Algorithms

Guha Balakrishnan · Yuanjun Xiong · Wei Xia · Pietro Perona

45 citations·0/0 files stored·Lecture notes in computer science

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Ethics and Social Impacts of AI Face recognition and analysis Explainable Artificial Intelligence (XAI)

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 45 citations exist upstream.

References

1872The expression of the emotions in man and animals.2004Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification 2001Gender identity: A multidimensional analysis with implications for psychosocial adjustment.2018The Measure and Mismeasure of Fairness 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness 2018Women Also Snowboard: Overcoming Bias in Captioning Models 2003Regression methods for covariate adjustment and subgroup analysis for non‐censored cost‐effectiveness data

Cited by

2021Discover the Unknown Biased Attribute of an Image Classifier 2022Discover and Mitigate Unknown Biases with Debiasing Alternate Networks 2023Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color 2023Gender Artifacts in Visual Datasets 2023Equal accuracy for Andrew and Abubakar—detecting and mitigating bias in name-ethnicity classification algorithms

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2021Towards Causal Benchmarking of Biasin Face Analysis Algorithmschapter · 8 shared references 2022Algorithmic fairness datasets: the story so fararticle · 5 shared references 2021Understanding and Mitigating Annotation Bias in Facial Expression Recognitionother · 4 shared references 2023Algorithmic Fairnesschapter · 4 shared references 2022Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiersother · 4 shared references 2021A Survey on Bias and Fairness in Machine Learningarticle · 3 shared references

Details

Year2020

Typeother

Published2020-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations45

Files0 public / 0

ShelfEthics and Social Impacts of AI

Identifiers

doi10.1007/978-3-030-58523-5_32

openalex_workW3043756010

Links

Imported from OpenAlex (CC0) — nothing here is generated.

2021Causal Learning for Socially Responsible AI

2024TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

2022Detecting racial inequalities in criminal justice: towards an equitable deep learning approach for generating and interpreting racial categories using mugshots