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Vision-Language Models Performing Zero-Shot Tasks Exhibit Disparities Between Gender Groups
15 references·0 citing·30 second hop
Vision-Language Models Performing Zero-Shot Tasks Exhibit Disparities Between Gender Groups (2023)Vision-Language Models Performing Zero-Sh…Theories of “Gender” in NLP Bias Research (2022)Theories of “Gender” in NLP B…Fairness Indicators for Systematic Assessments of Visual Feature Extractors (2022)Fairness Indicators for Syste…A Systematic Study of Bias Amplification (2022)A Systematic Study of Bias Am…A survey on bias in visual datasets (2022)A survey on bias in visual da…Measuring Social Biases in Grounded Vision and Language Embeddings (2021)Measuring Social Biases in Gr…Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications (2021)Evaluating CLIP: Towards Char…Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs (2021)Designing Disaggregated Evalu…Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Language (Technology) is Powe…How We've Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis (2020)How We've Taught Algorithms t…On Measuring Social Biases in Sentence Encoders (2019)On Measuring Social Biases in…Assessing Social and Intersectional Biases in Contextualized Word Representations (2019)Assessing Social and Intersec…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Measuring individual differences in implicit cognition: The implicit association test. (1998)Fairness through awareness (2012)Big Data's Disparate Impact (2014)The global landscape of AI ethics guidelines (2019)A Survey on Bias and Fairness in Machine Learning (2021)On the Opportunities and Risks of Foundation Models (2021)Measuring individual differences in implicit cognition: The implicit association test. (1998)Computing Machinery and Intelligence (1950) (2004)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)The measurement of psychological androgyny. (1974)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Bias and Fairness in Large Language Models: A Survey (2024)Performative Acts and Gender Constitution: An Essay in Phenomenology and Feminist Theory (1988)Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Between Subjectivity and Imposition (2020)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2021)You Can't Sit With Us (2021)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Algorithmic Bias in Education (2021)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies (2021)Evaluation Gaps in Machine Learning Practice (2022)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)Framing: Toward Clarification of a Fractured Paradigm (1993)Procedures for Performing Systematic Reviews (2004)Algorithmic fairness datasets: the story so far (2022)Representation Bias in Data: A Survey on Identification and Resolution Techniques (2023)Policy advice and best practices on bias and fairness in AI (2024)ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023)
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References

  • 2017Semantics derived automatically from language corpora contain human-like biases2,980 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,853 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores1,433 cited
  • 2020Language (Technology) is Power: A Critical Survey of “Bias” in NLP1,137 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints878 cited
  • 2019On Measuring Social Biases in Sentence Encoders502 cited
  • 2020How We've Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis193 cited
  • 2022A survey on bias in visual datasets137 cited
  • 2019Assessing Social and Intersectional Biases in Contextualized Word Representations133 cited
  • 2021Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs71 cited
  • 2022Theories of “Gender” in NLP Bias Research46 cited
  • 2021Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications42 cited
  • 2021Measuring Social Biases in Grounded Vision and Language Embeddings41 cited
  • 2022A Systematic Study of Bias Amplification34 cited
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Fairness Indicators for Systematic Assessments of Visual Feature Extractors
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