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Investigating Societal Biases in a Poetry Composition System
14 references·0 citing·37 second hop
Investigating Societal Biases in a Poetry Composition System (2020)Investigating Societal Biases in a Poetry…Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Language (Technology) is Powe…Gender Bias in Neural Natural Language Processing (2020)Gender Bias in Neural Natural…The Woman Worked as a Babysitter: On Biases in Language Generation (2019)The Woman Worked as a Babysit…On Measuring Social Biases in Sentence Encoders (2019)On Measuring Social Biases in…Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them (2019)Lipstick on a Pig: Debiasing …Identifying and Reducing Gender Bias in Word-Level Language Models (2019)Identifying and Reducing Gend…Investigating the Impact of Gender on Rank in Resume Search Engines (2018)Investigating the Impact of G…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems (2018)Examining Gender and Race Bia…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…FA*IR (2017)FA*IRMan is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Unequal Representation and Gender Stereotypes in Image Search Results for Occupations (2015)Unequal Representation and Ge…Bias in computer systems (1996)Stereotype Threat and Women's Math Performance (1999)Gender and the Career Choice Process: The Role of Biased Self‐Assessments (2001)Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Ethics and discrimination in artificial intelligence-enabled recruitment practices (2023)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)A Survey on Bias and Fairness in Machine Learning (2021)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Designing Fair Ranking Schemes (2019)Fairwalk: Towards Fair Graph Embedding (2019)iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making (2019)Equality of Opportunity in Supervised Learning (2016)Equity of Attention (2018)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Five sources of bias in natural language processing (2021)Trustworthy AI: A Computational Perspective (2022)Gender bias and stereotypes in Large Language Models (2023)Measuring individual differences in implicit cognition: The implicit association test. (1998)Dissecting racial bias in an algorithm used to manage the health of populations (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Assessing gender bias in machine translation: a case study with Google Translate (2019)Gender and Representation Bias in GPT-3 Generated Stories (2021)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Unsettling race and language: Toward a raciolinguistic perspective (2017)Algorithmic Bias in Education (2021)Towards a standard for identifying and managing bias in artificial intelligence (2022)Measuring Bias in Contextualized Word Representations (2019)CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models (2020)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)A Review on Fairness in Machine Learning (2022)Bias and Fairness in Large Language Models: A Survey (2024)
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References

  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2020Language (Technology) is Power: A Critical Survey of “Bias” in NLP1,044 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2018Fairness of Exposure in Rankings607 cited
  • 2015Unequal Representation and Gender Stereotypes in Image Search Results for Occupations509 cited
  • 2017FA*IR497 cited
  • 2019On Measuring Social Biases in Sentence Encoders461 cited
  • 2019The Woman Worked as a Babysitter: On Biases in Language Generation430 cited
  • 2018Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems384 cited
  • 2020Gender Bias in Neural Natural Language Processing266 cited
  • 2019Identifying and Reducing Gender Bias in Word-Level Language Models219 cited
  • 2018Investigating the Impact of Gender on Rank in Resume Search Engines155 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them144 cited

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