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AI Chatbots and Linguistic Injustice
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AI Chatbots and Linguistic Injustice (2024)AI Chatbots and Linguistic InjusticeWhat ChatGPT Tells Us about Gender: A Cautionary Tale about Performativity and Gender Biases in AI (2023)What ChatGPT Tells Us about G…Should ChatGPT Be Biased? Challenges and Risks of Bias in Large Language Models (2023)Should ChatGPT Be Biased? Cha…Multilingualism, Social Inequality, and the Need for a Universal Language (2023)Multilingualism, Social Inequ…Linguistic Diversity and Justice: The Role of Artificial Languages in Multilingual Societies (2023)Linguistic Diversity and Just…Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support (2023)Human–AI collaboration enable…Harmful biases in artificial intelligence (2022)Harmful biases in artificial …StereoSet: Measuring stereotypical bias in pretrained language models (2021)StereoSet: Measuring stereoty…RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models (2021)RedditBias: A Real-World Reso…Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation (2020)Queens are Powerful too: Miti…Emergency remote teaching in a time of global crisis due to CoronaVirus pandemic (2020)Emergency remote teaching in …CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models (2020)CrowS-Pairs: A Challenge Data…Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems (2018)Examining Gender and Race Bia…Do Artifacts Have Politics? (2017)Do Artifacts Have Politics?Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Semantics derived automatically from language corpora contain human-like biases (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)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Societal Biases in Language Generation: Progress and Challenges (2021)An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models (2022)“Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters (2023)Math = male, me = female, therefore math ≠ me. (2002)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Biases in Large Language Models: Origins, Inventory, and Discussion (2023)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Sustainable Modular Debiasing of Language Models (2021)Quantifying and alleviating political bias in language models (2022)Fairness in Large Language Models: A Taxonomic Survey (2024)The Psychic Life of Power (1997)Undoing Gender (2004)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business (2024)Evaluating and addressing demographic disparities in medical large language models: a systematic review (2025)Navigating LLM ethics: advancements, challenges, and future directions (2025)Notes on the theory of the actor-network: Ordering, strategy, and heterogeneity (1992)The Ethnography of Infrastructure (1999)Music in Everyday Life (2000)COVID-19 and teacher education: a literature review of online teaching and learning practices (2020)Efficiency of flipped classroom with online-based teaching under COVID-19 (2020)Teacher education in times of COVID-19 pandemic in Portugal: national, institutional and pedagogical responses (2020)Auditing large language models: a three-layered approach (2023)AI can help people feel heard, but an AI label diminishes this impact (2024)Mental-LLM (2024)The Opportunities and Risks of Large Language Models in Mental Health (2024)Beyond transparency and explainability: on the need for adequate and contextualized user guidelines for LLM use (2024)Exploring ChatGPT and its impact on society (2024)The moral machine experiment on large language models (2024)
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References

  • 2017Do Artifacts Have Politics?2,317 cited
  • 2020Emergency remote teaching in a time of global crisis due to CoronaVirus pandemic1,667 cited
  • 2021StereoSet: Measuring stereotypical bias in pretrained language models643 cited
  • 2023Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support498 cited
  • 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models438 cited
  • 2018Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems384 cited
  • 2023What ChatGPT Tells Us about Gender: A Cautionary Tale about Performativity and Gender Biases in AI161 cited
  • 2020Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation153 cited
  • 2023Should ChatGPT Be Biased? Challenges and Risks of Bias in Large Language Models133 cited
  • 2021RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models107 cited
  • 2022Harmful biases in artificial intelligence33 cited
  • 2023Multilingualism, Social Inequality, and the Need for a Universal Language12 cited
  • 2023Linguistic Diversity and Justice: The Role of Artificial Languages in Multilingual Societies7 cited

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