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Fairness-related assumptions about what constitute appropriate NLG system behaviors range from invariance, where systems are expected to behave identically for social groups, to adaptation, where behaviors should instead vary across them.
Bad seeds: Evaluating lexical methods for bias measurement
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Sociolinguistic patterns
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Language style as audience design
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Accommodation theory: Communication, context, and consequence , Studies in Emotion and Social Interaction, page 1–68. Cambridge University Press
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Participatory design
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Who sets e-mail style? prescriptivism, coping strategies, and democratizing communication access
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Michael Silverstein. 2003 · 2003
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Cooooooooooooooollllllllllllll!!!!!!!!!!!!!! using word lengthening to detect sentiment in microblogs
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Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs
Cristian Danescu-Niculescu-Mizil and Lillian Lee. 2011 · 2011
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Science faculty’s subtle gender biases favor male students
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What to do about bad language on the internet
Jacob Eisenstein. 2013 · 2013
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Gender identity and lexical variation in social media
David Bamman, Jacob Eisenstein, and Tyler Schnoebelen. 2014 · 2014
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Force, focus and negation in african american english
Lisa Green. 2014 · 2014
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Letter repetitions in computer-mediated communication: A unique link between spoken and online language
Yoram M Kalman and Darren Gergle. 2014 · 2014
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Curiosity, Creativity, and Surprise as Analytic Tools: Grounded Theory Method , pages 25–48. Springer New York, New York, NY
Michael Muller. 2014 · 2014
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Jane, John… Leslie? a historical method for algorithmic gender prediction
Cameron Blevins and Lincoln Mullen. 2015 · 2015
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‘First things first, I’m the realest’: Linguistic appropriation, white privilege, and the hip-hop persona of Iggy Azalea
Maeve Eberhardt and Kara Freeman. 2015 · 2015
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Undoing Appropriateness: Raciolinguistic Ideologies and Language Diversity in Education
Nelson Flores and Jonathan Rosa. 2015 · 2015
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All the young dudes: Generic gender terms among young women
Chi Luu. 2015 · 2015
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Audience-modulated variation in online social media
Umashanthi Pavalanathan and Jacob Eisenstein. 2015 · 2015
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Neighborhood effects on use of African-American Vernacular English
John R. Rickford, Greg J. Duncan, Lisa A. Gennetian, Ray Yun Gou, Rebecca Greene, Lawrence F. Katz, Ronald C. Kessler, Jeffrey R. Kling, Lisa Sanbonmatsu, Andres E. Sanchez-Ordoñez, Matthew Sciandra, Ewart Thomas, and Jens Ludwig. 2015 · 2015
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Smart reply: Automated response suggestion for email
Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, Laszlo Lukacs, Marina Ganea, Peter Young, et al. 2016 · 2016
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Singular they
Bronwyn M Bjorkman. 2017 · 2017
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Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, and Arvind Narayanan. 2017 · 2017
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The Trouble with Bias
Kate Crawford. 2017 · 2017
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Phonetics, phonology and social meaning
Penelope Eckert and William Labov. 2017 · 2017
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Adversarial removal of demographic attributes from text data
Yanai Elazar and Yoav Goldberg. 2018 · 2018
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AI-supported messaging: An investigation of human-human text conversation with AI support
Jess Hohenstein and Malte Jung. 2018 · 2018
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Let’s talk about race: Identity, chatbots, and AI
Ari Schlesinger, Kenton P O’Hara, and Alex S Taylor. 2018 · 2018
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Demographic aspects of first names
Konstantinos Tzioumis. 2018 · 2018
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Google removes gendered pronouns from Gmail’s Smart Compose to avoid AI bias
James Vincent. 2018 · 2018
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The impact of multiple parallel phrase suggestions on email input and composition behaviour of native and non-native english writers
Daniel Buschek, Martin Zürn, and Malin Eiband. 2021 · 2021
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Documenting large webtext corpora: A case study on the colossal clean crawled corpus
Jesse Dodge, Maarten Sap, Ana Marasović, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, and Matt Gardner. 2021 · 2021
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Refocusing on relevance: Personalization in NLG
Shiran Dudy, Steven Bedrick, and Bonnie Webber. 2021 · 2021
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A theoretical analysis of the repetition problem in text generation
Zihao Fu, Wai Lam, Anthony Man-Cho So, and Bei Shi. 2021 · 2021
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Measurement and fairness
Abigail Z Jacobs and Hanna Wallach. 2021 · 2021
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Gender bias in coreference resolution: Evaluation and debiasing methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2018 · 2018
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Guidelines for Human-AI Interaction , page 1–13. Association for Computing Machinery, New York, NY, USA
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz. 2019 · 2019
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Racial categories in machine learning
Sebastian Benthall and Bruce D. Haynes. 2019 · 2019
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Bias in bios: A case study of semantic representation bias in a high-stakes setting
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, and Adam Tauman Kalai. 2019 · 2019
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Diversifying reply suggestions using a matching-conditional variational autoencoder
Budhaditya Deb, Peter Bailey, and Milad Shokouhi. 2019 · 2019
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Counterfactual fairness in text classification through robustness
Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H Chi, and Alex Beutel. 2019 · 2019
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Hannah Rose Kirk, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frederic A Dreyer, Aleksandar Shtedritski, and Yuki Asano. 2021 · 2021
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Ai-mediated communication: Language use and interpersonal effects in a referential communication task
Hannah Mieczkowski, Jeffrey T. Hancock, Mor Naaman, Malte Jung, and Jess Hohenstein. 2021 · 2021
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Improving counterfactual generation for fair hate speech detection
Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, and Morteza Dehghani. 2021 · 2021
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On learning and representing social meaning in NLP: a sociolinguistic perspective
Dong Nguyen, Laura Rosseel, and Jack Grieve. 2021 · 2021
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Predictors and mental health benefits of chosen name use among transgender youth
Amanda M. Pollitt, Salvatore Ioverno, Stephen T. Russell, Gu Li, and Arnold H. Grossman. 2021 · 2021
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“I can’t reply with that”: Characterizing problematic email reply suggestions
Ronald E Robertson, Alexandra Olteanu, Fernando Diaz, Milad Shokouhi, and Peter Bailey. 2021 · 2021
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“nice try, kiddo”: Investigating ad hominems in dialogue responses
Emily Sheng, Kai-Wei Chang, Prem Natarajan, and Nanyun Peng. 2021a · 2021
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Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models
Eric Michael Smith and Adina Williams. 2021 · 2021
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Reliability testing for natural language processing systems
Samson Tan, Shafiq Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett, and Min-Yen Kan. 2021 · 2021
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When does text prediction benefit from additional context? an exploration of contextual signals for chat and email messages
Stojan Trajanovski, Chad Atalla, Kunho Kim, Vipul Agarwal, Milad Shokouhi, and Chris Quirk. 2021 · 2021
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All countries
Office of the Historian in the Foreign Service Institute DOS. 2022 · 2022
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A thematic analysis of attitudes towards english nonbinary pronouns
Laura Hekanaho. 2022 · 2022
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Deep learning for text style transfer: A survey
Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, and Rada Mihalcea. 2022 · 2022
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Will AI console me when i lose my pet? understanding perceptions of AI-mediated email writing
Yihe Liu, Anushk Mittal, Diyi Yang, and Amy Bruckman. 2022 · 2022
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Sociology of whiteness
Monica McDermott and Annie Ferguson. 2022 · 2022
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Dealing with disagreements: Looking beyond the majority vote in subjective annotations
Aida Mostafazadeh Davani, Mark Díaz, and Vinodkumar Prabhakaran. 2022 · 2022
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Perturbation augmentation for fairer NLP
Rebecca Qian, Candace Ross, Jude Fernandes, Eric Michael Smith, Douwe Kiela, and Adina Williams. 2022 · 2022
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The fallacy of AI functionality
Inioluwa Deborah Raji, I Elizabeth Kumar, Aaron Horowitz, and Andrew Selbst. 2022 · 2022
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Two contrasting data annotation paradigms for subjective NLP tasks
Paul Rottger, Bertie Vidgen, Dirk Hovy, and Janet Pierrehumbert. 2022 · 2022
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“I’m sorry to hear that”: Finding new biases in language models with a holistic descriptor dataset
Eric Michael Smith, Melissa Hall, Melanie Kambadur, Eleonora Presani, and Adina Williams. 2022 · 2022
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When personalization harms: Reconsidering the use of group attributes of prediction
Vinith Menon Suriyakumar, Marzyeh Ghassemi, and Berk Ustun. 2022 · 2022
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Deconstructing NLG evaluation: Evaluation practices, assumptions, and their implications
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, and Alexandra Olteanu. 2022a · 2022
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VALUE: Understanding dialect disparity in NLU
Caleb Ziems, Jiaao Chen, Camille Harris, Jessica Anderson, and Diyi Yang. 2022 · 2022
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This prompt is measuring <mask>: evaluating bias evaluation in language models
Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, and Su Lin Blodgett. 2023 · 2023
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Incorporating worker perspectives into MTurk annotation practices for NLP
Olivia Huang, Eve Fleisig, and Dan Klein. 2023 · 2023
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Name-based demographic inference and the unequal distribution of misrecognition
Jeffrey W Lockhart, Molly M King, and Christin Munsch. 2023 · 2023
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In-context impersonation reveals large language models’ strengths and biases
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, and Zeynep Akata. 2023 · 2023
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Popular baby names by decade
United States Social Security Administration SSA. 2022 · 2023
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Richer countries and richer representations
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