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Recent work in natural language processing (NLP) has focused on ethical challenges such as understanding and mitigating bias in data and algorithms; identifying objectionable content like hate speech, stereotypes and offensive language; and building frameworks for better system design and data handling practices.
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The Right and the Good
W. D. Ross. 1930 · 1930
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Accounting for style in machine translation
Chrysanne DiMarco and Graeme Hirst. 1990 · 1990
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In Other Words: A Coursebook on Translation
Mona Baker. 1992 · 1992
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The Media Equation: How People Treat Computers, Television, and New Media like Real People and Places
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Improving performance of transfer-driven machine translation with extra-linguistic informatioon from context, situation and environment
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Context management with topics for spoken dialogue systems
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Automatic labeling of semantic roles
Daniel Gildea and Daniel Jurafsky. 2000 · 2000
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Interactional (in) justice: The sacred and the profane
Robert J Bies. 2001 · 2001
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Realm: Retrieval-augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2002
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Explaining question answering models through text generation
Veronica Latcinnik and Jonathan Berant. 2020 · 2004
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What-if i ask you to explain: Explaining the effects of perturbations in procedural text
Dheeraj Rajagopal, Niket Tandon, Peter Clarke, Bhavana Dalvi, and Eduard Hovy. 2020 · 2005
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Question answering evaluation survey
L. Gillard, P. Bellot, and M. El-Bèze. 2006 · 2006
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The Nature of Consent * , pages 3–22
John Kleinig. 2009 · 2009
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Knowledge and reasoning for medical question-answering
Pierre Zweigenbaum. 2009 · 2009
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Philosophers are mortal: Inferring the truth of unseen facts
Gabor Angeli and Christopher Manning. 2013 · 2013
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Children’s social relationships with current and near-future robots
Peter H. Kahn Jr, Heather E. Gary, and Solace Shen. 2013 · 2013
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Interactional justice: Looking backward, looking forward
Robert J Bies. 2015 · 2015
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Question answering systems: Survey and trends
Abdelghani Bouziane, D. Bouchiha, Noureddine Doumi, and M. Malki. 2015 · 2015
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Towards improving dialogue topic tracking performances with wikification of concept mentions
Seokhwan Kim, Rafael E. Banchs, and Haizhou Li. 2015 · 2015
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Motivating personality-aware machine translation
Shachar Mirkin, Scott Nowson, Caroline Brun, and Julien Perez. 2015 · 2015
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Children’s Conceptions of the Moral Standing of a Humanoid Robot of the Here and Now
Solace Shen. 2015 · 2015
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Deontological Ethics
Larry Alexander and Michael Moore. 2016 · 2016
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
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The social impact of natural language processing
Dirk Hovy and Shannon L. Spruit. 2016 · 2016
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How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Chia-Wei Liu, Ryan Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 2016 · 2016
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Controlling politeness in neural machine translation via side constraints
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Controlling the voice of a sentence in Japanese-to-English neural machine translation
Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato, and Mamoru Komachi. 2016 · 2016
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Ethical research protocols for social media health research
Adrian Benton, Glen Coppersmith, and Mark Dredze. 2017 · 2017
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"hey google is it ok if i eat you?": Initial explorations in child-agent interaction
Stefania Druga, Randi Williams, Cynthia Breazeal, and Mitchel Resnick. 2017 · 2017
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Gender as a variable in natural-language processing: Ethical considerations
Brian Larson. 2017 · 2017
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Ethical by design: Ethics best practices for natural language processing
Jochen L. Leidner and Vassilis Plachouras. 2017 · 2017
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Integrating the management of personal data protection and open science with research ethics
Dave Lewis, Joss Moorkens, and Kaniz Fatema. 2017 · 2017
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A quantitative study of data in the NLP community
Margot Mieskes. 2017 · 2017
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Ethical considerations in NLP shared tasks
Carla Parra Escartín, Wessel Reijers, Teresa Lynn, Joss Moorkens, Andy Way, and Chao-Hong Liu. 2017 · 2017
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Personalized machine translation: Preserving original author traits
Ella Rabinovich, Raj Nath Patel, Shachar Mirkin, Lucia Specia, and Shuly Wintner. 2017 · 2017
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A biomedical question answering system in BioASQ 2017
Mourad Sarrouti and Said Ouatik El Alaoui. 2017 · 2017
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Goal-oriented design for ethical machine learning and NLP
Tyler Schnoebelen. 2017 · 2017
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A short review of ethical challenges in clinical natural language processing
Simon Šuster, Stéphan Tulkens, and Walter Daelemans. 2017 · 2017
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Gender and dialect bias in YouTube’s automatic captions
Rachael Tatman. 2017 · 2017
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Men also like shopping: Reducing gender bias amplification using corpus-level constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2017 · 2017
Gkb: A predictive analytics framework to generate online product recommendations
Nicholas Greenquist, Doruk Kilitcioglu, and Anasse Bari. 2019 · 2019
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User expectations towards machine translation: A case study
Barbara Heinisch and Vesna Lušicky. 2019 · 2019
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Attention is not explanation
Sarthak Jain and Byron C Wallace. 2019 · 2019
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Kant’s Moral Philosophy
Robert Johnson and Adam Cureton. 2019 · 2019
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The many dimensions of algorithmic fairness in educational applications
Anastassia Loukina, Nitin Madnani, and Klaus Zechner. 2019 · 2019
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Commonsense knowledge base completion with structural and semantic context
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, and Yejin Choi. 2019 · 2019
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Cited alongside, same era.
#MeToo Alexa: How conversational systems respond to sexual harassment
Amanda Cercas Curry and Verena Rieser. 2018 · 2018
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Annotating educational questions for student response analysis
Andreea Godea and Rodney Nielsen. 2018 · 2018
Cited alongside, same era.
Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
Cited alongside, same era.
Ethical challenges in data-driven dialogue systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, and Joelle Pineau. 2018 · 2018
Cited alongside, same era.
Toward non-intuition-based machine and artificial intelligence ethics: A deontological approach based on modal logic
John N. Hooker and Tae Wan N. Kim. 2018 · 2018
Cited alongside, same era.
WorldTree: A corpus of explanation graphs for elementary science questions supporting multi-hop inference
Peter Jansen, Elizabeth Wainwright, Steven Marmorstein, and Clayton Morrison. 2018 · 2018
Cited alongside, same era.
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Equity beyond bias in language technologies for education
Elijah Mayfield, Michael Madaio, Shrimai Prabhumoye, David Gerritsen, Brittany McLaughlin, Ezekiel Dixon-Román, and Alan W Black. 2019 · 2019
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Proceedings of the 6th Workshop on Asian Translation . Association for Computational Linguistics, Hong Kong, China
Toshiaki Nakazawa, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Nobushige Doi, Yusuke Oda, Ondřej Bojar, Shantipriya Parida, Isao Goto, and Hidaya Mino, editors. 2019 · 2019
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Principled frameworks for evaluating ethics in nlp systems
Shrimai Prabhumoye, Elijah Mayfield, and Alan W Black. 2019 · 2019
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Curio SmartChat : A system for natural language question answering for self-paced k-12 learning
Srikrishna Raamadhurai, Ryan Baker, and Vikraman Poduval. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Explain yourself! leveraging language models for commonsense reasoning
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, and Richard Socher. 2019 · 2019
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Question answering for privacy policies: Combining computational and legal perspectives
Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, and Norman Sadeh. 2019 · 2019
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Integrating ethics within machine learning courses
Jeffrey Saltz, Michael Skirpan, Casey Fiesler, Micha Gorelick, Tom Yeh, Robert Heckman, Neil Dewar, and Nathan Beard. 2019 · 2019
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The risk of racial bias in hate speech detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A. Smith. 2019 · 2019
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Is attention interpretable?
Sofia Serrano and Noah A. Smith. 2019 · 2019
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Mitigating gender bias in natural language processing: Literature review
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang. 2019 · 2019
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Gender bias in contextualized word embeddings
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, and Kai-Wei Chang. 2019 · 2019
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Integrating ethics into the NLP curriculum
Emily M. Bender, Dirk Hovy, and Alexandra Schofield. 2020 · 2020
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Language (technology) is power: A critical survey of “bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
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Scalable and explainable legal prediction
L Karl Branting, Craig Pfeifer, Bradford Brown, Lisa Ferro, John Aberdeen, Brandy Weiss, Mark Pfaff, and Bill Liao. 2020 · 2020
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On consequentialism and fairness
Dallas Card and Noah A. Smith. 2020 · 2020
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Two-phase hypergraph based reasoning with dynamic relations for multi-hop kbqa
Jiale Han, Bo Cheng, and Xizhou Wang. 2020 · 2020
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Towards a critical race methodology in algorithmic fairness
Alex Hanna, Emily Denton, Andrew Smart, and Jamila Smith-Loud. 2020 · 2020
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“you sound just like your father” commercial machine translation systems include stylistic biases
Dirk Hovy, Federico Bianchi, and Tommaso Fornaciari. 2020 · 2020
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Learning to deceive with attention-based explanations
Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, and Zachary C. Lipton. 2020 · 2020
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Autonomy, Rationality, and Contemporary Bioethics [Internet]
J. Pugh. 2020 · 2020
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Social bias frames: Reasoning about social and power implications of language
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, and Yejin Choi. 2020 · 2020
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Predictive biases in natural language processing models: A conceptual framework and overview
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Low-resource knowledge-grounded dialogue generation
Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, and Rui Yan. 2020 · 2020
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Personalized machine translation: Predicting translational preferences
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