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Over the last several years, end-to-end neural conversational agents have vastly improved in their ability to carry a chit-chat conversation with humans.
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Stupid computer! abuse and social identities
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Multi-dimensional gender bias classification
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Japanese: A heavily culture-laden language
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Ellen Peters, Daniel Västfjäll, Paul Slovic, CK Mertz, Ketti Mazzocco, and Stephan Dickert · 2006
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Value tensions in design: the value sensitive design, development, and appropriation of a corporation’s groupware system
Jessica K Miller, Batya Friedman, Gavin Jancke, and Brian Gill · 2007
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I hate you! disinhibition with virtual partners
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Value sensitive design and information systems
Batya Friedman, Peter H Kahn, and Alan Borning · 2008
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Automatic learning and evaluation of user-centered objective functions for dialogue system optimisation
Verena Rieser and Oliver Lemon · 2008
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Deploying lifelong open-domain dialogue learning
Kurt Shuster, Jack Urbanek, Emily Dinan, Arthur Szlam, and Jason Weston · 2008
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Detecting and classifying malevolent dialogue responses: Taxonomy, data and methodology
Yangjun Zhang, Pengjie Ren, and Maarten de Rijke · 2008
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Privacy by design: The 7 foundational principles
Ann Cavoukian et al · 2009
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Realtoxicityprompts: Evaluating neural toxic degeneration in language models
Sam Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, and Noah A Smith · 2009
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How numeracy influences risk comprehension and medical decision making
Valerie F Reyna, Wendy L Nelson, Paul K Han, and Nathan F Dieckmann · 2009
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Nudge: Improving decisions about health, wealth, and happiness
Richard H Thaler and Cass R Sunstein · 2009
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If i look at the mass i will never act: Psychic numbing and genocide
Paul Slovic · 2010
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Dániel Z Kádár and Sara Mills · 2011
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Thinking, fast and slow
Daniel Kahneman · 2011
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Crisis MT: Developing a cookbook for MT in crisis situations
William Lewis, Robert Munro, and Stephan Vogel · 2011
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Nianwen Xue · 2011
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RankME: Reliable human ratings for natural language generation
Jekaterina Novikova, Ondřej Dušek, and Verena Rieser · 2012
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Hatecheck: Functional tests for hate speech detection models
Paul Röttger, Bertram Vidgen, Dong Nguyen, Zeerak Waseem, Helen Z. Margetts, and Janet B. Pierrehumbert · 2012
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Predicting depression via social media
Munmun De Choudhury, Michael Gamon, Scott Counts, and Eric Horvitz · 2013
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A framework and tool for collaborative extraction of reliable information
Graham Neubig, Shinsuke Mori, and Masahiro Mizukami · 2013
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Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk and rationality
Paul Slovic, Melissa L Finucane, Ellen Peters, and Donald G MacGregor · 2013
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Translating values into design requirements
Ibo Van de Poel · 2013
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Hateful symbols or hateful people? Predictive features for hate speech detection on Twitter
Zeerak Waseem and Dirk Hovy · 2013
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Quantifying mental health signals in Twitter
Glen Coppersmith, Mark Dredze, and Craig Harman · 2014
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VADER: A parsimonious rule-based model for sentiment analysis of social media text
Clayton J. Hutto and Eric Gilbert · 2014
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Algorithm aversion: People erroneously avoid algorithms after seeing them err
Berkeley J Dietvorst, Joseph P Simmons, and Cade Massey · 2015
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Machine learning for dialog state tracking: A review
Matthew Henderson · 2015
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Neural responding machine for short-text conversation
Lifeng Shang, Zhengdong Lu, and Hang Li · 2015
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Thinking ethically
Manuel Velasquez, Claire Andre, Thomas Shanks, and Michael J Meyer · 2015
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A neural conversational model
Oriol Vinyals and Quoc Le · 2015
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Accountability in algorithmic decision making
Nicholas Diakopoulos · 2016
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How short is too short? implications of length and framing on the effectiveness of privacy notices
Joshua Gluck, Florian Schaub, Amy Friedman, Hana Habib, Norman Sadeh, Lorrie Faith Cranor, and Yuvraj Agarwal · 2016
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The social impact of natural language processing
Dirk Hovy and Shannon L Spruit · 2016
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Revisiting visual question answering baselines
Allan Jabri, Armand Joulin, and Laurens Van Der Maaten · 2016
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Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C Courville, and Joelle Pineau · 2016
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Multitask learning for mental health conditions with limited social media data
Adrian Benton, Margaret Mitchell, and Dirk Hovy · 2017
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SHIHbot: A Facebook chatbot for sexual health information on HIV/AIDS
Jacqueline Brixey, Rens Hoegen, Wei Lan, Joshua Rusow, Karan Singla, Xusen Yin, Ron Artstein, and Anton Leuski · 2017
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Automatic detection of hate speech in text: an overview of the topic and dataset annotation with hierarchical classes
Paula Cristina Teixeira Fortuna · 2017
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A survey of value sensitive design methods
Batya Friedman, David G Hendry, and Alan Borning · 2017
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Why we should have seen that coming
K.W Miller, Marty J Wolf, and F.S. Grodzinsky · 2017
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Alana: Social dialogue using an ensemble model and a ranker trained on user feedback
Ioannis Papaioannou, Amanda Cercas Curry, Jose Part, Igor Shalyminov, Xu Xinnuo, Yanchao Yu, Ondrej Dusek, Verena Rieser, and Oliver Lemon · 2017
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher · 2017
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Conversational AI: The science behind the Alexa Prize
Ashwin Ram, Rohit Prasad, Chandra Khatri, Anu Venkatesh, Raefer Gabriel, Qing Liu, Jeff Nunn, Behnam Hedayatnia, Ming Cheng, Ashish Nagar, Eric King, Kate Bland, Amanda Wartick, Yi Pan, Han Song, Sk Jayadevan, Gene Hwang, and Art Pettigrue · 2017
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A survey on hate speech detection using natural language processing
Anna Schmidt and Michael Wiegand · 2017
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I feel offended, don’t be abusive! implicit/explicit messages in offensive and abusive language
Tommaso Caselli, Valerio Basile, Jelena Mitrović, Inga Kartoziya, and Michael Granitzer · 2020
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BioMedBERT: A pre-trained biomedical language model for QA and IR
Souradip Chakraborty, Ekaba Bisong, Shweta Bhatt, Thomas Wagner, Riley Elliott, and Francesco Mosconi · 2020
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Empathy is all you need: How a conversational agent should respond to verbal abuse
Hyojin Chin, Lebogang Wame Molefi, and Mun Yong Yi · 2020
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Spot the bot: A robust and efficient framework for the evaluation of conversational dialogue systems
Jan Deriu, Don Tuggener, Pius von Däniken, Jon Ander Campos, Alvaro Rodrigo, Thiziri Belkacem, Aitor Soroa, Eneko Agirre, and Mark Cieliebak · 2020
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Evaluating the state-of-the-art of end-to-end natural language generation: The e2e nlg challenge
Ondřej Dušek, Jekaterina Novikova, and Verena Rieser · 2020
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Membership inference attacks against machine learning models
Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov · 2017
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The impact of culture on loss aversion
Mei Wang, Marc Oliver Rieger, and Thorsten Hens · 2017
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Ex machina: Personal attacks seen at scale
Ellery Wulczyn, Nithum Thain, and Lucas Dixon · 2017
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Depression and self-harm risk assessment in online forums
Andrew Yates, Arman Cohan, and Nazli Goharian · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions
T. Araujo · 2018
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Patient and consumer safety risks when using conversational assistants for medical information: An observational study of siri, alexa, and google assistant
Timothy W Bickmore, Ha Trinh, Stefan Olafsson, Teresa K O’Leary, Reza Asadi, Nathaniel M Rickles, and Ricardo Cruz · 2018
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Returning the N to NLP: Towards contextually personalized classification models
Lucie Flek · 2020
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Toxic, hateful, offensive or abusive? what are we really classifying? an empirical analysis of hate speech datasets
Paula Fortuna, Juan Soler, and Leo Wanner · 2020
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RealToxicityPrompts: Evaluating neural toxic degeneration in language models
Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, and Noah A. Smith · 2020
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Cyberbullying detection with fairness constraints
Oguzhan Gencoglu · 2020
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XHate-999: Analyzing and detecting abusive language across domains and languages
Goran Glavaš, Mladen Karan, and Ivan Vulić · 2020
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Fortifying toxic speech detectors against veiled toxicity, 2020
Xiaochuang Han and Yulia Tsvetkov · 2020
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Harm inflation: Making sense of concept creep
Nick Haslam, Brodie C. Dakin, Fabian Fabiano, Melanie J. McGrath, Joshua Rhee, Ekaterina Vylomova, Morgan Weaving, and Melissa A. Wheeler · 2020
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Twenty years of confusion in human evaluation: Nlg needs evaluation sheets and standardised definitions
David M Howcroft, Anja Belz, Miruna-Adriana Clinciu, Dimitra Gkatzia, Sadid A Hasan, Saad Mahamood, Simon Mille, Emiel van Miltenburg, Sashank Santhanam, and Verena Rieser · 2020
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Suicidal ideation detection: A review of machine learning methods and applications
Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, and Zi Huang · 2020
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The hateful memes challenge: Detecting hate speech in multimodal memes
Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, and Davide Testuggine · 2020
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Towards ethics by design in online abusive content detection, 2020
Svetlana Kiritchenko and Isar Nejadgholi · 2020
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Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying , Marseille, France, May 2020. European Language Resources Association (ELRA)
Ritesh Kumar, Atul Kr. Ojha, Bornini Lahiri, Marcos Zampieri, Shervin Malmasi, Vanessa Murdock, and Daniel Kadar (eds.) · 2020
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Learning from the covid-19 pandemic to address climate change
Howard Kunreuther and Paul Slovic · 2020
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Retrieval-augmented generation for knowledge-intensive NLP tasks
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela · 2020
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Chat as expected: Learning to manipulate black-box neural dialogue models
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Politeness transfer: A tag and generate approach
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USR: An unsupervised and reference free evaluation metric for dialog generation
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Getting started with neurips 2020, 2020
Neural Information Processing Systems Conference NeurIPS · 2020
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Neural generation meets real people: Towards emotionally engaging mixed-initiative conversations
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Publication norms for responsible ai: Ongoing initiative, 2020
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BLEURT: Learning robust metrics for text generation
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Directions in abusive language training data: Garbage in, garbage out, 2020
Bertie Vidgen and Leon Derczynski · 2020
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Learning from the worst: Dynamically generated datasets to improve online hate detection
Bertie Vidgen, Tristan Thrush, Zeerak Waseem, and Douwe Kiela · 2020
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Detect all abuse! toward universal abusive language detection models
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Chatbots RESET: A framework for governing responsible use of conversational AI in healthcare, 2020
World Economic Forum · 2020
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Demoting racial bias in hate speech detection
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Recipes for safety in open-domain chatbots, 2020
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