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Chatbots have been studied for more than half a century.
Eliza—a computer program for the study of natural language communication between man and machine
Joseph Weizenbaum · 1966
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Artificial paranoia
Kenneth Mark Colby, Sylvia Weber, and Franklin Dennis Hilf · 1971
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Computer power and human reason: From judgment to calculation
Joseph Weizenbaum · 1976
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Modeling a paranoid mind
Kenneth Mark Colby · 1981
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Models for sample selection bias
Christopher Winship and Robert D Mare · 1992
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Varieties of confirmation bias
Joshua Klayman · 1995
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Are machines gender neutral? gender-stereotypic responses to computers with voices
Clifford Nass, Youngme Moon, and Nancy Green · 1997
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A comparison between Alice and Elizabeth chatbot systems
Bayan Abu Shawar and Eric Atwell · 2002
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Language identification: a solved problem suitable for undergraduate instruction
Paul McNamee · 2005
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Bringing chatbots into education: Towards natural language negotiation of open learner models
Alice Kerlyl, Phil Hall, and Susan Bull · 2006
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Fostering language learner autonomy through adaptive conversation tutors
Bayan Abu Shawar and Eric Atwell · 2007
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Everyone’s a little bit biased (even physicians)
Daylian M Cain and Allan S Detsky · 2008
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Computing machinery and intelligence
Alan M Turing · 2009
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The anatomy of ALICE
Richard S Wallace · 2009
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Chatterbots
OV Deryugina · 2010
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Language identification: A tutorial
Eliathamby Ambikairajah, Haizhou Li, Liang Wang, Bo Yin, and Vidhyasaharan Sethu · 2011
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How innovative is apple’s new voice assistant, siri?, 2011
Jacob Aron · 2011
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A survey of chatbot systems through a loebner prize competition
Luka Bradeško and Dunja Mladenić · 2012
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Gender affordances of conversational agents
Sheryl Brahnam and Antonella De Angeli · 2012
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(s) he’s got the look: Gender stereotyping of robots 1
Friederike Eyssel and Frank Hegel · 2012
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The era of cognitive systems: An inside look at ibm watson and how it works
Rob High · 2012
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Reporting bias and knowledge acquisition
Jonathan Gordon and Benjamin Van Durme · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
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Design of chatbot with 3d avatar, voice interface, and facial expression
P Antonius Angga, W Edwin Fachri, A Elevanita, R Dewi Agushinta, et al · 2015
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Review of integrated applications with aiml based chatbot
Md Shahriare Satu, Md Hasnat Parvez, et al · 2015
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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
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Ibm watson: how cognitive computing can be applied to big data challenges in life sciences research
Ying Chen, JD Elenee Argentinis, and Griff Weber · 2016
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Is in-group bias culture-dependent? a meta-analysis across 18 societies
Ronald Fischer and Crysta Derham · 2016
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Inherent trade-offs in the fair determination of risk scores
Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan · 2016
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Talking to bots: Symbiotic agency and the case of tay
Gina Neff · 2016
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Shape it–the influence of robot body shape on gender perception in robots
Jasmin Bernotat, Friederike Eyssel, and Janik Sachse · 2017
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Why people use chatbots
Petter Bae Brandtzaeg and Asbjørn Følstad · 2017
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Chatbot: Architecture, design, & development
Jack Cahn · 2017
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan · 2017
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The trouble with bias
Kate Crawford · 2017
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Chatbots and the new world of hci
Asbjørn Følstad and Petter Bae Brandtzæg · 2017
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Fairness testing: testing software for discrimination
Sainyam Galhotra, Yuriy Brun, and Alexandra Meliou · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
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Counterfactual fairness
Matt J Kusner, Joshua Loftus, Chris Russell, and Ricardo Silva · 2017
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The effect of cognitive diversity on the illusion of control bias in strategic decisions: An experimental investigation
Philip Meissner and Torsten Wulf · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Why we should have seen that coming: comments on microsoft’s tay" experiment," and wider implications
Marty J Wolf, K Miller, and Frances S Grodzinsky · 2017
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DeepPath: A reinforcement learning method for knowledge graph reasoning
Wenhan Xiong, Thien Hoang, and William Yang Wang · 2017
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Fairness constraints: Mechanisms for fair classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez, and Krishna P Gummadi · 2017
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Chatbots–an interactive technology for personalized communication, transactions and services
Darius Zumstein and Sophie Hundertmark · 2017
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Bias on the web
Ricardo Baeza-Yates · 2018
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Multimodal machine learning: A survey and taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, and Louis-Philippe Morency · 2018
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Rachel KE Bellamy, Kuntal Dey, Michael Hind, Samuel C Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, et al · 2018
Earlier work this paper cites.
Distinct facial expressions represent pain and pleasure across cultures
Chaona Chen, Carlos Crivelli, Oliver GB Garrod, Philippe G Schyns, José-Miguel Fernández-Dols, and Rachael E Jack · 2018
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Conversing with personal digital assistants: On gender and artificial intelligence
Pedro Costa · 2018
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# metoo alexa: how conversational systems respond to sexual harassment
Amanda Cercas Curry and Verena Rieser · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Measuring and mitigating unintended bias in text classification
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman · 2018
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Automating inequality: How high-tech tools profile, police, and punish the poor
Virginia Eubanks · 2018
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What makes users trust a chatbot for customer service? an exploratory interview study
Asbjørn Følstad, Cecilie Bertinussen Nordheim, and Cato Alexander Bjørkli · 2018
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Survey of the state of the art in natural language generation: Core tasks, applications and evaluation
Albert Gatt and Emiel Krahmer · 2018
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Approaches for dialog management in conversational agents
Jan-Gerrit Harms, Pavel Kucherbaev, Alessandro Bozzon, and Geert-Jan Houben · 2018
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Women also snowboard: Overcoming bias in captioning models
Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, and Anna Rohrbach · 2018
Earlier work this paper cites.
Alexa, siri, cortana, and more: an introduction to voice assistants
Matthew B Hoy · 2018
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Next-generation of virtual personal assistants (microsoft cortana, apple siri, amazon alexa and google home)
Veton Kepuska and Gamal Bohouta · 2018
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A neural network framework for cognitive bias
Johan E Korteling, Anne-Marie Brouwer, and Alexander Toet · 2018
Earlier work this paper cites.
Implementation of a chatbot system using ai and nlp
Tarun Lalwani, Shashank Bhalotia, Ashish Pal, Vasundhara Rathod, and Shreya Bisen · 2018
Earlier work this paper cites.
Cognitive biases in software engineering: a systematic mapping study
Rahul Mohanani, Iflaah Salman, Burak Turhan, Pilar Rodríguez, and Paul Ralph · 2018
Earlier work this paper cites.
Reducing gender bias in abusive language detection
Ji Ho Park, Jamin Shin, and Pascale Fung · 2018
Earlier work this paper cites.
Ensuring fairness in machine learning to advance health equity
Alvin Rajkomar, Michaela Hardt, Michael D Howell, Greg Corrado, and Marshall H Chin · 2018
Earlier work this paper cites.
Gender bias in coreference resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme · 2018
Earlier work this paper cites.
Aequitas: A bias and fairness audit toolkit
Pedro Saleiro, Benedict Kuester, Loren Hinkson, Jesse London, Abby Stevens, Ari Anisfeld, Kit T Rodolfa, and Rayid Ghani · 2018
Earlier work this paper cites.
Let’s talk about race: Identity, chatbots, and ai
Ari Schlesinger, Kenton P O’Hara, and Alex S Taylor · 2018
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From eliza to xiaoice: challenges and opportunities with social chatbots
Heung-Yeung Shum, Xiao-dong He, and Di Li · 2018
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Fairness definitions explained
Sahil Verma and Julia Rubin · 2018
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Asking more of siri and alexa: feminine persona in service of surveillance capitalism
Heather Suzanne Woods · 2018
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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
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Fairness in representation: quantifying stereotyping as a representational harm
Mohsen Abbasi, Sorelle A Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian · 2019
Cited alongside, same era.
Bias and fairness in natural language processing
Kai-Wei Chang, Vinodkumar Prabhakaran, and Vicente Ordonez · 2019
Cited alongside, same era.
Ai becomes her: Discussing gender and artificial intelligence
Pedro Costa and Luísa Ribas · 2019
Cited alongside, same era.
A survey on conversational agents/chatbots classification and design techniques
Shafquat Hussain, Omid Ameri Sianaki, and Nedal Ababneh · 2019
Cited alongside, same era.
How chatbots influence marketing
Dominika Kaczorowska-Spychalska · 2019
Cited alongside, same era.
Exploring social bias in chatbots using stereotype knowledge
Nayeon Lee, Andrea Madotto, and Pascale Fung · 2019
Cited alongside, same era.
Machine learning: Algorithms, real-world applications and research directions
Iqbal H Sarker · 2021
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Societal biases in language generation: Progress and challenges
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng · 2021
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Biases in ai systems
Ramya Srinivasan and Ajay Chander · 2021
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Service chatbots: A systematic review
Sinarwati Mohamad Suhaili, Naomie Salim, and Mohamad Nazim Jambli · 2021
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A framework for understanding sources of harm throughout the machine learning life cycle
Harini Suresh and John Guttag · 2021
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Visual to text: Survey of image and video captioning
Sheng Li, Zhiqiang Tao, Kang Li, and Yun Fu · 2019
Cited alongside, same era.
Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases
Xueming Luo, Siliang Tong, Zheng Fang, and Zhe Qu · 2019
Cited alongside, same era.
Chatbots and gender stereotyping
Marian McDonnell and David Baxter · 2019
Cited alongside, same era.
Speech recognition using deep neural networks: A systematic review
Ali Bou Nassif, Ismail Shahin, Imtinan Attili, Mohammad Azzeh, and Khaled Shaalan · 2019
Cited alongside, same era.
Bias in artificial intelligence
Gregory S Nelson · 2019
Cited alongside, same era.
A review of deep learning based speech synthesis
Yishuang Ning, Sheng He, Zhiyong Wu, Chunxiao Xing, and Liang-Jie Zhang · 2019
Cited alongside, same era.
Xu Tan, Tao Qin, Frank Soong, and Tie-Yan Liu · 2021
Later among the works it cites.
Bias in, bias out–the similarity-attraction effect between chatbot designers and users
Sarah Zabel and Siegmar Otto · 2021
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Machine bias
Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner · 2022
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Openai chatgpt generated literature review: Digital twin in healthcare
Ömer Aydın and Enis Karaarslan · 2022
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Measuring and mitigating bias in ai-chatbots
Hedin Beattie, Lanier Watkins, William H Robinson, Aviel Rubin, and Shari Watkins · 2022
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A literature survey of recent advances in chatbots
Guendalina Caldarini, Sardar Jaf, and Kenneth McGarry · 2022
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
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An era of chatgpt as a significant futuristic support tool: A study on features, abilities, and challenges
Abid Haleem, Mohd Javaid, and Ravi Pratap Singh · 2022
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Mubin Ul Haque, Isuru Dharmadasa, Zarrin Tasnim Sworna, Roshan Namal Rajapakse, and Hussain Ahmad · 2022
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Algorithmic fairness in education
René F Kizilcec and Hansol Lee · 2022
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Algorithmic bias: review, synthesis, and future research directions
Nima Kordzadeh and Maryam Ghasemaghaei · 2022
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Mitigating racial bias in machine learning
Kristin M Kostick-Quenet, I Glenn Cohen, Sara Gerke, Bernard Lo, James Antaki, Faezah Movahedi, Hasna Njah, Lauren Schoen, Jerry E Estep, and JS Blumenthal-Barby · 2022
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Green learning: Introduction, examples and outlook
C-C Jay Kuo and Azad M Madni · 2022
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A survey on providing customer and public administration based services using ai: chatbot
Krishna Kumar Nirala, Nikhil Kumar Singh, and Vinay Shivshanker Purani · 2022
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Large pre-trained language models contain human-like biases of what is right and wrong to do
Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A Rothkopf, and Kristian Kersting · 2022
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When female (male) robot is talking to me: Effect of service robots’ gender and anthropomorphism on customer satisfaction
Soobin Seo · 2022
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Why so toxic? measuring and triggering toxic behavior in open-domain chatbots
Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, and Yang Zhang · 2022
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Lamda: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, et al · 2022
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Education in the era of generative artificial intelligence (ai): Understanding the potential benefits of chatgpt in promoting teaching and learning
David Baidoo-Anu and Leticia Owusu Ansah · 2023
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Potential use of chat gpt in global warming
Som S Biswas · 2023
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Role of chat gpt in public health
Som S Biswas · 2023
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Artificial influence: An analysis of ai-driven persuasion
Matthew Burtell and Thomas Woodside · 2023
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Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S Yu, and Lichao Sun · 2023
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Gpt-3 and instructgpt: technological dystopianism, utopianism, and “contextual” perspectives in ai ethics and industry
Anastasia Chan · 2023
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A preliminary investigation of fake peer-reviewed citations and references generated by chatgpt
Terence Day · 2023
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On bias and fairness in nlp: How to have a fairer text classification?
Fatma Elsafoury, Stamos Katsigiannis, and Naeem Ramzan · 2023
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Emilio Ferrara · 2023
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Should chatgpt be biased? challenges and risks of bias in large language models
Emilio Ferrara · 2023
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How chat gpt can transform autodidactic experiences and open education
Mehmet Firat · 2023
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Mohammad Fraiwan and Natheer Khasawneh · 2023
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Compounding geometric operations for knowledge graph completion
Xiou Ge, Yun Cheng Wang, Bin Wang, and C.-C. Jay Kuo · 2023
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Learning to fake it: limited responses and fabricated references provided by chatgpt for medical questions
Jocelyn Gravel, Madeleine D’Amours-Gravel, and Esli Osmanlliu · 2023
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An exploratory survey about using chatgpt in education, healthcare, and research
Mohammad Hosseini, Catherine A Gao, David M Liebovitz, Alexandre M Carvalho, Faraz S Ahmad, Yuan Luo, Ngan MacDonald, Kristi L Holmes, and Abel Kho · 2023
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The prospects and challenges of chatgpt on marketing research and practices
Varsha Jain, Himanshu Rai, Parvathy Subash, and Emmanuel Mogaji · 2023
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Chatgpt for good? on opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Günnemann, Eyke Hüllermeier, et al · 2023
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Natural language processing: State of the art, current trends and challenges
Diksha Khurana, Aditya Koli, Kiran Khatter, and Sukhdev Singh · 2023
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Chatbots in education and research: A critical examination of ethical implications and solutions
Chokri Kooli · 2023
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Yunqi Li and Yongfeng Zhang · 2023
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Is chat gpt biased against conservatives? an empirical study
Robert W McGee · 2023
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Auditing large language models: a three-layered approach
Jakob Mökander, Jonas Schuett, Hannah Rose Kirk, and Luciano Floridi · 2023
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Unifying large language models and knowledge graphs: A roadmap
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, and Xindong Wu · 2023
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Chatgpt and consumers: Benefits, pitfalls and future research agenda, 2023
Justin Paul, Akiko Ueno, and Charles Dennis · 2023
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Bias mimicking: A simple sampling approach for bias mitigation
Maan Qraitem, Kate Saenko, and Bryan A Plummer · 2023
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Chatgpt: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
Partha Pratim Ray · 2023
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Marketing with chatgpt: Navigating the ethical terrain of gpt-based chatbot technology
Pablo Rivas and Liang Zhao · 2023
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The political biases of chatgpt
David Rozado · 2023
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The self-perception and political biases of chatgpt
Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, and Markus Pauly · 2023
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Chatgpt utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns
Malik Sallam · 2023
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The gradient of generative ai release: Methods and considerations
Irene Solaiman · 2023
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Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, and Jian Guo · 2023
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“what can chatgpt do?” analyzing early reactions to the innovative ai chatbot on twitter
Viriya Taecharungroj · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Chatgpt: five priorities for research
Eva AM Van Dis, Johan Bollen, Willem Zuidema, Robert van Rooij, and Claudi L Bockting · 2023
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Fairpy: A toolkit for evaluation of social biases and their mitigation in large language models
Hrishikesh Viswanath and Tianyi Zhang · 2023
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Interactive marketing is the new normal
Cheng Lu Wang · 2023
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Chatcad: Interactive computer-aided diagnosis on medical image using large language models
Sheng Wang, Zihao Zhao, Xi Ouyang, Qian Wang, and Dinggang Shen · 2023
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Large-scale multi-modal pre-trained models: A comprehensive survey
Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei, Yaowei Wang, Yonghong Tian, and Wen Gao · 2023
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An overview on generative ai at scale with edge-cloud computing
Yun-Cheng Wang, Jintang Xue, Chengwei Wei, and C.-C. Jay Kuo · 2023
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An overview on language models: Recent developments and outlook
Chengwei Wei, Yun-Cheng Wang, Bin Wang, and C-C Jay Kuo · 2023
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A brief overview of chatgpt: The history, status quo and potential future development
Tianyu Wu, Shizhu He, Jingping Liu, Siqi Sun, Kang Liu, Qing-Long Han, and Yang Tang · 2023
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Cross-modal text and visual generation: A systematic review. part 1—image to text
Maciej Żelaszczyk and Jacek Mańdziuk · 2023
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Text-to-image diffusion model in generative ai: A survey
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, and In So Kweon · 2023
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Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation
Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, et al · 2023
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Ethical chatgpt: Concerns, challenges, and commandments
Jianlong Zhou, Heimo Müller, Andreas Holzinger, and Fang Chen · 2023
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Chatgpt and environmental research
Jun-Jie Zhu, Jinyue Jiang, Meiqi Yang, and Zhiyong Jason Ren · 2023
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Exploring ai ethics of chatgpt: A diagnostic analysis
Terry Yue Zhuo, Yujin Huang, Chunyang Chen, and Zhenchang Xing · 2023
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