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Generative AI technologies are growing in power, utility, and use.
Human engineering for an effective air-navigation and traffic-control system, and appendixes 1 thru 3
Paul M Fitts, MS Viteles, NL Barr, DR Brimhall, Glen Finch, Eric Gardner, WF Grether, WE Kellum, and SS Stevens. 1951 · 1951
Earlier work this paper cites.
Human and computer control of undersea teleoperators
Thomas B Sheridan and William L Verplank. 1978 · 1978
Earlier work this paper cites.
Principles of Mixed-Initiative User Interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Pittsburgh, Pennsylvania, USA) (CHI ’99) . Association for Computing Machinery, New York, NY, USA, 159–166
Eric Horvitz. 1999 · 1999
Earlier work this paper cites.
The influence of shared mental models on team process and performance
John E Mathieu, Tonia S Heffner, Gerald F Goodwin, Eduardo Salas, and Janis A Cannon-Bowers. 2000 · 2000
Earlier work this paper cites.
A model for types and levels of human interaction with automation
Raja Parasuraman, Thomas B Sheridan, and Christopher D Wickens. 2000 · 2000
Earlier work this paper cites.
Group dynamics and shared mental model development
Stephen M Fiore, Eduardo Salas, and Janis A Cannon-Bowers. 2001 · 2001
Earlier work this paper cites.
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Ben Hoover, Samuel C. Hoffman, and Aleksandra Mojsilovic. 2020b · 2004
Earlier work this paper cites.
How can computers be partners in the creative process: classification and commentary on the special issue
Todd Lubart. 2005 · 2005
Earlier work this paper cites.
Measuring sharedness of team-related knowledge: Design and validation of a shared mental model instrument
Tristan E Johnson, Youngmin Lee, Miyoung Lee, Debra L O’Connor, Mohammed K Khalil, and Xiaoxia Huang. 2007 · 2007
Earlier work this paper cites.
Value tensions in design: the value sensitive design, development, and appropriation of a corporation’s groupware system. In Proceedings of the 2007 international ACM conference on Supporting group work . 281–290
Jessica K Miller, Batya Friedman, Gavin Jancke, and Brian Gill. 2007 · 2007
Earlier work this paper cites.
Handbook of critical and indigenous methodologies
Norman K Denzin, Yvonna S Lincoln, Linda Tuhiwai Smith, et al · 2008
Earlier work this paper cites.
Helping students build a mental model of computation. In Proceedings of the fifteenth annual conference on Innovation and technology in computer science education . 128–131
Steven Kollmansberger. 2010 · 2010
Earlier work this paper cites.
Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon
Danah Boyd and Kate Crawford. 2012 · 2012
Earlier work this paper cites.
Computational and collective creativity: Who’s being creative?. In ICCC . Citeseer, 67–71
Mary Lou Maher. 2012 · 2012
Earlier work this paper cites.
Raw Data is an Oxymoron
Lisa Gitelman. 2013 · 2013
Earlier work this paper cites.
Sentient Sketchbook: Computer-aided game level authoring.. In FDG . 213–220
Antonios Liapis, Georgios N Yannakakis, Julian Togelius, et al · 2013
Earlier work this paper cites.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Knowing by doing: action research as an approach to HCI
Gillian R Hayes. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Earlier work this paper cites.
Artificial intelligence and the copyright dilemma
Kalin Hristov. 2016 · 2016
Earlier work this paper cites.
Reconstituting the utopian vision of making: HCI after technosolutionism. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems . 1390–1402
Silvia Lindtner, Shaowen Bardzell, and Jeffrey Bardzell. 2016 · 2016
Earlier work this paper cites.
Mixed-initiative creative interfaces. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems . 628–635
Sebastian Deterding, Jonathan Hook, Rebecca Fiebrink, Marco Gillies, Jeremy Gow, Memo Akten, Gillian Smith, Antonios Liapis, and Kate Compton. 2017 · 2017
Earlier work this paper cites.
A framework for developing and using shared mental models in human-agent teams
Matthias Scheutz, Scott A DeLoach, and Julie A Adams. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Creative writing with a machine in the loop: Case studies on slogans and stories. In 23rd International Conference on Intelligent User Interfaces . 329–340
Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, and Noah A Smith. 2018 · 2018
Earlier work this paper cites.
Generative models for direct generation of cnc toolpaths. In 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) . IEEE, 1–6
Benjamin Kaiser, Akos Csiszar, and Alexander Verl. 2018 · 2018
Earlier work this paper cites.
Guidelines for human-AI interaction. In Proceedings of the 2019 chi conference on human factors in computing systems . 1–13
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N Bennett, Kori Inkpen, et al · 2019
Earlier work this paper cites.
Value sensitive design: Shaping technology with moral imagination
Batya Friedman and David G Hendry. 2019 · 2019
Earlier work this paper cites.
Friend, collaborator, student, manager: How design of an ai-driven game level editor affects creators. In Proceedings of the 2019 CHI conference on human factors in computing systems . 1–13
Matthew Guzdial, Nicholas Liao, Jonathan Chen, Shao-Yu Chen, Shukan Shah, Vishwa Shah, Joshua Reno, Gillian Smith, and Mark O Riedl. 2019 · 2019
Earlier work this paper cites.
Spoc: Search-based pseudocode to code
Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, and Percy S Liang. 2019 · 2019
Earlier work this paper cites.
Human-AI collaboration in data science: Exploring data scientists’ perceptions of automated AI
Dakuo Wang, Justin D Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, and Alexander Gray. 2019 · 2019
Earlier work this paper cites.
Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, and Huan Liu. 2019 · 2019
Earlier work this paper cites.
Project clai: Instrumenting the command line as a new environment for ai agents
Mayank Agarwal, Jorge J Barroso, Tathagata Chakraborti, Eli M Dow, Kshitij Fadnis, Borja Godoy, Madhavan Pallan, and Kartik Talamadupula. 2020a · 2020
Earlier work this paper cites.
Quality Estimation & Interpretability for Code Translation. In Proceedings of the NeurIPS 2020 Workshop on Computer-Assisted Programming (NeurIPS 2020)
Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, Michael Muller, John Richards, Steven Ross, and Justin D Weisz. 2020b · 2020
Earlier work this paper cites.
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models
Vijay Arya, Rachel KE Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C Hoffman, Stephanie Houde, Q Vera Liao, Ronny Luss, Aleksandra Mojsilovic, et al · 2020
Earlier work this paper cites.
Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Earlier work this paper cites.
Cogmol: target-specific and selective drug design for COVID-19 using deep generative models
Vijil Chenthamarakshan, Payel Das, Samuel C Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, et al · 2020
Earlier work this paper cites.
Design justice: Community-led practices to build the worlds we need
Sasha Costanza-Chock. 2020 · 2020
Earlier work this paper cites.
Data feminism
Catherine D’ignazio and Lauren F Klein. 2020 · 2020
Earlier work this paper cites.
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2020 · 2020
Cited alongside, same era.
Business (mis)Use Cases of Generative AI. In Joint Proceedings of the Workshops on Human-AI Co-Creation with Generative Models and User-Aware Conversational Agents co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020)
Stephanie Houde, Vera Liao, Jacquelyn Martino, Muller Muller, David Piorkowski, John Richards, Justin D Weisz, and Yunfeng Zhang. 2020 · 2020
Cited alongside, same era.
Questioning the AI: informing design practices for explainable AI user experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–15
Q Vera Liao, Daniel Gruen, and Sarah Miller. 2020 · 2020
Cited alongside, same era.
Novice-AI music co-creation via AI-steering tools for deep generative models. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–13
Ryan Louie, Andy Coenen, Cheng Zhi Huang, Michael Terry, and Carrie J Cai. 2020 · 2020
Cited alongside, same era.
Quantifying memorization across neural language models
Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramer, and Chiyuan Zhang. 2022 · 2022
Later among the works it cites.
Ruijia Cheng, Ruotong Wang, Thomas Zimmermann, and Denae Ford. 2022 · 2022
Later among the works it cites.
Dall-eval: Probing the reasoning skills and social biases of text-to-image generative transformers
Jaemin Cho, Abhay Zala, and Mohit Bansal. 2022 · 2022
Later among the works it cites.
Human Interface Guidelines
Apple Computer. 2022 · 2022
Later among the works it cites.
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Risky Business: Artificial Intelligence and Risk Assessments in Sentencing and Bail Procedures in the United States
Alexandra Lyn. 2020 · 2020
Cited alongside, same era.
Co-designing checklists to understand organizational challenges and opportunities around fairness in AI. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–14
Michael A Madaio, Luke Stark, Jennifer Wortman Vaughan, and Hanna Wallach. 2020 · 2020
Cited alongside, same era.
Regulating deep fakes: legal and ethical considerations
Edvinas Meskys, Julija Kalpokiene, Paulius Jurcys, and Aidas Liaudanskas. 2020 · 2020
Cited alongside, same era.
Meet GPT-3. It Has Learned to Code (and Blog and Argue). (Published 2020)
Cade Metz. 2022 · 2020
Cited alongside, same era.
Interpretable machine learning
Christoph Molnar. 2020 · 2020
Cited alongside, same era.
Mixed initiative generative AI interfaces: An analytic framework for generative AI applications
Michael Muller, Justin D. Weisz, and Werner Geyer. 2020 · 2020
Cited alongside, same era.
Unsupervised Translation of Programming Languages.. In NeurIPS
Baptiste Roziere, Marie-Anne Lachaux, Lowik Chanussot, and Guillaume Lample. 2020 · 2020
Cited alongside, same era.
Machines as teammates: A research agenda on AI in team collaboration
Isabella Seeber, Eva Bittner, Robert O Briggs, Triparna De Vreede, Gert-Jan De Vreede, Aaron Elkins, Ronald Maier, Alexander B Merz, Sarah Oeste-Reiß, Nils Randrup, et al · 2020
Cited alongside, same era.
Paul Denny, Viraj Kumar, and Nasser Giacaman. 2022 · 2022
Later among the works it cites.
Design as democratic inquiry: putting experimental civics into practice
Carl DiSalvo. 2022 · 2022
Later among the works it cites.
Human-Centered Explainable AI (HCXAI): beyond opening the black-box of AI. In CHI Conference on Human Factors in Computing Systems Extended Abstracts . 1–7
Upol Ehsan, Philipp Wintersberger, Q Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, and Mark O Riedl. 2022 · 2022
Later among the works it cites.
Copyright in generative deep learning
Giorgio Franceschelli and Mirco Musolesi. 2022 · 2022
Later among the works it cites.
Towards a Framework for Human-AI Interaction Patterns in Co-Creative GAN Applications
Imke Grabe, Miguel González-Duque, Sebastian Risi, and Jichen Zhu. 2022 · 2022
Later among the works it cites.
Prompt engineering, text generation and large language models
Cobus Greyling. 2022 · 2022
Later among the works it cites.
Why Meta’s latest large language model survived only three days online
Will Douglas Heaven. 2022 · 2022
Later among the works it cites.
Evaluating Mixed-Initiative Creative Interfaces via Expressive Range Coverage Analysis.. In IUI Workshops . 34–45
Max Kreminski, Isaac Karth, Michael Mateas, and Noah Wardrip-Fruin. 2022 · 2022
Later among the works it cites.
Design Guidelines for Prompt Engineering Text-to-Image Generative Models. In CHI Conference on Human Factors in Computing Systems . 1–23
Vivian Liu and Lydia B Chilton. 2022 · 2022
Later among the works it cites.
A Research Plan for Integrating Generative and Cognitive AI for Human Centered, Explainable Co-Creative AI. In ACM CHI Conference on Human Factors in Computing Systems
Mary Lou Maher, Brian Magerko, Dan Venura, Douglas Fisher, Rogelio Cardona-rivera, Nancy Fulda, Johannes Gooth, Minwoo Lee, David Wilson, James Kaufman, et al · 2022
Later among the works it cites.
The Design Space of Generative Models. In Proceedings of the NeurIPS 2022 Workshop on Human-Centered AI (NeurIPS 2022)
Meredith Ringel Morris, Carrie J. Cai, Jess Holbrook, Chinmay Kulkarni, and Michael Terry. 2022 · 2022
Later among the works it cites.
HCAI@NeurIPS 2022, Human Centered AI. In Annual Conference on Neural Information Processing Systems
Michael Muller, Plamen Agelov, Hal Daume, Q Vera Liao, Nuria Oliver, David Piorkowski, et al · 2022
Later among the works it cites.
Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122. In Joint Proceedings of the IUI 2022 Workshops: APEx-UI, HAI-GEN, HEALTHI, HUMANIZE, TExSS, SOCIALIZE co-located with the ACM International Conference on Intelligent User Interfaces (IUI 2022), Virtual Event, Helsinki, Finland, March 21-22, 2022 (CEUR Workshop Proceedings, Vol. 3124) , Alison Smith-Renner and Ofra Amir (Eds.). CEUR-WS.org, 107–122
Michael Muller, Steven I. Ross, Stephanie Houde, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, and Justin D. Weisz. 2022c · 2022
Later among the works it cites.
Forgetting Practices in the Data Sciences. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Michael Muller and Angelika Stroymayer. 2022 · 2022
Later among the works it cites.
Extending a Human-AI Collaboration Framework with Dynamism and Sociality. In 2022 Symposium on Human-Computer Interaction for Work . 1–12
Michael Muller and Justin Weisz. 2022 · 2022
Later among the works it cites.
Generative and AI Authored Artworks and Copyright Law
Michael D Murray. 2022 · 2022
Later among the works it cites.
Breakdowns, Language Use, and Weird Errors: Past, Present, and Future of Research on Conversational Agents at BRL, in IBM Research Cambridge Lab Guess Speaker Series
Claudio Pinhanez. 2022 · 2022
Later among the works it cites.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
Later among the works it cites.
Human-Centered AI
Ben Shneiderman. 2022 · 2022
Later among the works it cites.
XAI for learning: Narrowing down the digital divide between “new” and “old” experts. In Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference . 1–6
Auste Simkute, Aditi Surana, Ewa Luger, Michael Evans, and Rhianne Jones. 2022 · 2022
Later among the works it cites.
Large Language Models Encode Clinical Knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al · 2022
Later among the works it cites.
Investigating Explainability of Generative AI for Code through Scenario-based Design. In 27th International Conference on Intelligent User Interfaces . 212–228
Jiao Sun, Q Vera Liao, Michael Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, and Justin D Weisz. 2022 · 2022
Later among the works it cites.
Ai-generated answers temporarily banned on coding Q&A site stack overflow
James Vincent. 2022 · 2022
Later among the works it cites.
HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. In 27th International Conference on Intelligent User Interfaces . 4–6
Justin D Weisz, Mary Lou Maher, Hendrik Strobelt, Lydia B Chilton, David Bau, and Werner Geyer. 2022a · 2022
Later among the works it cites.
Will AI text-to-image generators put illustrators out of a job?
Alex Wilkins. 2022 · 2022
Later among the works it cites.
Words Matter: Alternatives for Charged Terminology in the Computing Profession
ACM. 2023 · 2023
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Racial Equity in Design
IBM. 2023 · 2023
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Coded Bias
Shalini Kantayya. 2020 · 2023
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We provided mental health support to about 4,000 people — using GPT-3. Here’s what happened
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Janus Rose. 2022 · 2023
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The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software Development. In 28th International Conference on Intelligent User Interfaces
Steven I Ross, Fernando Martinez, Stephanie Houde, Michael Muller, and Justin D Weisz. 2023 · 2023
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