Fetching the paper…
Reading the bibliography…
We grapple with the question: How, for whom and why should explainable artificial intelligence (XAI) aim to support the user goal of agency? In particular, we analyze the relationship between agency and explanations through a user-centric lens through case studies and thought experiments.
Stability in Competition
Harold Hotelling. 1929 · 1929
Earlier work this paper cites.
Self-efficacy mechanism in human agency
Albert Bandura. 1982 · 1982
Earlier work this paper cites.
Reflections on human agency: Part I
Albert Bandura. 1996a · 1996
Earlier work this paper cites.
Reflections on human agency: Part II
Albert Bandura. 1996b · 1996
Earlier work this paper cites.
Illusions of control, underestimations, and accuracy: a control heuristic explanation
Suzanne C Thompson, Wade Armstrong, and Craig Thomas. 1998 · 1998
Earlier work this paper cites.
Apparent mental causation: Sources of the experience of will
Daniel M Wegner and Thalia Wheatley. 1999 · 1999
Earlier work this paper cites.
Home Video Editing Made Easy-Balancing Automation and User Control.. In INTERACT
Andreas Girgensohn, Sara A Bly, Frank Shipman, John S Boreczky, and Lynn Wilcox. 2001 · 2001
Earlier work this paper cites.
An introduction to game theory
Martin J. Osborne. 2004 · 2004
Earlier work this paper cites.
Explanation and understanding
Frank C Keil. 2006 · 2006
Earlier work this paper cites.
Illusory agency in vampire: The masquerade–Bloodlines
Esther MacCallum-Stewart and Justin Parsler. 2007 · 2007
Earlier work this paper cites.
Agency, tangible technology and young children. In Proceedings of the 6th international conference on Interaction design and children
Peta Wyeth. 2007 · 2007
Earlier work this paper cites.
Incorporating user control in automated interactive scheduling systems. In Proceedings of the 8th ACM Conference on Designing Interactive Systems
Jina Huh, Martha Pollack, Hadi Katebi, Karem Sakallah, and Ned Kirsch. 2010 · 2010
Earlier work this paper cites.
Player agency and the relevance of decisions. In Joint International Conference on Interactive Digital Storytelling
David Thue, Vadim Bulitko, Marcia Spetch, and Trevon Romanuik. 2010 · 2010
Earlier work this paper cites.
Visualizing and understanding convolutional networks. In European conference on computer vision
Matthew D Zeiler and Rob Fergus. 2014 · 2014
Earlier work this paper cites.
Principles of explanatory debugging to personalize interactive machine learning. In Proceedings of the 20th international conference on intelligent user interfaces
Todd Kulesza, Margaret Burnett, Weng-Keen Wong, and Simone Stumpf. 2015 · 2015
Earlier work this paper cites.
GenderMag: A method for evaluating software’s gender inclusiveness
Margaret Burnett, Simone Stumpf, Jamie Macbeth, Stephann Makri, Laura Beckwith, Irwin Kwan, Anicia Peters, and William Jernigan. 2016 · 2016
Earlier work this paper cites.
" Why should i trust you?" Explaining the predictions of any classifier. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2016 · 2016
Earlier work this paper cites.
Grand Challenges for HCI Researchers
Ben Shneiderman, Catherine Plaisant, Maxine Cohen, Steven Jacobs, Niklas Elmqvist, and Nicholoas Diakopoulos. 2016 · 2016
Cited alongside, same era.
Network dissection: Quantifying interpretability of deep visual representations. In Proceedings of the IEEE conference on computer vision and pattern recognition
David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, and Antonio Torralba. 2017 · 2017
Cited alongside, same era.
Agency informing techniques: Communicating player agency in interactive narratives. In Proceedings of the 12th International Conference on the Foundations of Digital Games
Timothy Day and Jichen Zhu. 2017 · 2017
Cited alongside, same era.
Human agency at work: Towards a clarification and operationalisation of the concept
Michael Goller and Christian Harteis. 2017 · 2017
Cited alongside, same era.
ACM Code of Ethics and Professional Conduct
ACM. 2018 · 2018
Cited alongside, same era.
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-López, Daniel Molina, Richard Benjamins, and others. 2020 · 2020
Later among the works it cites.
Understanding the role of individual units in a deep neural network
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Agata Lapedriza, Bolei Zhou, and Antonio Torralba. 2020 · 2020
Later among the works it cites.
Questioning the AI: informing design practices for explainable AI user experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Q Vera Liao, Daniel Gruen, and Sarah Miller. 2020 · 2020
Later among the works it cites.
Human-centered artificial intelligence: Reliable, safe & trustworthy
Ben Shneiderman. 2020 · 2020
Later among the works it cites.
Digging into User Control: Perceptions of Adherence and Instability in Transparent Models. In Proceedings of the 25th International Conference on Intelligent User Interfaces
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Explainable artificial intelligence: A survey. In 2018 41st International convention on information and communication technology, electronics and microelectronics (MIPRO)
Filip Karlo Došilović, Mario Brčić, and Nikica Hlupić. 2018 · 2018
Cited alongside, same era.
A review of user interface design for interactive machine learning
John J Dudley and Per Ola Kristensson. 2018 · 2018
Cited alongside, same era.
The Illusion of Control: Placebo Effects of Control Settings. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Kristen Vaccaro, Dylan Huang, Motahhare Eslami, Christian Sandvig, Kevin Hamilton, and Karrie Karahalios. 2018 · 2018
Cited alongside, same era.
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Michael Veale, Max Van Kleek, and Reuben Binns. 2018 · 2018
Cited alongside, same era.
A Qualitative Exploration of Perceptions of Algorithmic Fairness. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Allison Woodruff, Sarah E. Fox, Steven Rousso-Schindler, and Jeffrey Warshaw. 2018 · 2018
Cited alongside, same era.
European Union General Data Protection Regulation, Article 15 - “Right of access by the data subject”
GDPR. 2018 · 2019
Cited alongside, same era.
Factual and counterfactual explanations for black box decision making
Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Salvatore Ruggieri, and Franco Turini. 2019 · 2019
Cited alongside, same era.
Alison Smith-Renner, Varun Kumar, Jordan Boyd-Graber, Kevin Seppi, and Leah Findlater. 2020 · 2020
Later among the works it cites.
After-Action Review for AI (AAR/AI)
Jonathan Dodge, Roli Khanna, Jed Irvine, Kin-ho Lam, Theresa Mai, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Andrew Anderson, Sai Raja, Caleb Matthews, Christopher Perdriau, Margaret Burnett, and Alan Fern. 2021 · 2021
Later among the works it cites.
Expanding explainability: Towards social transparency in ai systems. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Upol Ehsan, Q Vera Liao, Michael Muller, Mark O Riedl, and Justin D Weisz. 2021 · 2021
Later among the works it cites.
Living Documents: Designing for User Agency over Automated Text Summarization. In CHI Conference on Human Factors in Computing Systems Extended Abstracts
Iyadunni J Adenuga, Benjamin V Hanrahan, Chen Wu, and Prasenjit Mitra. 2022 · 2022
Later among the works it cites.
Bargaining with the Black-Box: Designing and Deploying Worker-Centric Tools to Audit Algorithmic Management
Dan Calacci and Alex Pentland. 2022 · 2022
Later among the works it cites.
Explainable artificial intelligence for education and training
Krzysztof Fiok, Farzad V Farahani, Waldemar Karwowski, and Tareq Ahram. 2022 · 2022
Later among the works it cites.
Blueprint for an AI Bill of Rights
White House. 2022 · 2022
Later among the works it cites.
Finding AI’s faults with AAR/AI: An empirical study
Roli Khanna, Jonathan Dodge, Andrew Anderson, Rupika Dikkala, Jed Irvine, Zeyad Shureih, Kin-ho Lam, Caleb R Matthews, Zhengxian Lin, Minsuk Kahng, and others. 2022 · 2022
Later among the works it cites.
The sense of agency in joint action: An integrative review
Janeen D Loehr. 2022 · 2022
Later among the works it cites.
Towards relatable explainable AI with the perceptual process. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Wencan Zhang and Brian Y Lim. 2022 · 2022
Later among the works it cites.
Selective Explanations: Leveraging Human Input to Align Explainable AI
Vivian Lai, Yiming Zhang, Chacha Chen, Q Vera Liao, and Chenhao Tan. 2023 · 2023
Closest in time.
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations. In Proceedings of the 28th International Conference on Intelligent User Interfaces
Max Schemmer, Niklas Kuehl, Carina Benz, Andrea Bartos, and Gerhard Satzger. 2023 · 2023
Closest in time.