Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3663384.3663390acmotherconferencesArticle/Chapter ViewAbstractPublication PageschiworkConference Proceedingsconference-collections
research-article
Open access

Drinking Chai with Your (AI) Programming Partner: Value Tensions in the Tokenization of Future Human-AI Collaborative Work

Published: 25 June 2024 Publication History
  • Get Citation Alerts
  • Abstract

    The new technologies of generative AI present important ethical challenges for application design in relation to human work and future workplaces. Using an extended design fiction, we conducted a critical inquiry into possible futures of generative applications based in human activities. We explored potential benefits and harms. 30 members of our international workplace read the design fiction, rated each of the 13 brief chapters, and critiqued the narrative. We interpret their responses using value tensions (Value Sensitive Design) and design theories of refusal, non-use, and un-use. We propose situated refusal, a combination of value tensions and refusal theory, and we describe three major dimensions of that perspective: Who is guiding the work? How much voluntary adoption? Who else is affected by the individual worker’s decisions?

    References

    [1]
    Milad Abdollahzadeh, Touba Malekzadeh, Christopher TH Teo, Keshigeyan Chandrasegaran, Guimeng Liu, and Ngai-Man Cheung. 2023. A survey on generative modeling with limited data, few shots, and zero shot. arXiv preprint arXiv:2307.14397 (2023).
    [2]
    Nadisha-Marie Aliman and Leon Kester. 2020. Malicious Design in AIVR, Falsehood and Cybersecurity-oriented Immersive Defenses. In 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). IEEE, 130–137.
    [3]
    Ali Alkhatib. 2021. To live in their utopia: Why algorithmic systems create absurd outcomes. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–9.
    [4]
    Abdulwahhab O Alshammari and Hyunggu Jung. 2017. Designing community of practice systems: A value sensitive approach. In 2017 International Conference on Informatics, Health & Technology (ICIHT). IEEE, 1–7.
    [5]
    Joseph Babcock and Raghav Bali. 2021. Generative AI with Python and TensorFlow 2: Harness the power of generative models to create images, text, and music. Packt Publishing Ltd.
    [6]
    Lisanne Bainbridge. 1983. Ironies of automation. In Analysis, design and evaluation of man–machine systems. Elsevier, 129–135.
    [7]
    Matthew Barthet, Ahmed Khalifa, Antonios Liapis, and Georgios Yannakakis. 2022. Generative personas that behave and experience like humans. In Proceedings of the 17th International Conference on the Foundations of Digital Games. 1–10.
    [8]
    Eric PS Baumer, Mark Blythe, and Theresa Jean Tanenbaum. 2020. Evaluating design fiction: The right tool for the job. In Proceedings of the 2020 ACM Designing Interactive Systems Conference. 1901–1913.
    [9]
    Eric PS Baumer, Jenna Burrell, Morgan G Ames, Jed R Brubaker, and Paul Dourish. 2015. On the importance and implications of studying technology non-use. interactions 22, 2 (2015), 52–56.
    [10]
    Eric PS Baumer and M Six Silberman. 2011. When the implication is not to design (technology). In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2271–2274.
    [11]
    France Belanger, Mary B Burns, and Richard P Will. 1995. Transference of power: Shifting expertise to expert system developers. In Proceedings the 11th Conference on Artificial Intelligence for Applications. IEEE, 65–71.
    [12]
    Ruha Benjamin. 2016. Informed refusal: Toward a justice-based bioethics. Science, Technology, & Human Values 41, 6 (2016), 967–990.
    [13]
    Tiziano Bonini, Emiliano Trere, Zizheng Yu, Swati Singh, Daniele Cargnelutti, and Francisco Javier López-Ferrández. 2023. Cooperative affordances: how instant messaging apps afford. Convergence (2023).
    [14]
    Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77–101.
    [15]
    Virginia Braun and Victoria Clarke. 2022. Common challenges in Thematic Analysis and how to avoid them. https://youtu.be/tpWLsckpM78
    [16]
    Edvard PG Bruun and Alban Duka. 2018. Artificial intelligence, jobs and the future of work: Racing with the machines. Basic Income Studies 13, 2 (2018), 20180018.
    [17]
    Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carnignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Q. Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Sibigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O’Niell, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioanna Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Rrent Hecht, and Jaime Teevan. 2023. Microsoft New Future of Work Report 2023. https://www.microsoft.com/en-us/research/publication/microsoft-new-future-of-work-report-2023/ Accessed 7 February, 2024.
    [18]
    Alex Calderwood, Vivian Qiu, Katy Ilonka Gero, and Lydia B. Chilton. 2020. How Novelists Use Generative Language Models: An Exploratory Study. In Proceedings of HAI-GEN 2020 Workshop on Human-AI Co-Creation with Generative Models.
    [19]
    Thomas Calvard. 2019. Integrating social scientific perspectives on the quantified employee self. Social Sciences 8, 9 (2019), 262.
    [20]
    Zachary Catanzaro. 2023. Beyond Incentives: Copyright in the Age of Algorithmic Production. NYU Journal of Intellectual Property & Entertainment Law, Forthcoming (2023).
    [21]
    Liu Chang-de. 2006. De-skilling effects on journalists: ICTs and the labour process of Taiwanese newspaper reporters. Canadian Journal of Communication 31, 3 (2006), 695.
    [22]
    Hongming Chen and Ola Engkvist. 2019. Has Drug Design Augmented by Artificial Intelligence Become a Reality?Trends in pharmacological sciences 40, 11 (Nov. 2019), 806–809. http://dx.doi.org/10.1016/j.tips.2019.09.004
    [23]
    EunJeong Cheon and Norman Makoto Su. 2018. Futuristic autobiographies: Weaving participant narratives to elicit values around robots. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. 388–397.
    [24]
    Kimberly Christen. 2012. Does information really want to be free? Indigenous knowledge systems and the question of openness. International Journal of Communication 6 (2012).
    [25]
    Marika Cifor, Patricia Garcia, T.L. Cowan, Jasmine Rault, Tonia Sutherland, "Anita Say" Chan, Jennifer Rode, "Anna Lauren" Hoffman, Niloufar Salehi, and Lisa Nakamura. 2019. Feminist data manifest-no. Retrieved 2023-02-09 from https://www.manifestno.com/
    [26]
    Victoria Clarke and Virginia Braun. 2018. Using thematic analysis in counselling and psychotherapy research: A critical reflection. Counselling and psychotherapy research 18, 2 (2018), 107–110.
    [27]
    Jay L Cunningham, Gabrielle Benabdallah, Daniela K Rosner, and Alex S Taylor. 2022. On the Grounds of Solutionism: Ontologies of Blackness and HCI. ACM Transactions on Computer-Human Interaction (2022).
    [28]
    Alexei Czeskis, Ivayla Dermendjieva, Hussein Yapit, Alan Borning, Batya Friedman, Brian Gill, and Tadayoshi Kohno. 2010. Parenting from the pocket: Value tensions and technical directions for secure and private parent-teen mobile safety. In Proceedings of the sixth symposium on usable privacy and security. 1–15.
    [29]
    P. Das, T. Sercu, K. Wadhawan, I. Padhi, S. Gehrmann, F. Cipcigan, V. Chenthamarakshan, H. Strobelt, C. dos Santos, P. Chen, Y. Yang, J. Tan, J. Hedrick, J. Crain, and A. Mojsilovic. 2020. Accelerated Antimicrobial Discovery Using Controllable Deep Generative Model and Molecular Dynamics. Submitted to Nature, under review. (2020).
    [30]
    Jeffrey Dastin and Munsif Vengattil. 2020. Microsoft bans face-recognition sales to police as Big Tech reacts to protests. Retrieved 2023-02-09 from https://www.reuters.com/article/us-microsoft-facial-recognition-idUSKBN23I2T6
    [31]
    Catherine D’Ignazio, Erhardt Graeff, Christina N Harrington, and Daniela K Rosner. 2020. Toward equitable participatory design: Data feminism for CSCW amidst multiple pandemics. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing. 437–445.
    [32]
    Pelle Ehn and Morten Kyng. 1987. The collective resource approach to systems design. Computers and democracy 17 (1987), 57.
    [33]
    Bob Ellis and Rodney Fopp. 2001. The origins of standpoint epistemologies: Feminism, Marx and Lukacs. In Australian Sociological Association Conference, Sydney. Citeseer.
    [34]
    Rosanna Fanni, Valerie Eveline Steinkogler, Giulia Zampedri, and Jo Pierson. 2020. Active Human Agency in Artificial Intelligence Mediation. In Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good. 84–89.
    [35]
    J Ferguson and D Witzburg. 2021. The Chicago Police Department’s Use of Shotspotter Technology. Chicago, IL: City of Chicago Office of Inspector General (2021).
    [36]
    David Foster. 2019. Generative Deep Learning. Vol. 14. O’Reilly Media Inc., CA.
    [37]
    Batya Friedman, Maaike Harbers, David G Hendry, Jeroen van den Hoven, Catholijn Jonker, and Nick Logler. 2021. Eight grand challenges for value sensitive design from the 2016 Lorentz workshop. Ethics and Information Technology 23, 1 (2021), 5–16.
    [38]
    Batya Friedman and David G Hendry. 2019. Value sensitive design: Shaping technology with moral imagination. Mit Press.
    [39]
    Anne Galloway and Catherine Caudwell. 2018. Speculative design as research method: From answers to questions and “staying with the trouble”. In Undesign. Routledge, 85–96.
    [40]
    Maya Indira Ganesh and Emanuel Moss. 2022. Resistance and refusal to algorithmic harms: Varieties of ‘knowledge projects’. Media International Australia 183, 1 (2022), 90–106.
    [41]
    Patricia Garcia, Tonia Sutherland, Marika Cifor, Anita Say Chan, Lauren Klein, Catherine D’Ignazio, and Niloufar Salehi. 2020. No: critical refusal as feminist data practice. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing. 199–202.
    [42]
    Patricia Garcia, Tonia Sutherland, Niloufar Salehi, Marika Cifor, and Anubha Singh. 2022. No! Re-imagining Data Practices Through the Lens of Critical Refusal. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (2022), 1–20.
    [43]
    Katy Ilonka Gero, Chris Kedzie, and Lydia B. Chilton. 2020. Demo: Literary Style Transfer with Content Preservation. In Proceedings of HAI-GEN 2020 Workshop on Human-AI Co-Creation with Generative Models.
    [44]
    Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, and Mark Crowley. 2021. Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. arXiv preprint arXiv:2111.13282 (2021).
    [45]
    Jon Gillick and David Bamman. 2021. What to Play and How to Play it: Guiding Generative Music Models with Multiple Demonstrations. In NIME 2021. PubPub.
    [46]
    Sharon Goldman. 2023. How generative AI will help power your presentation in 2023. Retrieved 2023-02-09 from https://venturebeat.com/ai/how-generative-ai-will-help-power-your-presentation-in-2023/
    [47]
    Cindy Gordon. 2022. Generative AI Will Continue To Accelerate In 2023: Are You Ready?Retrieved 2023-02-09 from https://www.forbes.com/sites/cindygordon/2022/12/29/generative-ai-will-continue-to-accelerate-in-2023-are-you-ready/?sh=19c597a1650c
    [48]
    Antonietta Grasso, Frederic Roulland, Dave Snowdon, Martin Muehlenbrock, Maurizio Mesenzani, and Roberta Morici. 2002. Supporting Informal Communication across Local and Distributed Communities. In CSCW 2002 Workshop: Public, Community and Situated Displays.
    [49]
    Wayne D Gray, Bonnie E John, and Michael E Atwood. 1992. The precis of Project Ernestine or an overview of a validation of GOMS. In Proceedings of the SIGCHI conference on Human factors in computing systems. 307–312.
    [50]
    Wayne D Gray, Bonnie E John, Rory Stuart, Deborah Lawrence, and Michael E Atwood. 1995. GOMS meets the phone company: Analytic modeling applied to real-world problems. In Readings in Human–Computer Interaction. Elsevier, 634–639.
    [51]
    Ross Gruetzemacher, David Paradice, and Kang Bok Lee. 2020. Forecasting extreme labor displacement: A survey of AI practitioners. Technological Forecasting and Social Change 161 (2020), 120323.
    [52]
    Donna Haraway. 2013. Simians, cyborgs, and women: The reinvention of nature. Routledge.
    [53]
    Maaike Harbers and Mark A Neerincx. 2014. Value sensitive design of automated workload distribution support for traffic control teams. In International Conference on Engineering Psychology and Cognitive Ergonomics. Springer, 12–21.
    [54]
    Sandra Harding. 2013. Rethinking standpoint epistemology: What is “strong objectivity”? In Feminist epistemologies. Routledge, 49–82.
    [55]
    Sandra G Harding. 1986. The science question in feminism. Cornell University Press.
    [56]
    Sandra G Harding. 2004. The feminist standpoint theory reader: Intellectual and political controversies. Psychology Press.
    [57]
    Nancy Hartsock. 1983. The Feminist Standpoint: Developing the Ground for a Specifically Feminist Historical Materialism. (1983).
    [58]
    Mark Hendrikx, Sebastiaan Meijer, Joeri Van Der Velden, and Alexandru Iosup. 2013. Procedural content generation for games: A survey. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 9, 1 (2013), 1–22.
    [59]
    Anna Lauren Hoffmann. 2021. Even when you are a solution you are a problem: An uncomfortable reflection on feminist data ethics. Global Perspectives 2, 1 (2021).
    [60]
    Stephanie Houde, Vera Liao, Jacquelyn Martino, Michael Muller, David Piorkowski, John Richards, Justin Weisz, and Yunfeng Zhang. 2020. Business (mis) Use Cases of Generative AI. arXiv preprint arXiv:2003.07679 (2020).
    [61]
    Anil Jain, Lin Hong, and Sharath Pankanti. 2000. Biometric identification. Commun. ACM 43, 2 (2000), 90–98.
    [62]
    Mohammad Hossein Jarrahi. 2019. In the age of the smart artificial intelligence: AI’s dual capacities for automating and informating work. Business Information Review 36, 4 (2019), 178–187.
    [63]
    Thessa Jensen and Peter Vistisen. 2017. Ethical Design Fiction: Between storytelling and world building. The ORBIT Journal 1, 2 (2017), 1–14.
    [64]
    Arif Jetha, Ali Shamaee, Silvia Bonaccio, Monique AM Gignac, Lori B Tucker, Emile Tompa, Ute Bültmann, Cameron D Norman, Cristina G Banks, and Peter M Smith. 2021. Fragmentation in the future of work: A horizon scan examining the impact of the changing nature of work on workers experiencing vulnerability. American journal of industrial medicine 64, 8 (2021), 649–666.
    [65]
    Ellen Jiang, Edwin Toh, Alejandra Molina, Kristen Olson, Claire Kayacik, Aaron Donsbach, Carrie J Cai, and Michael Terry. 2022. Discovering the Syntax and Strategies of Natural Language Programming with Generative Language Models. In CHI Conference on Human Factors in Computing Systems. 1–19.
    [66]
    Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, and Xiang Ren. 2021. Learn continually, generalize rapidly: Lifelong knowledge accumulation for few-shot learning. arXiv preprint arXiv:2104.08808 (2021).
    [67]
    Elizabeth E Joh. 2017. The undue influence of surveillance technology companies in policing. NYUL Rev. Online 92 (2017), 19.
    [68]
    Martin Jonsson and Jakob Tholander. 2022. Cracking the code: Co-coding with AI in creative programming education. In Creativity and Cognition. 5–14.
    [69]
    Weijie Kang, Jiyang Xiao, and Junjie Xue. 2023. Generative knowledge-based transfer learning for few-shot health condition estimation. Complex & Intelligent Systems 9, 1 (2023), 965–979.
    [70]
    Sayash Kapoor, Matthew Sun, Mona Wang, Klaudia Jazwinska, and Elizabeth Anne Watkins. 2022. Weaving Privacy and Power: On the Privacy Practices of Labor Organizers in the US Technology Industry. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (2022), 1–33.
    [71]
    Pegah Karimi, Jeba Rezwana, Mary Lou Maher, and Nasrin Dehbozorgi. 2020. Creative Sketching Partner: An Analysis of Human-AI Co-Creativity. In Proceedings of IUI 2020.
    [72]
    Vera Khovanskaya, Lynn Dombrowski, Jeffrey Rzeszotarski, and Phoebe Sengers. 2019. The Tools of Management: Adapting Historical Union Tactics to Platform-Mediated Labor. Proceedings of the ACM on Human-Computer Interaction 3, CSCW (2019), 1–22.
    [73]
    Eva Knutz and Thomas Markussen. 2014. The role of fiction in experiments within design, art & architecture-towards a new typology of design fiction. Artifact: Journal of Design Practice 3, 2 (2014), 8–1.
    [74]
    Lu Kong and Jihua Li. 2022. Analysis of Production Line Project Based on Value Sensitive Design. International Journal of Technoethics (IJT) 13, 1 (2022), 1–11.
    [75]
    Alina Krischkowsky, Verena Fuchsberger, and Manfred Tscheligi. 2021. Making un-use: When humans disengage with technology. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–10.
    [76]
    Min Kyung Lee. 2018. Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management. Big Data & Society 5, 1 (2018), 2053951718756684.
    [77]
    Min Kyung Lee, Daniel Kusbit, Evan Metsky, and Laura Dabbish. 2015. Working with machines: The impact of algorithmic and data-driven management on human workers. In Proceedings of the 33rd annual ACM conference on human factors in computing systems. 1603–1612.
    [78]
    Amanda Lenhart and John B Horrigan. 2003. Re-visualizing the digital divide as a digital spectrum. IT & society 1, 5 (2003), 23–39.
    [79]
    Hanlin Li, Nicholas Vincent, Janice Tsai, Jofish Kaye, and Brent Hecht. 2019. How do people change their technology use in protest? understanding. Proceedings of the ACM on Human-Computer Interaction 3, CSCW (2019), 1–22.
    [80]
    Cindy Lin and Silvia Margot Lindtner. 2021. Techniques of Use: Confronting value systems of productivity, progress, and usefulness in computing and design. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–16.
    [81]
    Ida Lindgren. 2023. Ironies of Public Service Automation–Bainbridge Revisited. In Proceedings of the 24th Annual International Conference on Digital Government Research. 395–404.
    [82]
    Yifan Liu, Zengchang Qin, Zhenbo Luo, and Hua Wang. 2017. Auto-painter: Cartoon image generation from sketch by using conditional generative adversarial networks. arXiv preprint arXiv:1705.01908 (2017).
    [83]
    Courtney Loder. 2014. Negotiating space between use and non-use. In ACM CHI. A CHI 2014 Workshop Considering Why We Should Study Technology Non-use.
    [84]
    Ryan Louie, Andy Cohen, Cheng-Zhi Anna Huang, Michael Terry, and Carrie J Cai. 2020. Cococo: AI-Steering Tools for Music Novices Co-Creating with Generative Models. In HAI-GEN+ user2agent@ IUI.
    [85]
    Ryan Louie, Jesse Engel, and Anna Huang. 2021. Expressive Communication: A Common Framework for Evaluating Developments in Generative Models and Steering Interfaces. arXiv preprint arXiv:2111.14951 (2021).
    [86]
    Thomas Markussen and Eva Knutz. 2013. The poetics of design fiction. In Proceedings of the 6th International Conference on Designing Pleasurable Products and Interfaces. 231–240.
    [87]
    Wayne Martino and Kenan Omercajic. 2021. A trans pedagogy of refusal: Interrogating cisgenderism, the limits of antinormativity and trans necropolitics. Pedagogy, Culture & Society 29, 5 (2021), 679–694.
    [88]
    Karl Marx. 1932. Economic and philosophic manuscripts of 1844. Institute of Marxism-Leninism in the Union of Soviet Socialist Republics.
    [89]
    Joshua Meyers, Benedek Fabian, and Nathan Brown. 2021. De novo molecular design and generative models. Drug Discovery Today 26, 11 (2021), 2707–2715.
    [90]
    Midjourney. 2022. Midjourney. Retrieved 07-September-2022 from https://www.midjourney.com/home/
    [91]
    Jessica K Miller, Batya Friedman, Gavin Jancke, and Brian Gill. 2007. 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.
    [92]
    Allison Morrow. 2023. Welcome to the ‘generative AI’ era. Resistance is futile. Retrieved 2023-02-09 from https://www.cnn.com/2023/02/08/business/nightcap-chatgpt-microsoft-google/index.html
    [93]
    Florian Floyd Mueller, Pedro Lopes, Paul Strohmeier, Wendy Ju, Caitlyn Seim, Martin Weigel, Suranga Nanayakkara, Marianna Obrist, Zhuying Li, Joseph Delfa, 2020. Next steps for human-computer integration. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–15.
    [94]
    Michael Muller, Jeffrey Bardzell, EunJeong Cheon, Norman Makoto Su, Eric PS Baumer, Casey Fiesler, Ann Light, and Mark Blythe. 2020. Understanding the Past, Present, and Future of Design Fictions. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. 1–8.
    [95]
    Michael Muller and Q Vera Liao. 2017. Exploring AI Ethics and Values through Participatory Design Fictions. Human Computer Interaction Consortium (2017).
    [96]
    Michael Muller and Angelika Strohmayer. 2022. Forgetting Practices in the Data Sciences. In CHI Conference on Human Factors in Computing Systems. 1–19.
    [97]
    Michael Muller and Justin Weisz. 2022. Extending a Human-AI Collaboration Framework with Dynamism and Sociality. In 2022 Symposium on Human-Computer Interaction for Work. 1–12.
    [98]
    Kiyoshi Murata, Andrew A Adams, Yasunori Fukuta, Yohko Orito, Mario Arias-Oliva, and Jorge Pelegrin-Borondo. 2017. From a science fiction to reality: Cyborg ethics in Japan. Acm Sigcas Computers and Society 47, 3 (2017), 72–85.
    [99]
    Lisa P Nathan, Batya Friedman, Predrag Klasnja, Shaun K Kane, and Jessica K Miller. 2008. Envisioning systemic effects on persons and society throughout interactive system design. In Proceedings of the 7th ACM conference on Designing interactive systems. 1–10.
    [100]
    Lisa P Nathan, Predrag V Klasnja, and Batya Friedman. 2007. Value scenarios: a technique for envisioning systemic effects of new technologies. In CHI’07 extended abstracts on Human factors in computing systems. 2585–2590.
    [101]
    Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z Qureshi, and Mehran Ebrahimi. 2019. Edgeconnect: Generative image inpainting with adversarial edge learning. arXiv preprint arXiv:1901.00212 (2019).
    [102]
    Pinchuan Ong and Ivan PL Png. 2021. Automation, Deskilling, and Labor Supply: Empirical Evidence. Available at SSRN 3452464 (2021).
    [103]
    Stephanie Overby. 2022. "Artificial Intelligence (AI): 7 trends to watch for in 2022". "https://enterprisersproject.com/article/2022/1/artificial-intelligence-ai-7-trends-watch-2022" Accessed February 4 2022.
    [104]
    James Pierce. 2012. Undesigning technology: considering the negation of design by design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 957–966.
    [105]
    Ethan Plaut. 2022. Strategic illiteracies: the long game of technology refusal and disconnection. Communication Theory (2022).
    [106]
    Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021. Zero-shot text-to-image generation. In International Conference on Machine Learning. PMLR, 8821–8831.
    [107]
    Melanie R Rieback, Bruno Crispo, and Andrew S Tanenbaum. 2006. The evolution of RFID security. IEEE Pervasive Computing 5, 01 (2006), 62–69.
    [108]
    Tapani Rinta-Kahila, Esko Penttinen, Antti Salovaara, and Wael Soliman. 2018. Consequences of discontinuing knowledge work automation-surfacing of deskilling effects and methods of recovery. (2018).
    [109]
    Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022. High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 10684–10695.
    [110]
    Steven I Ross, Fernando Martinez, Stephanie Houde, Michael Muller, and Justin D Weisz. 2023. The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software Development. In 28th International Conference on Intelligent User Interfaces.
    [111]
    Lawrence E Rothstein. 1999. Privacy or dignity: Electronic monitoring in the workplace. NYL Sch. J. Int’l & Comp. L. 19 (1999), 379.
    [112]
    Samar Sabie, Katherine W Song, Tapan Parikh, Steven Jackson, Eric Paulos, Kristina Lindstrom, Åsa Ståhl, Dina Sabie, Kristina Andersen, and Ron Wakkary. 2022. Unmaking@ CHI: Concretizing the Material and Epistemological Practices of Unmaking in HCI. In CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–6.
    [113]
    Nithya Sambasivan and Rajesh Veeraraghavan. 2022. The Deskilling of Domain Expertise in AI Development. In CHI Conference on Human Factors in Computing Systems. 1–14.
    [114]
    Erik Sandelin and Sarah Homewood. 2020. Design (in) actions. In Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society. 1–9.
    [115]
    Christine Satchell and Paul Dourish. 2009. Beyond the user: use and non-use in HCI. In Proceedings of the 21st annual conference of the Australian computer-human interaction special interest group: Design: Open 24/7. 9–16.
    [116]
    Daniele Schilirò. 2023. Technological progress and the future of work. https://mpra.ub.uni-muenchen.de/117927/. (2023).
    [117]
    Peter Senker, Joe Townsend, and Joanna Buckingham. 1989. Working with expert systems: Three case studies. AI & society 3 (1989), 103–116.
    [118]
    JA Shelton. 1989. The individual ‘working-to-rules’: reducing determinism in Taylor-made expert systems. Interacting with Computers 1, 3 (1989), 338–342.
    [119]
    Saori Shibata. 2023. 30. Deskilling and diminishing workers’ autonomy in the digital workplace. Handbook of Research on the Global Political Economy of Work (2023), 371.
    [120]
    Jesper Simonsen and Toni Robertson. 2013. Routledge international handbook of participatory design. Vol. 711. Routledge New York.
    [121]
    Michael Skirpan and Casey Fiesler. 2018. Ad empathy: A design fiction. In Proceedings of the 2018 ACM Conference on Supporting Groupwork. 267–273.
    [122]
    Leonard Sloane. 1992. Orwellian dream come true: A badge that pinpoints you. New York Times (1992), 14.
    [123]
    Jason Smith. 2022. Human-AI Partnerships in Generative Music. In International Conference on New Interfaces for Musical Expression. PubPub.
    [124]
    Linda Tuhiwai Smith. 2021. Decolonizing methodologies: Research and indigenous peoples. Bloomsbury Publishing.
    [125]
    Jan Smits and Tijn Borghuis. 2022. Generative AI and Intellectual Property Rights. In Law and Artificial Intelligence: Regulating AI and Applying AI in Legal Practice. Springer, 323–344.
    [126]
    Merlijn Smits, Chan Mi Kim, Harry van Goor, and Geke DS Ludden. 2022. From digital health to digital well-being: Systematic scoping review. Journal of medical internet research 24, 4 (2022), e33787.
    [127]
    Robert Soden, Michael Skirpan, Casey Fiesler, Zahra Ashktorab, Eric PS Baumer, Mark Blythe, and Jasmine Jones. 2019. Chi4evil: Creative speculation on the negative impacts of hci research. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. 1–8.
    [128]
    Marie Louise Juul Søndergaard. 2020. Troubling Design: A Design Program for Designing with Women’s Health. ACM Transactions on Computer-Human Interaction (TOCHI) 27, 4 (2020), 1–36.
    [129]
    Marie Louise Juul Søndergaard and Lone Koefoed Hansen. 2016. PeriodShare: A bloody design fiction. In Proceedings of the 9th Nordic Conference on Human-Computer Interaction. 1–6.
    [130]
    Marie Louise Juul Søndergaard and Lone Koefoed Hansen. 2018. Intimate futures: Staying with the trouble of digital personal assistants through design fiction. In Proceedings of the 2018 Designing Interactive Systems Conference. 869–880.
    [131]
    Edward A Stohr and J Leon Zhao. 2001. Workflow automation: Overview and research issues. Information Systems Frontiers 3 (2001), 281–296.
    [132]
    Taylor Stone. 2022. The streetlights are watching you: A historical perspective on value change and public lighting. Prometheus (2022).
    [133]
    Miriam Sturdee and Joseph Lindley. 2019. Sketching & drawing as future inquiry in HCI. In Proceedings of the Halfway to the Future Symposium 2019. 1–10.
    [134]
    Lucy Suchman. 2002. Located accountabilities in technology production. Scandinavian journal of information systems 14, 2 (2002), 7.
    [135]
    Sangho Suh and Pengcheng An. 2022. Leveraging Generative Conversational AI to Develop a Creative Learning Environment for Computational Thinking. In 27th International Conference on Intelligent User Interfaces. 73–76.
    [136]
    Frederick Winslow Taylor 1947. Scientific Management, comprising shop management. (1947).
    [137]
    Gareth Terry, Nikki Hayfield, Victoria Clarke, and Virginia Braun. 2017. Thematic analysis. The SAGE handbook of qualitative research in psychology 2 (2017), 17–37.
    [138]
    Jim Thatcher, David O’Sullivan, and Dillon Mahmoudi. 2016. Data colonialism through accumulation by dispossession: New metaphors for daily data. Environment and Planning D: Society and Space 34, 6 (2016), 990–1006.
    [139]
    Andrea K Thomer and Karen M Wickett. 2020. Relational data paradigms: What do we learn by taking the materiality of databases seriously?Big Data & Society 7, 1 (2020), 2053951720934838.
    [140]
    Cameron Tonkinwise. 2014. Design away. In Design as Future-Making, Barbara Adams and Susan Yelavich (eds.). Bloomsbury Academic, London and New York. 198–213.
    [141]
    Eve Tuck and K Wayne Yang. 2014. Unbecoming claims: Pedagogies of refusal in qualitative research. Qualitative Inquiry 20, 6 (2014), 811–818.
    [142]
    João Viera Magalhães and Nick Couldry. 2021. Giving by taking away: big tech, data colonialism and the reconfiguration of social good. International Journal of Communication 15 (2021), 343–362.
    [143]
    April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael Muller, Soya Park, Justin D Weisz, Xuye Liu, Lingfei Wu, and Casey Dugan. 2021. Themisto: Towards Automated Documentation Generation in Computational Notebooks. arXiv preprint arXiv:2102.12592 (2021).
    [144]
    Nadine-Christine Wessel. 2023. Decision-Support Systems and Decision Making: Managing Decisional Deskilling in Human-DSS Interactions in Organizations. In ICDS 2023 : The Seventeenth International Conference on Digital Society.
    [145]
    Mikael Wiberg. 2001. Knowledge management in mobile CSCW: evaluation results of a mobile physical/virtual meeting support system. In Proceedings of the 34th Annual Hawaii International Conference on System Sciences. IEEE, 10–pp.
    [146]
    Chenxi Yuan and Mohsen Moghaddam. 2020. Garment design with generative adversarial networks. arXiv preprint arXiv:2007.10947 (2020).
    [147]
    Elaine Zibrowski, Lisa Shepherd, Kamran Sedig, Richard Booth, Candace Gibson, 2018. Easier and faster is not always better: grounded theory of the impact of large-scale system transformation on the clinical work of emergency medicine nurses and physicians. JMIR Human Factors 5, 4 (2018), e11013.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    CHIWORK '24: Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work
    June 2024
    297 pages
    This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 June 2024

    Check for updates

    Author Tags

    1. Design fiction
    2. Displacement
    3. Future of work
    4. Generative AI
    5. Labor
    6. Value sensitive design (VSD)
    7. Workplace

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    CHIWORK 2024
    CHIWORK 2024: Annual Symposium on Human-Computer Interaction for Work
    June 25 - 27, 2024
    Newcastle upon Tyne, United Kingdom

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 104
      Total Downloads
    • Downloads (Last 12 months)104
    • Downloads (Last 6 weeks)104
    Reflects downloads up to 26 Jul 2024

    Other Metrics

    Citations

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Get Access

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media