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The Unknowability of Autonomous Tools and the Liminal Experience of Their Use

Published: 01 December 2021 Publication History

Abstract

Recently companies are increasingly adopting intelligent technologies, such as autonomous tools and artificial intelligence, to assist complex knowledge works that are traditionally carried out by human experts. These tools can independently learn and execute novel actions. The input–output relationships of these tools, however, are unknowable to human experts. This calls for analysis of how humans may work differently while interacting with such tools. To this end, we conduct a comparative case study at one of the world’s largest semiconductor manufacturers. We investigate how chip designers interact with two families of design technologies: one following a traditional designer-centric approach in which the designer knows what outputs particular inputs to the tools will generate, and another relying on autonomous tools that continually surprise the user. Our inquiry reveals that, when using autonomous tools, designers can hardly understand the design generated by the tools and become more like laboratory experimentalists in that their primary job is experimenting with different inputs and assessing the quality of the finished design. Their interactions with the tools are marked by ambiguity, and the design is moved forward along multiple design trajectories in accordance with a multifarious temporality.

Abstract

In the extant theoretical discourse on sociotechnical systems, the relationships between inputs and outputs of technologies are assumed to be knowable to human agents, occasionally ex ante and always ex post. Recently, a new breed of autonomous tools has emerged, which can independently learn and execute novel actions. The input–output relationships of these tools, however, are unknowable to human agents both ex ante and ex post. This calls for analysis of how humans experience the enactment of socio-material agency while interacting with autonomous tools. To this end, we conduct an exploratory, theory-building, comparative case study at one of the world’s largest semiconductor manufacturers. We investigate how chip designers interact with two families of design technologies: one following a traditional designer-centric approach in which the designer knows what outputs particular inputs to the tools will generate and another relying on autonomous tools that continually surprise the user. Our inquiry reveals significant differences in designers’ experiences of using different tools. When using autonomous tools, designers’ experience of enacting socio-material agency becomes liminal, a state of continuous emergence, in which interactions with the tools are marked by ambiguity, and the design is moved forward along multiple design trajectories in accordance with a multifarious temporality. These insights require us to expand upon several dominant views on the enactment of socio-material agency and necessitate novel thinking on the role and impact of autonomous tools in future work systems as well as on how design and innovation proceeds under such conditions.

References

[1]
Archer MS, Bhaskar R, Collier A, Lawson T, Norrie A (1998) Critical Realism: Essential Readings (Psychology Press, London).
[2]
Banerjee D, Cronan TP, Jones TW (1998) Modeling IT ethics: A study in situational ethics. MIS Quart. 22(1):31–60.
[3]
Barad K (2003) Posthumanist performativity: Toward an understanding of how matter comes to matter. Signs 28(3):801–831.
[4]
Beane M, Orlikowski WJ (2015) What difference does a robot make? The material enactment of distributed coordination. Organ. Sci. 26(6):1553–1573.
[5]
Berente N, Yoo Y (2012) Institutional contradictions and loose coupling: Postimplementation of NASA’s enterprise information system. Inform. Systems Res. 23(2):376–396.
[6]
Bijker WE, Hughes TP, Pinch TJ (1987) The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology (MIT Press, Cambridge, MA).
[7]
Boehm BW (1988) A spiral model of software development and enhancement. Comput. 21(5):61–72.
[8]
Boland RJ, Tenkasi RV, Te’eni D (1994) Designing information technology to support distributed cognition. Organ. Sci. 5(3):456–475.
[9]
Bourdieu P (1998) Practical Reason: On the Theory of Action (Stanford University Press, Stanford, CA).
[10]
Brown C, Linden G (2009) Chips and Change: How Crisis Reshapes the Semiconductor Industry (MIT Press, Cambridge, MA).
[11]
Burrell J (2016) How the machine “thinks”: Understanding opacity in machine learning algorithms. Big Data Soc. 3(1):1–12.
[12]
Callon M, Muniesa FJOs (2005) Peripheral vision: Economic markets as calculative collective devices. Organ. Stud. 26(8):1229–1250.
[13]
Corbin JM, Strauss A (1990) Grounded theory research: Procedures, canons, and evaluative criteria. Qual. Sociol. 13(1):3–21.
[14]
David PA (1994) Why are institutions the “carriers of history”? Path dependence and the evolution of conventions, organizations and institutions. Structural Change Econom. Dynamics 5(2):205–220.
[15]
David PA (2001) Path dependence, its critics and the quest for “historical economics.” Garrouste P, Ioannides S, eds. Evolution and Path Dependence in Economic Ideas: Past and Present (Edward Elgar, Cheltenham, UK), 15–40.
[16]
DeLanda M (2013) Intensive Science and Virtual Philosophy (Bloomsbury Publishing, London, UK).
[17]
DeLanda M (2016) Assemblage Theory (Edinburgh University Press, Edinburgh, UK).
[18]
Dodgson M, Gann DM, Salter A (2007) “In case of fire, please use the elevator”: Simulation technology and organization in fire engineering. Organ. Sci. 18(5):849–864.
[19]
Eisenberg EM (1990) Jamming: Transcendence through organizing. Comm. Res. 17(2):139–164.
[20]
Emirbayer M, Mische A (1998) What is agency? Amer. J. Sociol. 103(4):962–1023.
[21]
Faraj S, Kwon D, Watts S (2004) Contested artifact: Technology sensemaking, actor networks, and the shaping of the web browser. Inform. Tech. People 17(2):186–209
[22]
Faraj S, Pachidi S, Sayegh K (2018) Working and organizing in the age of the learning algorithm. Inform. Organ. 28(1):62–70.
[23]
Fayard A-L, Weeks J (2007) Photocopiers and water-coolers: The affordances of informal interaction. Organ. Stud. 28(5):605–634.
[24]
Garsten C (1999) Betwixt and between: Temporary employees as liminal subjects in flexible organizations. Organ. Stud. 20(4):601–617.
[25]
Gaskin JE, Berente N, Lyytinen K, Yoo Y (2014) Toward generalizable sociomaterial inquiry: A computational approach for zooming in and out of sociomaterial routines. MIS Quart. (38)(3):849–871.
[26]
Gibson JJ (1977) The theory of affordances. Shaw R, Bransford J, eds. Perceiving, Acting, and Knowing: Toward an Ecological Psychology. (John Wiley & Sons, Inc., Hoboken, NJ), 67–82.
[27]
Gibson JJ (1979) The Ecological Approach to Visual Perception (Psychology Press).
[28]
Giddens A (1984) The Constitution of Society: Outline of the Theory of Structuration (University of California Press, Berkeley).
[29]
Gregor S, Jones D (2007) The anatomy of a design theory. J. Assoc. Inform. Systems 8(5):19.
[30]
Hagras H (2018) Toward human-understandable, explainable AI. Comput. 51(9):28–36.
[31]
Hanseth O, Monteiro E (1997) Inscribing behaviour in information infrastructure standards. Accounting Management Inform. Tech. 7(4):183–211.
[32]
Heidegger M (1962) Being and Time (Harper & Row, New York).
[33]
Henderson MK (1991) Flexible sketches and inflexible data bases: Visual communication, conscription devices, and boundary objects in design engineering. Sci Tech Human Values 16(4):448–473.
[34]
Henfridsson O, Yoo Y (2014) The liminality of trajectory shifts in institutional entrepreneurship. Organ. Sci. 25(3):932–950.
[35]
High R (2012) The Era of Cognitive Systems: An Inside Look at IBM Watson and How It Works (IBM Corporation, Redbooks).
[36]
Hirschheim R (1985) Information systems epistemology: An historical perspective. Research Methods in Information Systems, 9:13–35.
[37]
Holland JH, Holyoak KJ, Nisbett RE, Thagard PR (1989) Induction: Processes of Inference, Learning, and Discovery (MIT Press, Cambridge, MA).
[38]
Hutchins E (1995) Cognition in the Wild (MIT Press, Cambridge, MA).
[39]
Hutchins E, Klausen T (1996) Distributed cognition in an airline cockpit. Engeström Y, Middleton D, eds. Cognition and Communication at Work (Cambridge University Press, New York), 15–34.
[40]
Introna LD (2011) The enframing of code: Agency, originality and the plagiarist. Theory Culture Soc. 28(6):113–141.
[41]
Jarvenpaa SL, Leidner DE (1999) Communication and trust in global virtual teams. Organ. Sci. 10(6):791–815.
[42]
Jarvenpaa SL, Knoll K, Leidner DE (1998) Is anybody out there? Antecedents of trust in global virtual teams. J. Management Inform. Systems 14(4):29–64.
[43]
Jung Y, Lyytinen K (2014) Towards an ecological account of media choice: A case study on pluralistic reasoning while choosing email. Inform. Systems J. 24(3):271–293.
[44]
Kallinikos J, Aaltonen A, Marton A (2013) The ambivalent ontology of digital artifacts. MIS Quart. 37(2):357–370.
[45]
Kavanagh D, Araujo L (1995) Chronigami: Folding and unfolding time. Accounting Management Inform. Tech. 5(2):103–121.
[46]
Kling R, Scacchi W (1982) The web of computing: Computer technology as social organization. Adv. Comput. 21:1–90.
[47]
Kroll JA (2018) The fallacy of inscrutability. Philos. Trans. Roy. Soc. A 376:1–14.
[48]
Kvale S, Brinkmann S (2009) Interviews: Learning the Craft of Qualitative Research Interviewing (Sage).
[49]
Latour B (1987) Science in Action: How to Follow Scientists and Engineers through Society (Harvard University Press).
[50]
Latour B (2005) Reassembling the Social. Política Soc. 43(3):127–130.
[51]
Latour B (2012) We Have Never Been Modern (Harvard University Press, Cambridge, MA).
[52]
Latour B, Mauguin P, Teil G (1992) A note on socio-technical graphs. Soc Stud Sci. 22(1):33–57.
[53]
Leavitt HJ, March JG, March JG (1962) Applied Organizational Change in Industry: Structural, Technological and Humanistic Approaches (Carnegie Institute of Technology, Graduate School of Industrial Administration, Pittsburgh, PA).
[54]
Lee AS, Baskerville RL (2003) Generalizing generalizability in information systems research. Inform. Systems Res. 14(3):221–243.
[55]
Leonardi PM (2011) When flexible routines meet flexible technologies: Affordance, constraint, and the imbrication of human and material agencies. MIS Quart. 35(1):147–167.
[56]
Leonardi P (2013) Theoretical foundations for the study of sociomateriality. Inform. Organ. 23(2):59–76.
[57]
Levina N, Arriaga M (2014) Distinction and status production on user-generated content platforms: Using Bourdieu’s theory of cultural production to understand social dynamics in online fields. Inform. Systems Res. 25(3):468–488.
[58]
Liebowitz SJ, Margolis SE (1995) Path dependence, lock-in, and history. J. Law Econom. Organ. 11(1):205–226.
[59]
Lindberg A, Berente N, Gaskin J, Lyytinen K (2016) Coordinating interdependencies in online communities: A study of an open source software project. Inform. Systems Res. 27(4):751–772.
[60]
Lyytinen K, Berente N (2017) Iteration in systems analysis and design: Cognitive processes and representational artifacts. Chiang RHL, Siau K, Hardgrave BC, eds. Systems Analysis and Design: Techniques, Methodologies, Approaches, and Architecture, vol. 15, Advances in Management Information System (M.E. Sharpe, Armonk, NY), 118–138.
[61]
Lyytinen K, Nickerson JV, King JL (2020) Metahuman systems = humans + machines that learn. J. Inform. Tech. 1–19.
[62]
Mackenzie A (2006) Cutting Code: Software and Sociality (Peter Lang, New York).
[63]
MacKenzie D (2018) Material signals: A historical sociology of high-frequency trading. Amer. J. Sociol. 123(6):1635–1683.
[64]
MacKenzie D (2019) How algorithms interact: Goffman’s “interaction order” in automated trading. Theory Culture Soc. 36(2):39–59.
[65]
Majchrzak A, Chang T-C, Barfield W, Eberts R, Salvendy G (1987) Human Aspects of Computer-Aided Design (Taylor & Francis/Hemisphere, Bristol, PA).
[66]
Mangalaraj G, Nerur S, Mahapatra R, Price KH (2014) Distributed cognition in software design: An experimental investigation of the role of design patterns and collaboration. MIS Quart. 38(1):249–274.
[67]
Marx K (2007) On violence. Lawrence BB, Karim A, eds. Capital: A Critique of Political Economy (Duke University Press, New York), 63–77.
[68]
Mazmanian M (2012) Avoiding the trap of constant connectivity: When congruent frames allow for heterogeneous practices. Acad. Management J. 56(5):1225–1250.
[69]
McGrath JE, Kelly JR (1986) Time and Human Interaction: Toward a Social Psychology of Time (Guilford Press, New York).
[70]
Morse JM (2007) Sampling in grounded theory. Bryant A, Charmaz K, eds. The Sage Handbook of Grounded Theory (SAGE Publications Ltd., New York), 229–244.
[71]
Müller M (2015) Assemblages and actor‐networks: Rethinking socio‐material power, politics and space. Geography Compass 9(1):27–41.
[72]
Mutch A (2013) Sociomateriality—Taking the wrong turning? Inform. Organ. 23(1):28–40.
[73]
Myers MD (1997) Qualitative research in information systems. MIS Quart. 21:241–242.
[74]
Myers MD, Newman M (2007) The qualitative interview in is research: Examining the craft. Inform. Organ. 17(1):2–26.
[75]
Nan N, Lu Y (2014) Harnessing the power of self-organization in an online community during organizational crisis. MIS Quart. 38(4):1135–1158.
[76]
Norman DA (1990) The Design of Everyday Things (Doubleday, New York).
[77]
Orlikowski WJ (2007) Sociomaterial practices: Exploring technology at work. Organ. Stud. 28(9):1435–1448.
[78]
Orlikowski WJ, Scott SV (2014) What happens when evaluation goes online? Exploring apparatuses of valuation in the travel sector. Organ. Sci. 25(3):868–891.
[79]
Orlikowski W, Scott SV (2015) The algorithm and the crowd: Considering the materiality of service innovation. MIS Quart. 39(1):201–216.
[80]
Paavola S (2005) Peircean abduction: Instinct or inference? Semiotica 153(1/4):131–154.
[81]
Pasquale F (2015) The Black Box Society (Harvard University Press, Cambridge, MA).
[82]
Pickering A (1993) The mangle of practice: Agency and emergence in the sociology of science. Amer. J. Sociol. 99(3):559–589.
[83]
Pinch TJ, Bijker WE (1984) The social construction of facts and artefacts: Or how the sociology of science and the sociology of technology might benefit each other. Soc. Stud. Sci. 14(3):399–441.
[84]
Puranam P, Alexy O, Reitzig M (2014) What’s “new” about new forms of organizing? Acad. Management Rev. 39(2):162–180.
[85]
Reed R, DeFillippi RJ (1990) Causal ambiguity, barriers to imitation, and sustainable competitive advantage. Acad. Management Rev. 15(1):88–102.
[86]
Royce WW (1970) Managing the development of large software systems: Concepts and techniques. Riddle WE, ed. Proc. 9th Internat. Conf. Software Engrg. (IEEE Computer Society Press, Washington, DC), 328–338.
[87]
Sarker S, Chatterjee S, Xiao X, Elbanna A (2019) The sociotechnical axis of cohesion for the IS discipline: Its historical legacy and its continued relevance. MIS Quart. 43(3):695–720.
[88]
Seidel S, Berente N, Lindberg A, Lyytinen K, Nickerson JV (2018a) Autonomous tools and design: A triple-loop approach to human-machine learning. Comm. ACM. 62(1):50–57.
[89]
Seidel S, Berente N, Martinez B, Lindberg A, Lyytinen K, Nickerson JV (2018b) Autonomous tools in system design: Reflective practice in Ubisofts Ghost Recon Wildlands project. Comput. 51(10):16–23.
[90]
Sennett R (2008) The Craftsman (Yale University Press, New Haven, CT).
[91]
Shaft TM, Vessey I (2006) The role of cognitive fit in the relationship between software comprehension and modification. MIS Quart. 30(1):29–55.
[92]
Shen Z, Lyytinen K, Yoo Y (2015) Time and information technology in teams: A review of empirical research and future research directions. Eur. J. Inform. Systems 24(5):492–518.
[93]
Silver D, Huang A, Maddison CJ, Guez A, Sifre L, Van Den Driessche G, Schrittwieser J, et al. (2016) Mastering the game of Go with deep neural networks and tree search. Nature 529(7587):484–489.
[94]
Simon HA (1996) The Sciences of the Artificial (MIT Press, Boston, MA).
[95]
Smith HJ, Hasnas J (1999) Ethics and information systems: The corporate domain. MIS Quart. 23(1):109–127.
[96]
Strauss A, Corbin J (1998) Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory, 2nd ed. (Sage Publications, New York).
[97]
Suchman LA (2006) Human-Machine Reconfigurations, 2nd ed. (Cambridge University Press, New York).
[98]
Thomas DE, Hitchcock CY III, Kowalski TJ, Rajan JV, Walker RA (1983) Automatic data path synthesis. IEEE Comput. 16(12):59–70.
[99]
Tilson D, Lyytinen K, Sørensen C (2010) Research commentary—Digital infrastructures: The missing IS research agenda. Inform. Systems Res. 21(4):748–759.
[100]
Tong C, Sriram D (1992) Artificial Intelligence in Engineering Design: Volume III: Knowledge Acquisition, Commercial Systems, and Integrated Environments (Academic Press, San Diego).
[101]
Trist E (1981) The evolution of socio-technical systems as a conceptual framework and as an action research program. Van de Ven A, Joyce W, eds. Perspectives on Organization Design & Behavior (John Wiley & Sons, New York), 19–75.
[102]
Trist EL, Bamforth KW (1951) Some social and psychological consequences of the longwall method of coal-getting: An examination of the psychological situation and defences of a work group in relation to the social structure and technological content of the work system. Human Relations 4(1):3–38.
[103]
Turkle S (1997) Seeing through computers. Amer. Prospect. 8(31):76–82.
[104]
Turner V (1987) Betwixt and between: The liminal period in rites of passage. Mahdi LC, Foster S, Little M, eds. Betwixt and Between: Patterns of Masculine and Feminine Initiation (Open Court, La Salle IL), 3–19.
[105]
Van Driel H, Dolfsma W (2009) Path dependence, initial conditions, and routines in organizations: The Toyota production system re-examined. J. Organ. Change Management 22(1):49–72.
[106]
Wagner EL, Newell S, Kay W (2012) Enterprise systems projects: The role of liminal space in enterprise systems implementation. J. Inform. Tech. 27(4):259–269.
[107]
Walls JG, Widmeyer GR, El Sawy OA (1992) Building an information system design theory for vigilant EIS. Inform Systems Res. 3(1):36–59.
[108]
Walsham G (1995) Interpretive case studies in IS research: Nature and method. Eur. J. Inform. Systems 4(2):74–81.
[109]
Wang L-T, Chang Y-W, Cheng K-TT (2009) Electronic Design Automation: Synthesis, Verification, and Test (Morgan Kaufmann, Burlington, MA).
[110]
Winograd T, Flores F (1986) Understanding Computers and Cognition: A New Foundation for Design (Ablex Publishing, Norwood, NJ).
[111]
Xiao X, Lindberg A, Hansen S, Lyytinen K (2018) “Computing” requirements for open source software: A distributed cognitive approach. J. Assoc. Inform. Systems 19(12):1217–1252.
[112]
Yin RK (2003) Case Study Research: Design and Methods (Sage, New York).
[113]
Yoo Y (2010) Computing in everyday life: A call for research on experiential computing. MIS Quart. 34(2):213–231.
[114]
Yoo Y, Henfridsson O, Lyytinen K (2010) Research commentary—The new organizing logic of digital innovation: An agenda for information systems research. Inform. Systems Res. 21(4):724–735.
[115]
Yoo Y, Boland RJ Jr, Lyytinen K, Majchrzak A (2012) Organizing for innovation in the digitized world. Organ. Sci. 23(5):1398–1408.
[116]
Zhu J, Liapis A, Risi S, Bidarra R, Youngblood GM (2018) Explainable AI for designers: A human-centered perspective on mixed-initiative co-creation. Browne C, ed. 2018 IEEE Conf. Comput. Intelligence Games (IEEE, New York), 1–8.
[117]
Zittrain JL (2006) The generative internet. Harvard Law Rev. 119:1974–2040.

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    cover image Information Systems Research
    Information Systems Research  Volume 32, Issue 4
    December 2021
    408 pages
    ISSN:1526-5536
    DOI:10.1287/isre.2021.32.issue-4
    Issue’s Table of Contents

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    INFORMS

    Linthicum, MD, United States

    Publication History

    Published: 01 December 2021
    Accepted: 03 December 2020
    Received: 25 October 2017

    Author Tags

    1. autonomous tools
    2. socio-material agency
    3. liminality
    4. design
    5. digital innovation

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    • (2024)Design with the floating signifier: On Future Breakouts and Breakthroughs with Machine IntelligenceProceedings of the Halfway to the Future Symposium10.1145/3686169.3686197(1-5)Online publication date: 21-Oct-2024

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