Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society

Published Online:https://doi.org/10.1287/isre.2021.1046

References

  • Acemoglu D, Restrepo P (2019) Automation and new tasks: How technology displaces and reinstates labor. J. Econom. Perspect. 33(2):3–30.CrossrefGoogle Scholar
  • Adam M, Wessel M, Benlian A (2020) AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, ePub ahead of print March 17, DOI: https://doi.org/10.1007/s12525-020-00414-7.Google Scholar
  • Ariely D, Bracha A, Meier S (2009) Doing good or doing well? Image motivation and monetary incentives in behaving prosocially. Amer. Econom. Rev. 99(1):544–555.CrossrefGoogle Scholar
  • Atasoy H, Banker R, Pavlou PA (2016) On the longitudinal effects of IT use on firm-level employment. Inform. Systems Res. 27(1):6–26.LinkGoogle Scholar
  • Atasoy H, Banker R, Pavlou PA (2021) Information technology skills and labor market outcomes for workers. Inform. Systems Res. 32(2):437–461.LinkGoogle Scholar
  • Autor H, Dorn D (2013) The growth of low-skill service jobs and the polarization of the US labor market. Amer. Econom. Rev. 103(5):1553–1597.CrossrefGoogle Scholar
  • Benaroch M (2018) Real options models for proactive uncertainty-reducing mitigations and applications in cybersecurity investment decision making. Inform. Systems Res. 29(2):315–340.LinkGoogle Scholar
  • Bengio Y (2019) From system 1 deep learning to system 2 deep learning. Conf. Neural Inform. Processing Systems, Vancouver, BC.Google Scholar
  • Buchanan BG, Shortliffe EH (1984) Rule-Based Expert Systems: the MYCIN Experiment of the Stanford Heuristic Programming Project (Addison-Wesley, Reading, MA).Google Scholar
  • Burton-Jones A, Boh WF, Oborn E, Padmanabhan B (2021) Editor’s comments: Advancing research transparency at MIS Quarterly: A pluralistic approach. MIS Quart. 45(2):iii–xviii.Google Scholar
  • Clarke R, Burton-Jones A, Weber R (2016) On the ontological quality and logical quality of conceptual-modeling grammars: The need for a dual perspective. Inform. Systems Res. 27(2):365–382.LinkGoogle Scholar
  • Crawford K, Calo R (2016) There is a blind spot in AI research. NATNEWS 538(7625):311–313.Google Scholar
  • Dempster MAH, Leemans V (2006) An automated FX trading system using adaptive reinforcement learning. Expert Systems Appl. 30(3):543–552.CrossrefGoogle Scholar
  • Dhar V, Geva T, Oestreicher-Singer G, Sundararajan A (2014) Prediction in economic networks. Inform. Systems Res. 25(2):264–284.LinkGoogle Scholar
  • Dietterich TG (2017) Steps toward robust artificial intelligence. AI Magazine 38(3):3–24.CrossrefGoogle Scholar
  • Feigenbaum EA (1981) Expert systems in the 1980s. Bond A, ed. State of the Art Report on Machine Intelligence (Pergamon-Infotech, Maidenhead, England).Google Scholar
  • Frey CB, Osborne MA (2017) The future of employment: How susceptible are jobs to computerization? Tech. Forecasting Soc. Change 114:254–280.CrossrefGoogle Scholar
  • Fügener A, Grahl J, Gupta A, Ketter W (2019) Cognitive changes in human-AI collaboration: Investigating the path towards productive delegation. Technical report, April 8. Available at http://dx.doi.org/10.2139/ssrn.3368813.Google Scholar
  • Galbraith JR (1974) Organization design: An information processing view. Interfaces 4(3):28–36.LinkGoogle Scholar
  • Ganju KK, Pavlou PA, Banker RD (2016) Does information and communication technology lead to the well-being of nations? A country-level empirical investigation. MIS Quart. 40(2):417–430.CrossrefGoogle Scholar
  • Ge R, Zheng ZE, Tian X, Liao L (2021) Human-robot interaction: When investors adjust the usage of robo-advisors in peer-to-peer lending. Inform. Systems Res., ePub ahead of print July 20, https://doi.org/10.1287/isre.2021.1009.Google Scholar
  • Germany (2019) Artificial intelligence strategy. Accessed June 21, 2021, https://knowledge4policy.ec.europa.eu/publication/germany-artificial-intelligence-strategy_en.Google Scholar
  • Gladden ME (2014) The social robot as 'charismatic leader': A phenomenology of human submission to nonhuman power. Seibt J, Hakli R, Norskov M, eds. Sociable Robots and the Future of Social Relations: Proc. Robo-Philosophy 2014 vol. 273 (Ios Press, Amsterdam), 329–339.Google Scholar
  • Gregory RW, Muntermann J (2014) Research note—Heuristic theorizing: Proactively generating design theories. Inform. Systems Res. 25(3):639–653.LinkGoogle Scholar
  • Hinton GE, Simon O, Yee-Whye T (2006) A fast learning algorithm for deep belief nets. Neural Comput. 18(7):1527–1554.CrossrefGoogle Scholar
  • HLDI (2020) Compendium of HLDI collision avoidance research. Accessed June 27, 2021, https://www.iihs.org/media/e635cc76-b9bc-4bad-a30a-5d7b78791df2/vxeQ3A/HLDI%20Research/Collisions%20avoidance%20features/37-12-compendium.pdf.Google Scholar
  • Jussupow E, Spohrer K, Heinzl A, Gawlitza J (2021) Augmenting medical diagnosis decision? An investigation into physicians' decision-making process with artificial intelligence. Information Systems Research, ePub ahead of print February 26, https://doi.org/10.1287/isre.2020.0980.Google Scholar
  • Kellogg KC, Valentine MA, Christin A (2020) Algorithms at work: The new contested terrain of control. Acad. Management Ann. 14(1):366–410.CrossrefGoogle Scholar
  • Knightscope (2021) Retrieved June 1, 2021, https://www.knightscope.com/.Google Scholar
  • Kokkodis M (2021) Dynamic, multidimensional, and skillset-specific reputation systems for online work. Inform. Sci. Res., ePub ahead of print March 31, https://doi.org/10.1287/isre.2020.0972.Google Scholar
  • Krizhevsky A, Ilya S, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. Pereira F, Burges CJC, Bottou L, Weinberger KQ, eds. Proc. 25th Internat. Conf. Neural Inform. Processing Systems, vol. 1 (Curran Associates, Red Hook, NY), 1097–1105.Google Scholar
  • Krogh VG (2018) Artificial intelligence in organizations: New opportunities for phenomenon-based theorizing. Acad. Management Discoveries 4(4):404–409.CrossrefGoogle Scholar
  • LeCun Y, Bottou L, Orr GB, Muller KR (1998) Efficient BackProp. Orr GB, Müller KR, eds. Neural Networks: Tricks of the Trade, Lecture Notes in Computer Science (Springer, Berlin), 9–50.Google Scholar
  • Leidner DE, Kayworth T (2006) A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS Quart. 30(2):357–399.CrossrefGoogle Scholar
  • Licklider JC (1960) Man-computer symbiosis. IRE Trans. Human Factors Electronics HFE-1(1):4–11.Google Scholar
  • Lin TY, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Dollár P, Zitnick CL (2014) Microsoft coco: Common objects in context. Proc. Eur. Conf. Comput. Vision (Springer, Cham), 740–755.Google Scholar
  • Liu B, Pavlou PA (2021) Achieving a balance between privacy protection and data collection: A field experimental examination of a theory-driven IT solution. Inform. Systems Res. Forthcoming.Google Scholar
  • Malone TW (1987) Modeling coordination in organizations and markets. Management Sci. 33(10):1317–1332.LinkGoogle Scholar
  • Malone TJ (2018) Superminds (MIT Media Press, Cambridge, MA).Google Scholar
  • Marcus G (2020) The next decade in AI: Four steps toward robust artificial intelligence. Preprint, submitted February 14, https://arxiv.org/abs/2002.06177.Google Scholar
  • McGrath JE (1984) Groups: Interaction and Performance (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
  • Meyer G, Adomavicius G, Johnson PE, Elidrisi M, Rush WA, Sperl-Hillen JM, O’Connor PJ (2014) A machine learning approach to improving dynamic decision making. Inform. Systems Res. 25(2):239–263.LinkGoogle Scholar
  • Min H (2010) Artificial intelligence in supply chain management: Theory and applications. Internat. J. Logist.: Res. Appl. 13(1):13–39.CrossrefGoogle Scholar
  • Minsky M (1961) Steps toward artificial intelligence. Proc. IRE 49(1):8–30.CrossrefGoogle Scholar
  • Newell A, Simon HA (1976) Computer science as empirical inquiry: Symbols and search. Comm. ACM 19(3):113–126.CrossrefGoogle Scholar
  • NSTC (2019) The national artificial intelligence research and development strategic plan: 2019 update. National Science and Technology Council (NSTC) (US), Select Committee on Artificial Intelligence. Accessed June 26, 2021, https://www.nitrd.gov/pubs/National-AI-RD-Strategy-2019.pdf.Google Scholar
  • Pavlou PA (2011) State of the information privacy literature: Where are we now and where should we go? MIS Quart. 35(4):977–988.CrossrefGoogle Scholar
  • Peterson NG, Mumford MD, Borman WC, Jeanneret PR, Fleishman EA, Levin KY, Campion MA, et al. (2001) Understanding work using the Occupational Information Network (O* NET): Implications for practice and research. Personnel Psych. 54(2):451–492.CrossrefGoogle Scholar
  • Pew Research Center (2018) Public attitudes toward computer algorithms. Accessed June 27, 2021, https://www.pewresearch.org/internet/2018/11/16/attitudes-toward-algorithmic-decision-making/.Google Scholar
  • Pomerleau DA (1991) Efficient training of artificial neural networks for autonomous navigation. Neural Comput. 3(1):88–97.CrossrefGoogle Scholar
  • Raghu TS, Ramesh R, Chang AM, Whinston AB (2001) Collaborative decision making: A connectionist paradigm for dialectical support. Inform. Systems Res. 12(4):363–383.LinkGoogle Scholar
  • Rai A, Constantinides P, Sarker S (2019) Next generation digital platforms: Toward human-AI hybrids. MIS Quart. 43(1):iii–ix.CrossrefGoogle Scholar
  • Rosenblatt F (1957) The Perceptron, a Perceiving and Recognizing Automaton Project Para (Cornell Aeronautical Laboratory, Buffalo, NY).Google Scholar
  • Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back-propagating errors. Nature 323(6088):533–536.CrossrefGoogle Scholar
  • Schanke S, Burtch G, Ray G (2021) Estimating the impact “humanizing” customer service chatbots. Inform. Systems Res., ePub ahead of print May 24, https://doi.org/10.1287/isre.2021.1015.Google Scholar
  • 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.CrossrefGoogle Scholar
  • Simon HA (1983) Search and reasoning in problem solving. Artificial Intelligence 21(1-2):7–29.Google Scholar
  • Sironi P (2016) FinTech Innovation: From Robo-Advisors to Goal Based Investing and Gamification (John Wiley & Sons, New York).CrossrefGoogle Scholar
  • Taylor P, Bain P (1999) An assembly line in the head: Work and employee relations in the call centre. Indust. Relations J. 30(2):101–117.CrossrefGoogle Scholar
  • Turing AM (1950) Computing machinery and intelligence. Mind 59(236):433–460.CrossrefGoogle Scholar
  • Tversky AD, Kahneman D (1974) Judgment under uncertainty: Heuristics and biases. Sci. 185:1124–1131.CrossrefGoogle Scholar
  • Vaswani A, Noam S, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser K, Polosukhin I (2017) Attention is all you need. Preprint, submitted June 12, https://arxiv.org/abs/1706.03762.Google Scholar
  • von Ahn L, Dabbish L (2008) Designing games with a purpose. Comm. ACM 51(8):58–67.CrossrefGoogle Scholar
  • Wilson HJ, Daugherty PR (2018) Collaborative intelligence: Humans and AI are joining forces. Harvard Bus. Rev. 96(4):1–10.Google Scholar
  • Winograd T (2006) Shifting viewpoints: Artificial intelligence and human–computer interaction. Artificial Intelligence 170(18):1256–1258.CrossrefGoogle Scholar
  • Wood AJ, Graham M, Lehdonvirta V, Hjorth I (2019) Good gig, bad gig: Autonomy and algorithmic control in the global gig economy. Work Employment Soc. 33(1):56–75.CrossrefGoogle Scholar
  • Yin J, Luo J, Brown SA (2021) Learning from crowdsourced multi-labeling: A variational Bayesian approach. Inform. Systems Res. Forthcoming.Google Scholar
  • Zhang D, Mishra S, Brynjolfsson E, Etchemendy J, Ganguli D, Grosz B, Lyons T, et al. (2021) The AI index 2021 annual report. Preprint, submitted March 9, https://arxiv.org/abs/2103.06312.Google Scholar
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