@conference {9999,
	title = {Project archetypes: A blessing and a curse for AI development},
	booktitle = {International Conference on Information Systems (ICIS)},
	year = {2022},
	address = {Copenhagen, Denmark},
	abstract = {<p>Software projects rely on what we propose to call project archetypes, i.e., pre-existing mental images of how projects work. They guide distribution of responsibilities, planning, or expectations. However, with the technological progress, project archetypes may become outdated, ineffective, or counterproductive by impeding more adequate approaches. Understanding archetypes of software development projects is core to leverage their potential. The development of applications using machine learning and artificial intelligence provides a context in which existing archetypes might outdate and need to be questioned, adapted, or replaced. We analyzed 36 interviews from 21 projects between IBM Watson and client companies and identified four project archetypes members initially used to understand the projects. We then derive a new project archetype, cognitive computing project, from the interviews. It can inform future development projects based on AI-development platforms. Project leaders should pro-actively manage project archetypes while researchers should investigate what guides initial understandings of software projects.</p>},
	url = {https://aisel.aisnet.org/icis2022/is_design/is_design/6 },
	attachments = {https://waim.network/sites/crowston.syr.edu/files/icis_archetypes_rev1_v20_zora.pdf},
	author = {Mateusz Dolata and Kevin Crowston and Gerhard Schwabe}
}
@conference {Sampson2020,
	title = {Predicting Automation of Professional Jobs in Healthcare},
	booktitle = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
	volume = {3},
	year = {2020},
	pages = {3529{\textendash}3537},
	isbn = {9780998133133},
	doi = {10.24251/hicss.2020.433},
	author = {Sampson, Scott}
}
@article {2019,
	title = {Physician perspectives on integration of artificial intelligence into diagnostic pathology},
	journal = {npj Digital Medicine},
	volume = {2},
	year = {2019},
	month = {Jan-12-2019},
	doi = {10.1038/s41746-019-0106-0},
	author = {Sarwar, Shihab and Dent, Anglin and Faust, Kevin and Richer, Maxime and Djuric, Ugljesa and Van Ommeren, Randy and Diamandis, Phedias}
}
@article {2019,
	title = {Pooling knowledge through artificial swarm intelligence to improve business decision making},
	journal = {California Management Review},
	volume = {61},
	year = {2019},
	month = {Sep-08-2019},
	pages = {84 - 109},
	issn = {0008-1256},
	doi = {10.1177/0008125619862256},
	author = {Metcalf, Lynn and Askay, David A. and Rosenberg, Louis B.}
}
@article {2019,
	title = {The potential for artificial intelligence in healthcare},
	journal = {Future Healthcare Journal},
	volume = {6},
	year = {2019},
	month = {Jan-06-2020},
	pages = {94 - 98},
	issn = {2514-6645},
	doi = {10.7861/futurehosp.6-2-94},
	author = {Davenport, Thomas and Kalakota, Ravi}
}
@article {2019,
	title = {Precarious lives: Job insecurity and well-being in rich democracies},
	journal = {Social Forces},
	volume = {97},
	year = {2019},
	month = {Jun-04-2019},
	pages = {e1 - e3},
	issn = {0037-7732},
	doi = {10.1093/sf/soz022},
	author = {Pugh, Allison J}
}
@article {2019,
	title = {The present and future of deep learning in radiology},
	journal = {European Journal of Radiology},
	volume = {114},
	year = {2019},
	month = {Jan-05-2019},
	pages = {14 - 24},
	issn = {0720048X},
	doi = {10.1016/j.ejrad.2019.02.038},
	url = {https://doi.org/10.1016/j.ejrad.2019.02.038},
	author = {Saba, Luca and Biswas, Mainak and Kuppili, Venkatanareshbabu and Cuadrado Godia, Elisa and Suri, Harman S. and Edla, Damodar Reddy and Omerzu, Toma{\v z} and Laird, John R. and Khanna, Narendra N. and Mavrogeni, Sophie and Protogerou, Athanasios and Sfikakis, Petros P. and Viswanathan, Vijay and Kitas, George D. and Nicolaides, Andrew and Gupta, Ajay and Suri, Jasjit S.}
}
@article {2019,
	title = {Primer on artificial intelligence and robotics},
	journal = {Journal of Organization Design},
	volume = {8},
	year = {2019},
	month = {Jan-12-2019},
	doi = {10.1186/s41469-019-0050-0},
	author = {Raj, Manav and Seamans, Robert}
}
@article {2018,
	title = {Paving the way for the future of work},
	journal = {Canadian Public Policy},
	year = {2018},
	month = {Mar-11-2019},
	pages = {1 - 10},
	issn = {0317-0861},
	doi = {10.3138/cpp.2018-012},
	author = {Anani, Namir}
}
@article {2018,
	title = {Platforms at work: Automated hiring platforms and other new intermediaries in the organization of work},
	year = {2018},
	url = {http://dmgreene.net/wp-content/uploads/2018/09/Ajunwa-Greene-Platforms-at-Work-Accepted-Version.pdf},
	author = {Ifeoma Ajunwa and Daniel Greene}
}
@article {2018,
	title = {The predictions on the future of labour are not grounded; some arguments for a bayesian approach},
	journal = {Postmodern Openings},
	volume = {9},
	year = {2018},
	month = {Jan-09-2020},
	pages = {36 - 63},
	issn = {20680236},
	doi = {10.18662/po/35},
	author = {Rotila, Viorel}
}
@article {2018,
	title = {A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis},
	journal = {npj Digital Medicine},
	volume = {1},
	year = {2018},
	month = {Jan-12-2018},
	doi = {10.1038/s41746-018-0057-x},
	author = {Dimitriou, Neofytos and Arandjelovi{\'c}, Ognjen and Harrison, David J. and Caie, Peter D.}
}
@article {2018,
	title = {The productivity j-curve: How intangibles complement general purpose technologies},
	year = {2018},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w25148},
	author = {Brynjolfsson, Erik and Rock, Daniel and Syverson, Chad}
}
@article {2018,
	title = {Promethean AI uses artificial intelligence to help artists fill out game worlds},
	year = {2018},
	keywords = {AI use cases},
	url = {https://venturebeat.com/2018/07/18/promethean-ai-uses-artificial-intelligence-to-help-artists-fill-out-game-worlds/},
	author = {Dean Takahashi}
}
@conference {Malone:2017:PPB:2998181.2998343,
	title = {Putting the Pieces Back Together Again: Contest Webs for Large-Scale Problem Solving},
	booktitle = {Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing},
	year = {2017},
	pages = {1661{\textendash}1674},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	keywords = {climate change, collective intelligence, contest webs, contests, Coordination, incentives, knowledge reuse},
	isbn = {978-1-4503-4335-0},
	doi = {10.1145/2998181.2998343},
	url = {http://doi.acm.org/10.1145/2998181.2998343},
	author = {Malone, Thomas W. and Jeffrey V Nickerson and Laubacher, Robert J. and Fisher, Laur Hesse and de Boer, Patrick and Han, Yue and Towne, W. Ben}
}
@article {2016,
	title = {Predicting the Future {\textemdash} Big Data, Machine Learning, and Clinical Medicine},
	journal = {New England Journal of Medicine},
	volume = {375},
	year = {2016},
	month = {May-09-2018},
	pages = {1216 - 1219},
	issn = {0028-4793},
	doi = {10.1056/NEJMp1606181},
	author = {Obermeyer, Ziad and Emanuel, Ezekiel J.}
}
@article {2016,
	title = {Preparing for the future of Artificial intelligence},
	year = {2016},
	month = {10/2016},
	institution = {Executive Office of the President National Science and Technology Council Committee on Technology},
	url = {https://obamawhitehouse.archives.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/preparing_for_the_future_of_ai.pdf}
}
@article {2010,
	title = {Prediction modeling using EHR data: Challenges, strategies, and a comparison of machine learning approaches},
	journal = {Medical Care},
	volume = {48},
	year = {2010},
	publisher = {Lippincott Williams \& Wilkins},
	type = {Emerging Methods and Policy Applications},
	url = {https://www.jstor.org/stable/20720782},
	author = {Jionglin Wu and Jason Ray and Walter F. Stewart}
}
@article {2003,
	title = {A Preliminary Analysis of Occupational Task Statements from the O*NET Data Collection Program},
	year = {2003},
	institution = {National Center for O*NET Development},
	isbn = {FR-02-52},
	author = {Van Iddekinge, Chad and Suzanne Tsacoumis and Jamie Donsbach}
}
@book {1911,
	title = {The Principles of Scientific Management},
	year = {1911},
	publisher = {Norton \& Company},
	organization = {Norton \& Company},
	address = {New York},
	keywords = {Productionmanagement},
	author = {Taylor, F. W.}
}
