@article {2021,
	title = {Hybrid intelligence in business networks},
	journal = {Electronic Markets},
	year = {2021},
	month = {Nov-06-2021},
	issn = {1019-6781},
	doi = {10.1007/s12525-021-00481-4},
	attachments = {https://waim.network/sites/crowston.syr.edu/files/Ebel2021_Article_HybridIntelligenceInBusinessNe.pdf},
	author = {Ebel, Philipp and S{\"o}llner, Matthias and Leimeister, Jan Marco and Crowston, Kevin and de Vreede, Gert-Jan}
}
@article {Reim2020,
	title = {Implementation of Artificial Intelligence (AI): A Roadmap for Business Model Innovation},
	journal = {AI},
	volume = {1},
	number = {2},
	year = {2020},
	pages = {180{\textendash}191},
	abstract = {Technical advancements within the subject of artificial intelligence (AI) leads towards development of human-like machines, able to operate autonomously and mimic our cognitive behavior. The progress and interest among managers, academics and the public has created a hype among many industries, and many firms are investing heavily to capitalize on the technology through business model innovation. However, managers are left with little support from academia when aiming to implement AI in their firm{\textquoteright}s operations, which leads to an increased risk of project failure and unwanted results. This paper aims to provide a deeper understanding of AI and how it can be used as a catalyst for business model innovation. Due to the increasing range and variety of the available published material, a literature review has been performed to gather current knowledge within AI business model innovation. The results are presented in a roadmap to guide the implementation of AI to firm{\textquoteright}s operations. Our presented findings suggest four steps when implementing AI: (1) understand AI and organizational capabilities needed for digital transformation; (2) understand current BM, potential for BMI, and business ecosystem role; (3) develop and refine capabilities needed to implement AI; and (4) reach organizational acceptance and develop internal competencies.},
	keywords = {artificial intelligence, business model innovation, business models, implementation},
	issn = {2673-2688},
	doi = {10.3390/ai1020011},
	author = {Reim, Wiebke and {\r A}str{\"o}m, Josef and Eriksson, Oliver}
}
@article {Seeber2020,
	title = {Machines as teammates: A research agenda on AI in team collaboration},
	journal = {Information and Management},
	volume = {57},
	number = {2},
	year = {2020},
	pages = {103174},
	publisher = {Elsevier},
	abstract = {What if artificial intelligence (AI) machines became teammates rather than tools? This paper reports on an international initiative by 65 collaboration scientists to develop a research agenda for exploring the potential risks and benefits of machines as teammates (MaT). They generated 819 research questions. A subteam of 12 converged them to a research agenda comprising three design areas {\textendash} Machine artifact, Collaboration, and Institution {\textendash} and 17 dualities {\textendash} significant effects with the potential for benefit or harm. The MaT research agenda offers a structure and archetypal research questions to organize early thought and research in this new area of study.},
	keywords = {artificial intelligence, Design, Duality, Research agenda, Team collaboration},
	issn = {03787206},
	doi = {10.1016/j.im.2019.103174},
	url = {https://doi.org/10.1016/j.im.2019.103174},
	author = {Seeber, Isabella and Bittner, Eva and Briggs, Robert O and de Vreede, Triparna and de Vreede, Gert Jan and Elkins, Aaron and Maier, Ronald and Merz, Alexander B and Oeste-Rei{\ss}, Sarah and Randrup, Nils and Schwabe, Gerhard and S{\"o}llner, Matthias}
}
@article {Theresa2020,
	title = {Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation},
	journal = {The TQM Journal},
	volume = {ahead-of-p},
	number = {ahead-of-print},
	year = {2020},
	month = {jan},
	abstract = {Purpose This paper explores if and how Artificial Intelligence can contribute to marketing strategy formulation.Design/methodology/approach Qualitative research based on exploratory in-depth interviews with industry experts currently working with artificial intelligence tools.Findings Key themes include: (1) Importance of AI in strategic marketing decision management; (2) Presence of AI in strategic decision management; (3) Role of AI in strategic decision management; (4) Importance of business culture for the use of AI; (5) Impact of AI on the business{\textquoteright} organizational model. A key consideration is a {\textquotedblleft}creative-possibility perspective,{\textquotedblright} highlighting the future potential to use AI not only for rational but also for creative thinking purposes.Research limitations/implications This work is focused only on strategy creation as a deliberate process. For this, AI can be used as an effective response to the external contingencies of high volumes of data and uncertain environmental conditions, as well as being an effective response to the external contingencies of limited managerial cognition. A key future consideration is a {\textquotedblleft}creative-possibility perspective.{\textquotedblright}Practical implications A practical extension of the Gartner Analytics Ascendancy Model (Maoz, 2013).Originality/value This paper aims to contribute knowledge relating to the role of AI in marketing strategy formulation and explores the potential avenues for future use of AI in the strategic marketing process. This is explored through the lens of contingency theory, and additionally, findings are expressed using the Gartner analytics ascendancy model.},
	keywords = {AI, artificial intelligence, creativity, marketing strategy, marketing synergy, paper type research paper, rationality, tqm},
	isbn = {1754-2731},
	doi = {10.1108/TQM-12-2019-0303},
	url = {https://doi.org/10.1108/TQM-12-2019-0303},
	author = {Theresa, Eriksson and Alessandro, Bigi and Michelle, Bonera and Eriksson, Theresa and Bigi, Alessandro and Bonera, Michelle and Theresa, Eriksson and Alessandro, Bigi and Michelle, Bonera}
}
@article {Brundage2020,
	title = {Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims},
	year = {2020},
	pages = {1{\textendash}9},
	abstract = {With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and recognition that existing regulations and norms in industry and academia are insufficient to ensure responsible AI development. In order for AI developers to earn trust from system users, customers, civil society, governments, and other stakeholders that they are building AI responsibly, they will need to make verifiable claims to which they can be held accountable. Those outside of a given organization also need effective means of scrutinizing such claims. This report suggests various steps that different stakeholders can take to improve the verifiability of claims made about AI systems and their associated development processes, with a focus on providing evidence about the safety, security, fairness, and privacy protection of AI systems. We analyze ten mechanisms for this purpose{\textendash}spanning institutions, software, and hardware{\textendash}and make recommendations aimed at implementing, exploring, or improving those mechanisms.},
	url = {http://arxiv.org/abs/2004.07213},
	author = {Brundage, Miles and Avin, Shahar and Wang, Jasmine and Belfield, Haydn and Krueger, Gretchen and Hadfield, Gillian and Khlaaf, Heidy and Yang, Jingying and Toner, Helen and Fong, Ruth and Maharaj, Tegan and Koh, Pang Wei and Hooker, Sara and Leung, Jade and Trask, Andrew and Bluemke, Emma and Lebensold, Jonathan and O{\textquoteright}Keefe, Cullen and Koren, Mark and Ryffel, Th{\'e}o and Rubinovitz, JB and Besiroglu, Tamay and Carugati, Federica and Clark, Jack and Eckersley, Peter and de Haas, Sarah and Johnson, Maritza and Laurie, Ben and Ingerman, Alex and Krawczuk, Igor and Askell, Amanda and Cammarota, Rosario and Lohn, Andrew and Krueger, David and Stix, Charlotte and Henderson, Peter and Graham, Logan and Prunkl, Carina and Martin, Bianca and Seger, Elizabeth and Zilberman, Noa and H{\'E}igeartaigh, Se{\'a}n {\'O} and Kroeger, Frens and Sastry, Girish and Kagan, Rebecca and Weller, Adrian and Tse, Brian and Barnes, Elizabeth and Dafoe, Allan and Scharre, Paul and Herbert-Voss, Ariel and Rasser, Martijn and Sodhani, Shagun and Flynn, Carrick and Gilbert, Thomas Krendl and Dyer, Lisa and Khan, Saif and Bengio, Yoshua and Anderljung, Markus}
}
@article {2019,
	title = {Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark},
	journal = {European Journal of Cancer},
	volume = {111},
	year = {2019},
	month = {Jan-04-2019},
	pages = {30 - 37},
	issn = {09598049},
	doi = {10.1016/j.ejca.2018.12.016},
	author = {Brinker, Titus J. and Hekler, Achim and Hauschild, Axel and Berking, Carola and Schilling, Bastian and Alexander Enk and Haferkamp, Sebastian and Karoglan, Ante and von Kalle, Christof and Weichenthal, Michael and Sattler, Elke and Schadendorf, Dirk and Gaiser, Maria R. and Klode, Joachim and Jochen Sven Utikal}
}
@article {2019,
	title = {A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task},
	journal = {European Journal of Cancer},
	volume = {111},
	year = {2019},
	month = {Jan-04-2019},
	pages = {148 - 154},
	issn = {09598049},
	doi = {10.1016/j.ejca.2019.02.005},
	author = {Brinker, Titus J. and Hekler, Achim and Alexander Enk and Klode, Joachim and Hauschild, Axel and Berking, Carola and Schilling, Bastian and Haferkamp, Sebastian and Schadendorf, Dirk and Fr{\"o}hling, Stefan and Jochen Sven Utikal and von Kalle, Christof and Ludwig-Peitsch, Wiebke and Sirokay, Judith and Heinzerling, Lucie and Albrecht, Magarete and Baratella, Katharina and Bischof, Lena and Chorti, Eleftheria and Dith, Anna and Drusio, Christina and Giese, Nina and Gratsias, Emmanouil and Griewank, Klaus and Hallasch, Sandra and Hanhart, Zdenka and Herz, Saskia and Hohaus, Katja and Jansen, Philipp and Jockenh{\"o}fer, Finja and Kanaki, Theodora and Knispel, Sarah and Leonhard, Katja and Martaki, Anna and Matei, Liliana and Matull, Johanna and Olischewski, Alexandra and Petri, Maximilian and Placke, Jan-Malte and Raub, Simon and Salva, Katrin and Schlott, Swantje and Sody, Elsa and Steingrube, Nadine and Stoffels, Ingo and Ugurel, Selma and Sondermann, Wiebke and Zaremba, Anne and Gebhardt, Christoffer and Booken, Nina and Christolouka, Maria and Buder-Bakhaya, Kristina and Bokor-Billmann, Therezia and Alexander Enk and Gholam, Patrick and H{\"a}n{\ss}le, Holger and Salzmann, Martin and Sch{\"a}fer, Sarah and Sch{\"a}kel, Knut and Schank, Timo and Bohne, Ann-Sophie and Deffaa, Sophia and Drerup, Katharina and Egberts, Friederike and Erkens, Anna-Sophie and Ewald, Benjamin and Falkvoll, Sandra and Gerdes, Sascha and Harde, Viola and Hauschild, Axel and Jost, Marion and Kosova, Katja and Messinger, Laetitia and Metzner, Malte and Morrison, Kirsten and Motamedi, Rogina and Pinczker, Anja and Rosenthal, Anne and Scheller, Natalie and Schwarz, Thomas and St{\"o}lzl, Dora and Thielking, Federieke and Tomaschewski, Elena and Wehkamp, Ulrike and Weichenthal, Michael and Wiedow, Oliver and B{\"a}r, Claudia Maria and Bender-S{\"a}belkampf, Sophia and Horbr{\"u}gger, Marc and Karoglan, Ante and Kraas, Luise and Faulhaber, J{\"o}rg and Geraud, Cyrill and Guo, Ze and Koch, Philipp and Linke, Miriam and Maurier, Nolwenn and M{\"u}ller, Verena and Thomas, Benjamin and Jochen Sven Utikal and Alamri, Ali Saeed M. and Baczako, Andrea and Berking, Carola and Betke, Matthias and Haas, Carolin and Hartmann, Daniela and Heppt, Markus V. and Kilian, Katharina and Krammer, Sebastian and Lapczynski, Natalie Lidia and Mastnik, Sebastian and Nasifoglu, Suzan and Ruini, Cristel and Sattler, Elke and Schlaak, Max and Wolff, Hans and Achatz, Birgit and Bergbreiter, Astrid and Drexler, Konstantin and Ettinger, Monika and Haferkamp, Sebastian and Halupczok, Anna and Hegemann, Marie and Dinauer, Verena and Maagk, Maria and Mickler, Marion and Philipp, Biance and Wilm, Anna and Wittmann, Constanze and Gesierich, Anja and Glutsch, Valerie and Kahlert, Katrin and Kerstan, Andreas and Schilling, Bastian and Schr{\"u}fer, Philipp}
}
@article {2019,
	title = {Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task},
	journal = {European Journal of Cancer},
	volume = {113},
	year = {2019},
	month = {Jan-05-2019},
	pages = {47 - 54},
	issn = {09598049},
	doi = {10.1016/j.ejca.2019.04.001},
	author = {Brinker, Titus J. and Hekler, Achim and Alexander Enk and Klode, Joachim and Hauschild, Axel and Berking, Carola and Schilling, Bastian and Haferkamp, Sebastian and Schadendorf, Dirk and Holland-Letz, Tim and Jochen Sven Utikal and von Kalle, Christof and Ludwig-Peitsch, Wiebke and Sirokay, Judith and Heinzerling, Lucie and Albrecht, Magarete and Baratella, Katharina and Bischof, Lena and Chorti, Eleftheria and Dith, Anna and Drusio, Christina and Giese, Nina and Gratsias, Emmanouil and Griewank, Klaus and Hallasch, Sandra and Hanhart, Zdenka and Herz, Saskia and Hohaus, Katja and Jansen, Philipp and Jockenh{\"o}fer, Finja and Kanaki, Theodora and Knispel, Sarah and Leonhard, Katja and Martaki, Anna and Matei, Liliana and Matull, Johanna and Olischewski, Alexandra and Petri, Maximilian and Placke, Jan-Malte and Raub, Simon and Salva, Katrin and Schlott, Swantje and Sody, Elsa and Steingrube, Nadine and Stoffels, Ingo and Ugurel, Selma and Zaremba, Anne and Gebhardt, Christoffer and Booken, Nina and Christolouka, Maria and Buder-Bakhaya, Kristina and Bokor-Billmann, Therezia and Alexander Enk and Gholam, Patrick and H{\"a}n{\ss}le, Holger and Salzmann, Martin and Sch{\"a}fer, Sarah and Sch{\"a}kel, Knut and Schank, Timo and Bohne, Ann-Sophie and Deffaa, Sophia and Drerup, Katharina and Egberts, Friederike and Erkens, Anna-Sophie and Ewald, Benjamin and Falkvoll, Sandra and Gerdes, Sascha and Harde, Viola and Hauschild, Axel and Jost, Marion and Kosova, Katja and Messinger, Laetitia and Metzner, Malte and Morrison, Kirsten and Motamedi, Rogina and Pinczker, Anja and Rosenthal, Anne and Scheller, Natalie and Schwarz, Thomas and St{\"o}lzl, Dora and Thielking, Federieke and Tomaschewski, Elena and Wehkamp, Ulrike and Weichenthal, Michael and Wiedow, Oliver and B{\"a}r, Claudia Maria and Bender-S{\"a}belkampf, Sophia and Horbr{\"u}gger, Marc and Karoglan, Ante and Kraas, Luise and Faulhaber, J{\"o}rg and Geraud, Cyrill and Guo, Ze and Koch, Philipp and Linke, Miriam and Maurier, Nolwenn and M{\"u}ller, Verena and Thomas, Benjamin and Jochen Sven Utikal and Alamri, Ali Saeed M. and Baczako, Andrea and Berking, Carola and Betke, Matthias and Haas, Carolin and Hartmann, Daniela and Heppt, Markus V. and Kilian, Katharina and Krammer, Sebastian and Lapczynski, Natalie Lidia and Mastnik, Sebastian and Nasifoglu, Suzan and Ruini, Cristel and Sattler, Elke and Schlaak, Max and Wolff, Hans and Achatz, Birgit and Bergbreiter, Astrid and Drexler, Konstantin and Ettinger, Monika and Haferkamp, Sebastian and Halupczok, Anna and Hegemann, Marie and Dinauer, Verena and Maagk, Maria and Mickler, Marion and Philipp, Biance and Wilm, Anna and Wittmann, Constanze and Gesierich, Anja and Glutsch, Valerie and Kahlert, Katrin and Kerstan, Andreas and Schilling, Bastian and Schr{\"u}fer, Philipp}
}
@conference {2019,
	title = {The future of human-AI collaboration: A taxonomy of design knowledge for hybrid intelligence systems},
	booktitle = {Hawaii International Conference on System Sciences (HICSS)},
	year = {2019},
	month = {09/2018},
	abstract = {Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in current real-world business applications cannot yet be solved by machines alone. We, therefore, identify the need for developing socio-technological ensembles of humans and machines. Such systems possess the ability to accomplish complex goals by combining human and artificial intelligence to collectively achieve superior results and continuously improve by learning from each other. Thus, the need for structured design knowledge for those systems arises. Following a taxonomy development method, this article provides three main contributions: First, we present a structured overview of interdisciplinary research on the role of humans in the machine learning pipeline. Second, we envision hybrid intelligence systems and conceptualize the relevant dimensions for system design for the first time. Finally, we offer useful guidance for system developers during the implementation of such applications.},
	url = {https://www.alexandria.unisg.ch/publications/254994},
	author = {Dominik Dellermann and Adrian Calma and Nikolaus Lipusch and Thorsten Weber and Sascha Weigel and Philipp Ebel}
}
@article {2019,
	title = {The future of women at work},
	volume = {McKinsey Global Institute},
	year = {2019},
	month = {06/2019},
	keywords = {consulting reports},
	url = {https://www.mckinsey.com/~/media/mckinsey/featured\%20insights/gender\%20equality/the\%20future\%20of\%20women\%20at\%20work\%20transitions\%20in\%20the\%20age\%20of\%20automation/mgi-the-future-of-women-at-work-full-report-june\%202019.ashx},
	author = {Anu Madgavkar and James Manyika and Mekala Krishnan and Kweilin Ellingrud and Lareina Yee and Jonathan Woetzel and Michael Chui and Vivian Hunt and Sruti Balakrishnan}
}
@article {2019,
	title = {Hybrid Intelligence},
	journal = {Business \& Information Systems Engineering},
	volume = {61},
	year = {2019},
	month = {Jan-10-2019},
	pages = {637 - 643},
	issn = {2363-7005},
	doi = {10.1007/s12599-019-00595-2},
	author = {Dellermann, Dominik and Ebel, Philipp and S{\"o}llner, Matthias and Leimeister, Jan Marco}
}
@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 {2018,
	title = {AI is coming after highly skilled jobs, and it{\textquoteright}s meeting resistance},
	journal = {venturebeat},
	year = {2018},
	keywords = {AI},
	url = {https://venturebeat.com/2018/03/04/ai-is-coming-after-highly-skilled-jobs-and-its-meeting-resistance/},
	author = {Sascha Eder}
}
@book {2018,
	title = {Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide},
	volume = {537},
	year = {2018},
	pages = {359 - 373},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-99604-2},
	issn = {1868-4238},
	doi = {10.1007/978-3-319-99605-9_27},
	author = {Vassilis Galanos},
	editor = {Kreps, David and Ess, Charles and Leenen, Louise and Kimppa, Kai}
}
@book {2018,
	title = {Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide},
	volume = {537},
	year = {2018},
	pages = {359 - 373},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-99604-2},
	issn = {1868-4238},
	doi = {10.1007/978-3-319-99605-9_27},
	author = {Vassilis Galanos},
	editor = {Kreps, David and Ess, Charles and Leenen, Louise and Kimppa, Kai}
}
@article {2018,
	title = {Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration},
	journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
	volume = {376},
	year = {2018},
	month = {Jan-09-2019},
	pages = {20170357},
	issn = {1364-503X},
	doi = {10.1098/rsta.2017.0357},
	author = {Mikhaylov, Slava Jankin and Esteve, Marc and Campion, Averill}
}
@article {2018,
	title = {Automating the black art: Creative places for artificial intelligence in audio mastering},
	journal = {Geoforum},
	volume = {96},
	year = {2018},
	pages = {77-86},
	issn = {00167185},
	doi = {10.1016/j.geoforum.2018.08.005},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0016718518302392},
	author = {Birtchnell, Thomas and Elliott, Anthony}
}
@article {2018,
	title = {The economics of artificial intelligence: Implications for the future of work},
	year = {2018},
	isbn = {978-92-2-031137-0},
	issn = {978-92-2-031138-7},
	url = {https://www.ilo.org/wcmsp5/groups/public/---dgreports/---cabinet/documents/publication/wcms_647306.pdf},
	author = {Ekkehard Ernst and Rossana Merola and Daniel Samaan}
}
@article {2018,
	title = { Robots worldwide: The impact of automation on employment and trade},
	number = {36},
	year = {2018},
	month = {10/2018},
	keywords = {economics of automation, Employment, off-shoring, re-shoring, robot, technology},
	url = {https://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_648063.pdf},
	author = {Francesco Carnonero and Ekkehard Ernst and Enzo Weber}
}
@book {2018,
	title = {The social consequences of the digital revolution},
	volume = {6},
	year = {2018},
	publisher = {Edizioni Ca{\textquoteright} Foscari},
	organization = {Edizioni Ca{\textquoteright} Foscari},
	address = {Venice},
	isbn = {978-88-6969-274-1},
	issn = {2610-9085},
	doi = {10.30687/2610-968910.30687/978-88-6969-273-410.30687/978-88-6969-273-4/008},
	url = {http://edizionicafoscari.unive.it/collane/societa-e-trasformazioni-sociali/http://edizionicafoscari.unive.it/libri/978-88-6969-274-1/http://edizionicafoscari.unive.it/libri/978-88-6969-274-1/the-social-consequences-of-the-digital-revolution/},
	author = {Basso, Pietro and Chiaretti, Giuliana and Krzywdzinski, Martin and Gerber, Christine and Evers, Maren}
}
@article {2018,
	title = {Technology-induced bias in the theory of evidence-based medicine},
	journal = {Journal of Evaluation in Clinical Practice},
	volume = {24},
	year = {2018},
	month = {Jan-10-2018},
	pages = {945 - 949},
	doi = {10.1111/jep.12972},
	author = {Eustace, Scott}
}
@article {2018,
	title = {When Will AI Exceed Human Performance? Evidence from AI Experts},
	year = {2018},
	url = {https://jair.org/index.php/jair/article/download/11222/26431/},
	author = {Katja Grace and John Salvatier and Allan Dafoe and Baobao Zhang and Owain Evans}
}
@article {RN30632,
	title = {Dermatologist-level classification of skin cancer with deep neural networks},
	journal = {Nature},
	volume = {542},
	number = {7639},
	year = {2017},
	pages = {115{\textendash}118},
	type = {Journal Article},
	issn = {0028-0836},
	author = {Esteva, Andre and Kuprel, Brett and Novoa, Roberto A and Ko, Justin and Swetter, Susan M and Blau, Helen M and Thrun, Sebastian}
}
@mastersthesis {2017,
	title = {An empirical analysis of the impacts of robotization on employment in the Norwegian manufacturing industry},
	year = {2017},
	type = {master thesis},
	abstract = {Rapid advances in robotics, artificial intelligence, and digital technologies have introduced renewed concern that labor will become redundant. The aim of this thesis is to assess whether there exists a relationship between robotization and employment in the time periods 1996-2005 and 2008-2015 in Norwegian manufacturing industries. We exploit data on operational robots from the International Federation of Robotics and individual level data from the Norwegian Labour Force Survey, to assess a potential relationship between increased robotization and the probability of being employed within the manufacturing industries. Utilizing linear probability models, we find no negative relationship between increased robotization and the probability of being employed in Norwegian manufacturing industries. Further, we find indications of a relationship between increased robotization and skill-biases. However, the relationships are of no economic significance. Our findings are consistent with previous research on the impacts of robotization on employment outcomes. Further, we find that robotization is distinct and weakly correlated to import density and capital density.},
	url = {https://www.semanticscholar.org/paper/Will-robots-replace-us-\%3A-an-Empirical-analysis-of-Gr\%C3\%B8ndahl-Eriksen/e4e22bf2498e42d6308d81cc7483b5a0b8ba48e7},
	author = {Fredrik Gr{\o}ndahl and Gina Hegland Eriksen}
}
@conference {2017,
	title = {SPIE ProceedingsBuilding a framework to manage trust in automation},
	booktitle = {SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications IX},
	volume = {10194},
	year = {2017},
	pages = {101941U},
	publisher = {SPIE},
	organization = {SPIE},
	address = {Anaheim, California, United States},
	doi = {10.1117/12.2264245},
	author = {Metcalfe, J. S. and Amar R. Marathe and Haynes, B. and Paul, V. J. and Gremillion, G. M. and Drnec, K. and Atwater, C. and Estepp, J. R. and Lukos, J. R. and Carter, E. C. and W. D. Nothwang},
	editor = {George, Thomas and Dutta, Achyut K. and Islam, M. Saif}
}
@article {2017,
	title = {Understanding human-machine networks},
	journal = {ACM Computing Surveys},
	volume = {50},
	year = {2017},
	month = {Jan-04-2018},
	pages = {1 - 35},
	issn = {03600300},
	doi = {10.1145/3039868},
	author = {Tsvetkova, Milena and Yasseri, Taha and Meyer, Eric T. and Pickering, J. Brian and Engen, Vegard and Walland, Paul and L{\"u}ders, Marika and F{\o}lstad, Asbj{\o}rn and Bravos, George}
}
@article {2016,
	title = {Differences in perceptions of communication quality between a Twitterbot and human agent for information seeking and learning},
	journal = {Computers in Human Behavior},
	volume = {65},
	year = {2016},
	month = {Jan-12-2016},
	pages = {666 - 671},
	issn = {07475632},
	doi = {10.1016/j.chb.2016.07.003},
	author = {Edwards, Chad and Beattie, Austin J. and Edwards, Autumn and Spence, Patric R.}
}
@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.}
}
@conference {2015,
	title = {Intelligible Models for HealthCare},
	booktitle = {the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD {\textquoteright}15},
	year = {2015},
	pages = {1721 - 1730},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Sydney, NSW, AustraliaNew York, New York, USA},
	isbn = {9781450336642},
	doi = {10.1145/278325810.1145/2783258.2788613},
	author = {Caruana, Rich and Lou, Yin and Gehrke, Johannes and Koch, Paul and Sturm, Marc and Elhadad, Noemie}
}
@book {2015,
	title = {Mining programming activity to promote help},
	year = {2015},
	pages = {23 - 42},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-20498-7},
	doi = {10.1007/978-3-319-20499-4_2},
	author = {Carter, Jason and Dewan, Prasun},
	editor = {Boulus-R{\o}dje, Nina and Ellingsen, Gunnar and Bratteteig, Tone and Aanestad, Margunn and Bj{\o}rn, Pernille}
}
@article {2014,
	title = {Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter},
	journal = {Computers in Human Behavior},
	volume = {33},
	year = {2014},
	month = {Jan-04-2014},
	pages = {372 - 376},
	issn = {07475632},
	doi = {10.1016/j.chb.2013.08.013},
	author = {Edwards, Chad and Edwards, Autumn and Spence, Patric R. and Shelton, Ashleigh K.}
}
