@article {Black2020,
	title = {AI-enabled recruiting: What is it and how should a manager use it?},
	journal = {Business Horizons},
	volume = {63},
	number = {2},
	year = {2020},
	pages = {215{\textendash}226},
	publisher = {Elsevier Ltd},
	abstract = {AI-enabled recruiting systems have evolved from nice to talk about to necessary to utilize. In this article, we outline the reasons underlying this development. First, as competitive advantages have shifted from tangible to intangible assets, human capital has transitioned from supporting cast to a starring role. Second, as digitalization has redesigned both the business and social landscapes, digital recruiting of human capital has moved from the periphery to center stage. Third, recent and near-future advances in AI-enabled recruiting have improved recruiting efficiency to the point that managers ignore them or procrastinate their utilization at their own peril. In addition to explaining the forces that have pushed AI-enabled recruiting systems from nice to necessary, we outline the key strategic steps managers need to take in order to capture its main benefits.},
	keywords = {AI-enabled recruiting, artificial intelligence, Digital recruiting technology, Human resources},
	issn = {00076813},
	doi = {10.1016/j.bushor.2019.12.001},
	url = {https://doi.org/10.1016/j.bushor.2019.12.001},
	author = {Black, J Stewart and van Esch, Patrick}
}
@article {2020,
	title = {Algorithms at work: The new contested terrain of control},
	journal = {Academy of Management Annals},
	volume = {14},
	year = {2020},
	month = {Jan-01-2020},
	pages = {366 - 410},
	issn = {1941-6520},
	doi = {10.5465/annals.2018.0174},
	author = {Kellogg, Katherine C. and Valentine, Melissa A. and Christin, Ang{\'e}le}
}
@article {Gentili2020,
	title = {Are machines stealing our jobs?},
	journal = {Cambridge Journal of Regions, Economy and Society},
	volume = {13},
	number = {1},
	year = {2020},
	pages = {153{\textendash}173},
	abstract = {This study aims to contribute empirical evidence to the debate about the future of work in an increasingly robotised world. We implement a data-driven approach to study the technological transition in six leading Organisation for Economic Co-operation and Development (OECD) countries. First, we perform a cross-country and cross-sector cluster analysis based on the OECD-STAN database. Second, using the International Federation of Robotics database, we bridge these results with those regarding the sectoral density of robots. We show that the process of robotisation is industry- and country-sensitive. In the future, participants in the political and academic debate may be split into optimists and pessimists regarding the future of human labour; however, the two stances may not be contradictory.},
	keywords = {cluster analysis, e24, e66, j24, jel classifications, labour dislocation, robotisation},
	issn = {1752-1378},
	doi = {10.1093/cjres/rsz025},
	author = {Gentili, Andrea and Compagnucci, Fabiano and Gallegati, Mauro and Valentini, Enzo}
}
@article {Bessen2020,
	title = {Automation: A Guide for Policymakers},
	year = {2020},
	institution = {Brookings Institute},
	abstract = {<p>\ldots evidence that automation is causing mass unemployment, perhaps things are about to change. Some people, such as Martin Ford (2015), argue that {\textquotedblleft}this time is different.{\textquotedblright} Perhaps the rate of technological change is much more rapid with new artificial intelligence technologies \ldots</p>},
	url = {https://www.brookings.edu/research/automation-a-guide-for-policymakers/},
	author = {Bessen, James and Goos, Maarten and Salomons, Anna and van den Berge, Wiljan}
}
@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}
}
@article {2019,
	title = {Google{\textquoteright}s head of translation on fighting bias in language and why AI loves religious texts},
	year = {2019},
	url = {https://www.theverge.com/2019/1/30/18195909/google-translate-ai-machine-learning-bias-religion-macduff-hughes-interview},
	author = {James Vincent}
}
@conference {2019,
	title = {How May I Help You? {\textendash} State of the Art and Open Research Questions for Chatbots at the Digital Workplace},
	booktitle = {Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences},
	year = {2019},
	publisher = {Hawaii International Conference on System Sciences},
	organization = {Hawaii International Conference on System Sciences},
	isbn = {978-0-9981331-2-6},
	doi = {10.24251/HICSS.2019.013},
	author = {Meyer von Wolff, Raphael and Hobert, Sebastian and Schumann, Matthias}
}
@conference {2019,
	title = {Inferring work task automatability from AI expert evidence},
	booktitle = {the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society  - AIES {\textquoteright}19},
	year = {2019},
	pages = {485 - 491},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Honolulu, HI, USANew York, New York, USA},
	isbn = {9781450363242},
	doi = {10.1145/330661810.1145/3306618.3314247},
	author = {Duckworth, Paul and Graham, Logan and Osborne, Michael}
}
@article {2019,
	title = {A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic},
	journal = {JCO Clinical Cancer Informatics},
	year = {2019},
	month = {Jan-04-2019},
	pages = {1 - 17},
	issn = {2473-4276},
	doi = {10.1200/CCI.18.00056},
	author = {Salvucci, Manuela and Rahman, Arman and Resler, Alexa J. and Udupi, Girish M. and McNamara, Deborah A. and Kay, Elaine W. and Laurent-Puig, Pierre and Longley, Daniel B. and Johnston, Patrick G. and Lawler, Mark and Wilson, Richard and Salto-Tellez, Manuel and Van Schaeybroeck, Sandra and Rafferty, Mairin and Gallagher, William M. and Rehm, Markus and Prehn, Jochen H.M.}
}
@article {2019,
	title = {Marketing AI recruitment: The next phase in job application and selection},
	journal = {Computers in Human Behavior},
	volume = {90},
	year = {2019},
	month = {Jan-01-2019},
	pages = {215 - 222},
	issn = {07475632},
	doi = {10.1016/j.chb.2018.09.009},
	author = {van Esch, Patrick and Black, J. Stewart and Ferolie, Joseph}
}
@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 = {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.}
}
@conference {2018,
	title = {AI Assistants as Non-human Actors in Service Design},
	booktitle = {21st DMI: Academic Design Management Conference},
	year = {2018},
	url = {https://www.researchgate.net/publication/326997609_AI_Assistants_as_Non-human_Actors_in_Service_Design?enrichId=rgreq-80a84e881501993f8b87a3d6387900aa-XXX\&enrichSource=Y292ZXJQYWdlOzMyNjk5NzYwOTtBUzo2NTkyMjU4MjI5MTY2MTBAMTUzNDE4MzA5Mjk2MQ\%3D\%3D\&el=1_x_2\&_},
	author = {TiTitta Jylkastta Jylk{\"a}s and Mikko {\"A}ij{\"a}l{\"a} and Tytti Vuorikari and V{\'e}saal Rajab}
}
@article {2018,
	title = {As s essing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour},
	year = {2018},
	url = {https://arxiv.org/ftp/arxiv/papers/1806/1806.03192.pdf},
	author = {Emilia G{\'o}mez and Carlos Castillo and Vicky Charisi and Ver{\'o}nica Dahl and Gustavo Deco and Blagoj Delipetrev and Nicole Dewandre and Miguel {\'A}ngel Gonz{\'a}lez-Ballester and Fabien Gouyon and Jos{\'e} Hern{\'a}ndez-Orallo and Perfecto Herrera and Anders Jonsson and Ansgar Koene and Martha Larson and Ram{\'o}n L{\'o}pez de M{\'a}ntaras and Bertin Martens and Marius Miron and Rub{\'e}n Moreno-Bote and Nuria Oliver and Antonio Puertas Gallardo and Heike Schweitzer and Nuria Sebastian and Xavier Serra and Joan Serr{\`a} and Song{\"u}l Tolan and Karina Vold}
}
@article {2018,
	title = {Autonomous trucks and the future of the american trucker},
	year = {2018},
	month = {09/2018},
	url = {https://www.steveviscelli.com/self-driving-trucks},
	author = {Steve Viscelli}
}
@article {2018,
	title = {Beyond r\&d: The role of embodied technological change in affecting employment},
	year = {2018},
	keywords = {Innovation; R\&D; Embodied Technological Change; Employment; GMM-SY},
	issn = {2284-0400},
	url = {https://ideas.repec.org/p/ssa/lemwps/2018-15.html},
	author = {Gabriele Pelleegrino and Mariacristina Piva and Marco Vivarelli}
}
@article {2018,
	title = {Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance},
	journal = {The Information Society},
	volume = {34},
	year = {2018},
	month = {Mar-05-2020},
	pages = {153 - 165},
	issn = {0197-2243},
	doi = {10.1080/01972243.2018.1444255},
	author = {Caleb-Solly, Praminda and Dogramadzi, Sanja and Huijnen, Claire A.G.J. and Heuvel, Herjan van den}
}
@conference {2018,
	title = {A framework for understanding chatbots and their future},
	booktitle = {the 11th International WorkshopProceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering  - CHASE {\textquoteright}18},
	year = {2018},
	pages = {13 - 16},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Gothenburg, SwedenNew York, New York, USA},
	isbn = {9781450357258},
	doi = {10.1145/3195836.3195859},
	author = {Paikari, Elahe and van der Hoek, Andr{\'e}}
}
@article {2018,
	title = {Human and Machine Learning},
	journal = {Computational Economics},
	year = {2018},
	month = {Sep-02-2019},
	issn = {0927-7099},
	doi = {10.1007/s10614-018-9803-z},
	author = {Kao, Ying-Fang and Venkatachalam, Ragupathy}
}
@article {2018,
	title = {The impact of automation on employment: Just the usual structural change? },
	journal = {Sustainability},
	volume = {10},
	year = {2018},
	month = {Jan-05-2018},
	pages = {1661},
	doi = {10.3390/su10051661},
	author = {Vermeulen, Ben and Kesselhut, Jan and Pyka, Andreas and Saviotti, Pier}
}
@book {2018,
	title = {Lecture Notes in Computer ScienceArtificial General IntelligenceTowards a Sociological Conception of Artificial Intelligence},
	volume = {10999},
	year = {2018},
	pages = {130 - 139},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-97675-4},
	issn = {0302-9743},
	doi = {10.1007/978-3-319-97676-1},
	author = {Jakub Mlynar and Hamed S. Alavi and Himanshu Verma and Lorenzo Cantoni},
	editor = {Matthew Ikl{\'e} and Arthur Franz and Rafal Rzepka and Ben Goertzel}
}
@article {2018,
	title = {Robot vs. tax inspector or how the fourth industrial revolution will change the tax system: a review of problems and solutions},
	journal = {Journal of Tax Reform},
	volume = {4},
	year = {2018},
	month = {Jan-01-2018},
	pages = {6 - 26},
	abstract = {The fourth Industiral Revolution and the accelerated development of cyber-physical technologies lead to essential changes in national tax systems and international taxation. The main areas in which taxation meets cyber-physical technologies are digitization, robotization, M2M and blockchain technologies. Each of these areas has its own opportunities and problems. Three main approaches towards possible solutions for these new problems are identified. The first is to try to apply taxation to new cyber-physical technologies and products of their application. This approach includes the OECD{\textquoteright}s Action 1 plan on Base Erosion and Profit Shifting. It also includes the spread of traditional taxes on new objects - personal data, cryptocurrencies, imputed income of robots. The second is to replace digital transactions and shortfalls in revenues by traditional objects of taxation in the form of tangible assets and people and / or increase tax pressure (including by improving tax administration with use of Big Data) and the degree of progressiveness of taxes already levied on such objects. The third approach is to set a course on building a new tax space with smart taxes based on real-time principles, smart contracts and Big Data. This implies a transition to automatic taxation using blockchain technologies, which focus on the functions of applying distributed ledgers of business transactions in real-time. At present, the general trends are such that the first and second are prevalent, which is manifested in an increase in the relative importance of property, sales and employment taxes. Concerning the third approach, any movement in this direction is still facing a number oftechnical and other problems and is thus being discussed mainly at the conceptual level},
	keywords = {blockchain, cyber-physical technologies, digitization, taxes in Big Data, taxes on cryptocurrencies, taxes on digital goods, taxes on robots},
	issn = {24128872},
	doi = {10.15826/jtr.2018.4.1.042},
	url = {https://jtr.urfu.ru/en/archive/journal/95/article/1113/},
	author = {Vishnevsky, Valentine P. and Chekina, Viktoriia D.}
}
@article {2018,
	title = {Robotic process automation},
	journal = {Business \& Information Systems Engineering},
	volume = {60},
	year = {2018},
	month = {Jan-08-2018},
	pages = {269 - 272},
	issn = {2363-7005},
	doi = {10.1007/s12599-018-0542-4},
	author = {van der Aalst, Wil M. P. and Bichler, Martin and Heinzl, Armin}
}
@article {2018,
	title = {Robotic Process Automation for Auditing},
	journal = {Journal of Emerging Technologies in Accounting},
	volume = {15},
	year = {2018},
	month = {Jan-07-2018},
	pages = {1 - 10},
	issn = {1554-1908},
	doi = {10.2308/jeta-10589},
	author = {Moffitt, Kevin C. and Rozario, Andrea M. and Vasarhelyi, Miklos A.}
}
@article {2018,
	title = {Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms},
	journal = {Research Policy},
	volume = {47},
	year = {2018},
	month = {Jan-11-2018},
	pages = {1762 - 1776},
	issn = {00487333},
	doi = {10.1016/j.respol.2018.06.008},
	author = {Van Roy, Vincent and V{\'e}rtesy, D{\'a}niel and Vivarelli, Marco}
}
@conference {2018,
	title = {Towards a Sociological Conception of Artificial Intelligence},
	booktitle = {Artificial General Intelligence (AGI)},
	year = {2018},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Social sciences have been always formed and influenced by the development of society, adjusting the conceptual, methodological, and theoretical frameworks to emerging social phenomena. In recent years, with the leap in the advancement of Artificial Intelligence (AI) and the proliferation of its everyday applications, "non-human intelligent actors" are increasingly becoming part of the society. This is manifested in the evolving realms of smart home systems, autonomous vehicles, chatbots, intelligent public displays, etc. In this paper, we present a prospective research project that takes one of the pioneering steps towards establishing a "distinctively sociological" conception of AI. Its first objective is to extract the existing conceptions of AI as perceived by its technological developers and (possibly differently) by its users. In the second part, capitalizing on a set of interviews with experts from social science domains, we will explore the new imaginable conceptions of AI that do not originate from its technological possibilities but rather from societal necessities. The current formal ways of defining AI are grounded in the technological possibilities, namely, machine learning methods and neural network models. Buy what exactly is AI as a social phenomenon, which may act on its own, can be blamed responsible for ethically problematic behavior, or even endanger people{\textquoteright}s employment? We argue that such conceptual investigation is a crucial step for further empirical studies of phenomena related to AI{\textquoteright}s position in current societies, but also will open up ways for critiques of new technological advancements with social consequences in mind from the outset.},
	keywords = {artificial intelligence, Social sciences, Sociology},
	doi = {10.1007/978-3-319-97676-1_13},
	author = {Jakub Mlynar and Hamed S. Alavi and Himanshu Verma and Lorenzo Cantoni}
}
@article {2017,
	title = {The AI detectives},
	volume = {357},
	year = {2017},
	month = {Jul-07-2017},
	pages = {22 - 27},
	issn = {0036-8075},
	doi = {10.1126/science.357.6346.22},
	author = {Voosen, Paul}
}
@article {2017,
	title = {AI has become so popular in picking stocks that it{\textquoteright}s become ineffective},
	year = {2017},
	note = {<p>Everyone mining the similar data, neutralizing its alpha</p>},
	month = {10/2017},
	url = {https://www.marketwatch.com/story/ai-has-become-so-popular-in-picking-stocks-that-its-become-ineffective-2017-10-06},
	author = {Ryan Vlastelica}
}
@proceedings {2017,
	title = {Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study},
	volume = {742},
	year = {2017},
	pages = {65 - 71},
	publisher = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-66962-5},
	issn = {1865-0929},
	doi = {10.1007/978-3-319-66963-2_7},
	author = {Aguirre, Santiago and Rodriguez, Alejandro},
	editor = {Figueroa-Garc{\'\i}a, Juan Carlos and L{\'o}pez-Santana, Eduyn Ramiro and Villa-Ram{\'\i}rez, Jos{\'e} Luis and Ferro-Escobar, Roberto}
}
@conference {2017,
	title = {Data tracking in search of workflows},
	booktitle = {the 2017 ACM ConferenceProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW {\textquoteright}17},
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