@article {9998,
	title = {Artificial intelligence in information systems: State of the art and research roadmap},
	journal = {Communications of the Association for Information Systems (CAIS)},
	volume = {50},
	year = {2022},
	abstract = {<p>Many would argue that artificial intelligence (AI) is not just a technology but represents a paradigmatic shift in the relationship between humans and machines. Much of the literature assumes that AI-powered practices are substantially different and profoundly changes organizational structures, communication, affordances, and ecosystems. However, research in AI is often fragmented and lacks clarity. While the Information Systems (IS) field can play a pivotal role in the emergence and use of AI, there is a need for a clear direction that specifies how IS can contribute and what are to be the key research themes and questions. This paper draws on a PDW at ICIS 2020 and the discussions that followed. It summarizes and synthesizes five decades of the impact of AI on organizational practices, providing views from various perspectives. It identifies weaknesses in the current AI literature as measured against conceptual clarity, theoretical glue, cumulative tradition, parsimony, and applicability. The paper concludes by identifying direct actions that the IS research community can undertake to address these issues. The final contribution is a next-step research agenda to guide AI research in the coming years.</p>},
	doi = {10.17705/1CAIS.05017},
	attachments = {https://waim.network/sites/crowston.syr.edu/files/Artificial\%20Intelligence\%20in\%20Information\%20Systems\%20State\%20of\%20the\%20Art.pdf},
	author = {P{\"a}r J. {\r A}gerfalk and Kieran Conboy and Kevin Crowston and Sirkka L. Jarvenpaa and Jenny Eriksson Lundstr{\"o}m and Patrick Mikalef and Sudha Ram}
}
@conference {Dietzmann2020,
	title = {Assessing the Business Impact of Artificial Intelligence},
	booktitle = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
	volume = {3},
	year = {2020},
	pages = {5170{\textendash}5179},
	abstract = {El autor propone la creaci{\'o}n de una agencia que certificque los procesos de IA. El no certificado RCO. Tambien habla de las caracter{\'\i}sticas de la IA y la dificutlad para regularlas. Sustenta cual debe ser el ente encargado de regular la IA. Tiene en cuenta la historia de la IA y su evaluci{\'o}n en el mercado.},
	isbn = {9780998133133},
	doi = {10.24251/hicss.2020.635},
	author = {Dietzmann, Christian and Alt, Rainer}
}
@article {Acemoglu2020,
	title = {Competing with Robots: Firm-Level Evidence from France},
	journal = {AEA Papers and Proceedings},
	volume = {110},
	year = {2020},
	pages = {383{\textendash}388},
	abstract = {We study the firm-level implications of robot adoption in France. Of 55,390 firms in our sample, 598 adopted robots between 2010 and 2015, but these firms accounted for 20 percent of manufacturing employment. Adopters experienced significant declines in labor shares, the share of production workers in employment, and increases in value added and productivity. They expand their overall employment as well. However, this expansion comes at the expense of competitors, leading to an overall negative association between adoption and employment. Robot adoption has a large impact on the labor share because adopters are larger and grow faster than their competitors.},
	keywords = {automation, competition, j23, j24, jel codes, l11, labor share, manufacturing, productivity, reallocation, robots, tasks},
	issn = {2574-0768},
	doi = {10.1257/pandp.20201003},
	author = {Acemoglu, Daron and Lelarge, Claire and Restrepo, Pascual}
}
@article {Abeliansky2020,
	title = {The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation},
	journal = {IZA Discussion Paper Series},
	number = {12962},
	year = {2020},
	keywords = {demography, labor, unemployment},
	url = {www.iza.org},
	author = {Abeliansky, Ana and Algur, Eda and Bloom, David E and Prettner, Klaus}
}
@article {Abeliansky2020,
	title = {The Future of Work: Meeting the Global Challenge of Demographic Change and Automation},
	journal = {International Labour Review},
	number = {April},
	year = {2020},
	pages = {1{\textendash}28},
	abstract = {We explore future job creation needs under conditions of demographic, economic, and technological change. First, we estimate the implications for job creation in 2020{\textendash}2030 of population growth, changes in labor force participation, and the achievement of target unemployment rates, by age and gender. Second, we analyze the job creation needs by country income group. Finally, we examine the effects of accelerated automation. Overall, shifting demographics, changing labor force participation rates, reductions in unemployment to target levels of 8/4 percent (youth/adults), and automation combine to require the creation of approximately 340 million jobs in 2020{\textendash}2030.},
	issn = {0020-7780},
	doi = {10.1111/ilr.12168},
	author = {Abeliansky, Ana L. and Algur, Eda and Bloom, David E and Prettner, Klaus}
}
@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}
}
@conference {Azarova2020,
	title = {Key Advantages and Risks of Implementing Artificial Intelligence in the Activities of Professional Communicators},
	booktitle = {Proceedings of the 2020 IEEE Communication Strategies in Digital Society Seminar, ComSDS 2020},
	year = {2020},
	pages = {82{\textendash}86},
	abstract = {Nowadays we observe a wide penetration of digital technologies into communication experts practice. Literature review demonstrates a great interest of both technical and humanitarian scholars to this subject. The research results, obtained by opinion survey (young adults of 19-24 years old), illustrate possible pragmatic and ethical effects of AI applications as well as their advantages and risks.},
	keywords = {AI technologies risks, artificial intelligence, digital technologies, professional communicators},
	isbn = {9781728164410},
	doi = {10.1109/ComSDS49898.2020.9101238},
	author = {Azarova, Liudmila and Kudryavtseva, Maria and Sharakhina, Larisa}
}
@article {Arduengo2020,
	title = {The Robot Economy : Here It Comes},
	journal = {International Journal of Social Robotics},
	number = {July},
	year = {2020},
	publisher = {Springer Netherlands},
	keywords = {blockchain, Cloud robotics, Intelligent robots, IoRT, Robot economy},
	issn = {1875-4805},
	doi = {10.1007/s12369-020-00686-1},
	url = {https://doi.org/10.1007/s12369-020-00686-1},
	author = {Arduengo, Miguel and Sentis, Luis}
}
@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 = {AI, robots and jobs: Estimation and implications},
	year = {2019},
	note = {{\textbullet} What AI can and cannot do
{\textbullet} Dire prediction
{\textbullet} Estimation methods and results
{\textbullet} Policy implications
{\textbullet} Case of Singapore},
	url = {https://ehelf.nu.edu.kz/wp-content/uploads/2019/06/1-Eduardo-Araral-GSPP.pdf},
	author = {Eduardo Araral}
}
@article {2019,
	title = {The ambiguous labor market impact of automating prediction},
	year = {2019},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w25619},
	author = {Agrawal, Ajay and Gans, Joshua and Goldfarb, Avi}
}
@article {2019,
	title = {Artificial intelligence and big data in entrepreneurship: a new era has begun},
	journal = {Small Business Economics},
	year = {2019},
	month = {Jun-06-2019},
	issn = {0921-898X},
	doi = {10.1007/s11187-019-00202-4},
	author = {Obschonka, Martin and Audretsch, David B.}
}
@article {2019,
	title = {Artificial intelligence and the future of labor demand},
	year = {2019},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w25682},
	author = {Acemoglu, Daron and Restrepo, Pascual}
}
@article {2019,
	title = {Artificial Intelligence and the Future of the Drug Safety Professional},
	journal = {Drug Safety},
	volume = {42},
	year = {2019},
	month = {Jan-04-2019},
	pages = {491 - 497},
	issn = {0114-5916},
	doi = {10.1007/s40264-018-0746-z},
	author = {Danysz, Karolina and Cicirello, Salvatore and Mingle, Edward and Assuncao, Bruno and Tetarenko, Niki and Mockute, Ruta and Abatemarco, Danielle and Widdowson, Mark and Desai, Sameen}
}
@article {2019,
	title = {Automation and new tasks: How technology displaces and reinstates labor},
	year = {2019},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w25684},
	author = {Acemoglu, Daron and Restrepo, Pascual}
}
@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 = {Digitalization and the future of work: Macroeconomic consequences},
	year = {2019},
	publisher = {ZEW - Leibniz-Zentrum f{\"u}r Europ{\"a}ische Wirtschaftsforschung},
	abstract = {Computing power continues to grow at an enormous rate. Simultaneously, more and better data is increasingly available and Machine Learning methods have seen significant breakthroughs in the recent past. All this pushes further the boundary of what machines can do. Nowadays increasingly complex tasks are automatable at a precision which seemed infeasible only few years ago. The examples range from voice and image recognition, playing Go, to self-driving vehicles. Machines are able to perform more and more manual and also cognitive tasks that previously only humans could do. As a result of these developments, some argue that large shares of jobs are "at risk of automation", spurring public fears of massive job-losses and technological unemployment. This chapter discusses how new digital technologies might affect the labor market in the near future. First, the chapter discusses estimates of automation potentials, showing that many estimates are severely upward biased because they ignore that workers in seemingly automatable occupations already take over hard-to-automate tasks. Secondly, it highlights that these numbers only refer to what theoretically could be automated and that this must not be equated with job-losses or employment effects - a mistake that is done often in the public debate. Thirdly, the chapter develops scenarios on how digitalization is likely to affect the German labor market in the next five years and derives implications for policy makers on how to shape the future of work. Germany is an interesting case to study, as it is a developed country at the technological frontier. In particular, the main challenge will not be the number, but the structure of jobs and the corresponding need for supply side adjustments to meet the shift in demand both within and between occupations and sectors.},
	keywords = {automation, Digitalization, Inequality, unemployment},
	url = {http://hdl.handle.net/10419/200063},
	author = {Melanie Arntz and Terry Gregory and Ulrich Zierahn}
}
@book {2019,
	title = {How artificial intelligence and machine learning can impact market design},
	year = {2019},
	pages = {567 - 586},
	publisher = {University of Chicago Press},
	organization = {University of Chicago Press},
	isbn = {9780226613338},
	doi = {10.7208/chicago/9780226613475.003.0023},
	author = {Agrawal, Ajay and Gans, Joshua and Goldfarb, Avi}
}
@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 = {Synthesis of Strategies for Robotic Process Automation},
	year = {2019},
	url = {http://ceur-ws.org/Vol-2400/paper-53.pdf},
	author = {Simone Agostinelli}
}
@article {Frank2019,
	title = {Toward understanding the impact of artificial intelligence on labor},
	journal = {Proceedings of the National Academy of Sciences},
	volume = {116},
	year = {2019},
	month = {apr},
	pages = {6531{\textendash}6539},
	abstract = {<p>Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a renewed call for policy efforts to address the consequences of technological change. In this paper we discuss the barriers that inhibit scientists from measuring the effects of AI and automation on the future of work. These barriers include the lack of high-quality data about the nature of work (e.g., the dynamic requirements of occupations), lack of empirically informed models of key microlevel processes (e.g., skill substitution and human{\textendash}machine complementarity), and insufficient understanding of how cognitive technologies interact with broader economic dynamics and institutional mechanisms (e.g., urban migration and international trade policy). Overcoming these barriers requires improvements in the longitudinal and spatial resolution of data, as well as refinements to data on workplace skills. These improvements will enable multidisciplinary research to quantitatively monitor and predict the complex evolution of work in tandem with technological progress. Finally, given the fundamental uncertainty in predicting technological change, we recommend developing a decision framework that focuses on resilience to unexpected scenarios in addition to general equilibrium behavior.</p>},
	issn = {0027-8424},
	doi = {10.1073/pnas.1900949116},
	url = {http://www.pnas.org/lookup/doi/10.1073/pnas.1900949116},
	author = {Frank, Morgan R and Autor, David and Bessen, James E and Brynjolfsson, Erik and Cebrian, Manuel and Deming, David J and Feldman, Maryann and Groh, Matthew and Lobo, Jos{\'e} and Moro, Esteban and Wang, Dashun and Youn, Hyejin and Rahwan, Iyad}
}
@article {2019,
	title = {Towards an AI economy that works for all},
	year = {2019},
	month = {02/2019},
	keywords = {ethics},
	url = {https://www.keystoneresearch.org/sites/default/files/FOW_TowardAIEconomyForAllFinalEdit.pdf},
	author = {Stephen Herzenberg and John Alic}
}
@article {2019,
	title = {Transforming the communication between citizens and government through AI-guided chatbots},
	journal = {Government Information Quarterly},
	volume = {36},
	year = {2019},
	month = {Jan-04-2019},
	pages = {358 - 367},
	issn = {0740624X},
	doi = {10.1016/j.giq.2018.10.001},
	url = {https://doi.org/10.1016/j.giq.2018.10.001},
	author = {Androutsopoulou, Aggeliki and Karacapilidis, Nikos and Loukis, Euripidis and Charalabidis, Yannis}
}
@article {2018,
	title = {10 examples of Artificial Intelligence you{\textquoteright}re using in daily life},
	year = {2018},
	month = {09/2018},
	url = {https://beebom.com/examples-of-artificial-intelligence/},
	author = {Rachit Agarwal}
}
@article {2018,
	title = {Accounting for the neglected dimensions of AI progress},
	journal = {data-efficient ML},
	year = {2018},
	url = {https://arxiv.org/abs/1806.00610},
	author = {Fernando Martine-Plumed and Shahar Avin and Miles Brundage and Allan Dafoe and Sean O hEigeartaigh and Jos{\'e} Hern{\'a}ndez-Orallo}
}
@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 = {Artificial Intelligence: A Case Study on Risk Mitigation},
	journal = {International Journal of Computer Science and Network Security},
	volume = {18},
	year = {2018},
	month = {04/2018},
	pages = {9-12},
	abstract = {Artificial intelligence technologies are expanding at an extraordinary rate with wide range of applications from machine translation to medical image analysis. Many applications are being developed and there is no doubt that in the near future this will create substantial risk for humanity. In addition, Artificial intelligence is a dual use are of technology as it can be used toward useful of harmful ends, for example autonomous drones can be used to deliver packages faster and easier and on the other hand, they can be used to deliver explosives. This literature review research investigates different types of artificial intelligence risks and proposes ways to mitigate these risks.},
	keywords = {AI application, artificial intelligence, Risk mitigation},
	author = {Ahmed AL-Gindy}
}
@article {2018,
	title = {Artificial Intelligence in Cardiology},
	journal = {Journal of the American College of Cardiology},
	volume = {71},
	year = {2018},
	month = {Jan-06-2018},
	pages = {2668 - 2679},
	issn = {07351097},
	doi = {10.1016/j.jacc.2018.03.521},
	author = {Johnson, Kipp W. and Torres Soto, Jessica and Glicksberg, Benjamin S. and Shameer, Khader and Miotto, Riccardo and Ali, Mohsin and Ashley, Euan and Joel T. Dudley}
}
@article {2018,
	title = {Artificial intelligence, machine learning and health systems},
	journal = {Journal of Global Health},
	volume = {8},
	year = {2018},
	month = {Sep-10-2019},
	issn = {2047-2978},
	doi = {10.7189/jogh.08.020303},
	author = {Panch, Trishan and Szolovits, Peter and Atun, Rifat}
}
@article {2018,
	title = {Automation and the future of work},
	journal = {Centre for International Governance Innovation},
	year = {2018},
	url = {https://www.cigionline.org/publications/automation-and-future-work-scenarios-and-policy-options},
	author = {Joel Blit and Samantha St. Amand and Joanna Wajda}
}
@article {2018,
	title = {Is automation labor-displacing? Productivity growth, employment, and the labor share},
	year = {2018},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w24871},
	author = {Autor, David and Salomons, Anna}
}
@article {2018,
	title = {Boundary spanning at the science{\textendash}policy interface: the practitioners{\textquoteright} perspectives},
	journal = {Sustainability Science},
	volume = {13},
	year = {2018},
	month = {Jan-07-2018},
	pages = {1175 - 1183},
	issn = {1862-4065},
	doi = {10.1007/s11625-018-0550-9},
	author = {Bednarek, A. T. and Wyborn, C. and Cvitanovic, C. and Meyer, R. and Colvin, R. M. and Addison, P. F. E. and Close, S. L. and Curran, K. and Farooque, M. and Goldman, E. and Hart, D. and Mannix, H. and McGreavy, B. and Parris, A. and Posner, S. and Robinson, C. and Ryan, M. and Leith, P.}
}
@article {2018,
	title = {Character qualities and the imagination age},
	journal = {Creative Education},
	volume = {09},
	year = {2018},
	month = {Jan-01-2018},
	pages = {152 - 164},
	issn = {2151-4755},
	doi = {10.4236/ce.2018.92012},
	author = {Alvarez, Mar{\'\i}a Garc{\'\i}a}
}
@book {2018,
	title = {A critical review of the politics of artificial intelligent machines, alienation and the existential risk threat to America{\textquoteright}s labour force},
	volume = {10963},
	year = {2018},
	pages = {217 - 232},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-95170-6},
	issn = {0302-9743},
	doi = {10.1007/978-3-319-95171-3_18},
	author = {Wogu, Ikedinachi Ayodele and Misra, Sanjay and Assibong, Patrick and Adewumi, Adewole and Damasevicius, Robertas and Maskeliunas, Rytis},
	editor = {Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Stankova, Elena and Torre, Carmelo M. and Rocha, Ana Maria A.C. and Taniar, David and Apduhan, Bernady O. and Tarantino, Eufemia and Ryu, Yeonseung}
}
@article {2018,
	title = {Digital economy and the models of income distribution in the society},
	journal = {SHS Web of Conferences},
	volume = {44},
	year = {2018},
	month = {Jan-01-2018},
	pages = {00005},
	doi = {10.1051/shsconf/20184400005},
	author = {Akaev, Askar and Rudskoi, Andrew and Devezas, Tessaleno},
	editor = {Sarygulov, A. and Sergeev, V. and Ungv{\'a}ri, L. and Semmler, W.}
}
@article {2018,
	title = {Digital economy: backgrounds, main drivers and new challenges},
	journal = {SHS Web of Conferences},
	volume = {44},
	year = {2018},
	month = {Jan-01-2018},
	pages = {00006},
	doi = {10.1051/shsconf/20184400006},
	author = {Akaev, Askar and Sarygulov, Askar and Sokolov, Valentin},
	editor = {Sarygulov, A. and Sergeev, V. and Ungv{\'a}ri, L. and Semmler, W.}
}
@article {2018,
	title = {Economic policy for artificial intelligence},
	number = {24690},
	year = {2018},
	month = {06/2018},
	abstract = {Recent progress in artificial intelligence (AI) {\textendash} a general purpose technology affecting many industries - has been focused on advances in machine learning, which we recast as a quality-adjusted drop in the price of prediction. How will this sharp drop in price impact society? Policy will influence the impact on two key dimensions: diffusion and consequences. First, in addition to subsidies and IP policy that will influence the diffusion of AI in ways similar to their effect on other technologies, three policy categories - privacy, trade, and liability - may be uniquely salient in their influence on the diffusion patterns of AI. Second, labor and antitrust policies will influence the consequences of AI in terms of employment, inequality, and competition.},
	keywords = {economics of automation},
	url = {https://econpapers.repec.org/paper/nbrnberwo/24690.htm},
	author = {Ajay Agrawal and Joshua Gans and Avi Goldfarb}
}
@article {2018,
	title = {Economic policy for Artificial Intelligence},
	year = {2018},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w24690},
	author = {Agrawal, Ajay and Gans, Joshua and Goldfarb, Avi}
}
@article {2018,
	title = {Experimental evidence on complimentarities between human capital and machine learning},
	year = {2018},
	month = {01/2018},
	keywords = {economics of automation},
	url = {https://hbswk.hbs.edu/item/different-strokes-for-different-folks-experimental-evidence-on-complementarities-between-human-capital-and-machine-learning},
	author = {Prithwiraj Choudhury and Evan Starr and Rajshree Agarwal}
}
@article {2018,
	title = {Experimental evidence on productivity complementarities},
	number = {18-065},
	year = {2018},
	publisher = {Harvard Business School Working Paper},
	keywords = {Human Capital, Performance Productivity, Technological Innovation, Technology Adoption},
	url = {https://www.hbs.edu/faculty/Pages/item.aspx?num=53855},
	author = {Prithwiraj Choudhury}
}
@article {2018,
	title = {Explaining the decline in the u. S. Employment-to-population ratio: A review of the evidence},
	year = {2018},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w24333},
	author = {Abraham, Katharine and Kearney, Melissa}
}
@article {2018,
	title = {Explanation to Avert Surprise},
	journal = {IUI Workshops},
	year = {2018},
	url = {https://www.semanticscholar.org/paper/Explanation-to-Avert-Surprise-Gervasio-Myers/8e3b3d9e9075095a87c96fa9690d2ccbf127234e},
	author = {Melinda Gervasio and Karen Myers and Eric Yeh and Boone Adkins}
}
@article {2018,
	title = {Future of artificial intelligence: Japan{\textquoteright}s path to growth},
	journal = {American Journal Of Modern Physics And Application},
	volume = {5},
	year = {2018},
	month = {05/2018},
	pages = {48-52},
	url = {https://www.researchgate.net/publication/326625497_Future_of_Artificial_Intelligence_Japan{\textquoteright}s_Path_to_Growth_Email_address},
	author = {Salman Abdou and Nadeen Nustafa Kamal}
}
@article {2018,
	title = {The impact of technology and globalization on employment and equity},
	journal = {International Journal of Global Sustainability},
	volume = {3},
	year = {2018},
	month = {Oct-11-2019},
	pages = {49},
	doi = {10.5296/ijgs.v3i1.14127},
	author = {Arogyaswamy, Bernard and Hunter, John}
}
@article {2018,
	title = {Implications of technology for growth, factor shares, and employment},
	journal = {American Economic Review},
	volume = {108},
	year = {2018},
	month = {Jan-06-2018},
	pages = {1488 - 1542},
	issn = {0002-8282},
	doi = {10.1257/aer.20160696},
	author = {Acemoglu, Daron and Restrepo, Pascual}
}
@article {2018,
	title = {Improving palliative care with deep learning},
	journal = {BMC Medical Informatics and Decision Making},
	volume = {18},
	year = {2018},
	month = {Jan-12-2018},
	doi = {10.1186/s12911-018-0677-8},
	author = {Avati, Anand and Jung, Kenneth and Harman, Stephanie and Downing, Lance and Ng, Andrew and Shah, Nigam H.}
}
@article {2018,
	title = {The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions},
	journal = {Computers in Human Behavior},
	volume = {85},
	year = {2018},
	month = {Jan-08-2018},
	pages = {183 - 189},
	issn = {07475632},
	doi = {10.1016/j.chb.2018.03.051},
	author = {Araujo, Theo}
}
@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 = {Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)},
	journal = {Systematic Reviews},
	year = {2018},
	month = {2018},
	publisher = {Springer},
	type = {Review},
	abstract = {Systematic reviews (SR) are vital to health care, but have become complicated and time-consuming, due to the rapid expansion of evidence to be synthesised. Fortunately, many tasks of systematic reviews have the potential to be automated or may be assisted by automation. Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. Automation tools need to be able to work together, to exchange data and results. Therefore, we initiated the International Collaboration for the Automation of Systematic Reviews (ICASR), to successfully put all the parts of automation of systematic review production together. The first meeting was held in Vienna in October 2015. We established a set of principles to enable tools to be developed and integrated into toolkits.
This paper sets out the principles devised at that meeting, which cover the need for improvement in efficiency of SR tasks, automation across the spectrum of SR tasks, continuous improvement, adherence to high quality standards, flexibility of use and combining components, the need for a collaboration and varied skills, the desire for open source, shared code and evaluation, and a requirement for replicability through rigorous and open evaluation.
Automation has a great potential to improve the speed of systematic reviews. Considerable work is already being done on many of the steps involved in a review. The {\textquoteright}Vienna Principles{\textquoteright} set out in this paper aim to guide a more coordinated effort which will allow the integration of work by separate teams and build on the experience, code and evaluations done by the many teams working across the globe.},
	keywords = {automation, Collaboration, Systematic review},
	doi = {10.1186/s13643-018-0740-7},
	author = {Elaine Beller and Justin Clark and Guy Tsafnat and Clive Adams and Heinz Diehl and Hans Lund and Mourad Ouzzani and Kristina Thayer and James Thomas and Tari Turner and Jun Xia and Karen Robinson and Paul Glasziou}
}
@article {2018,
	title = {Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)},
	journal = {Systematic Reviews},
	volume = {7},
	year = {2018},
	month = {Jan-12-2018},
	keywords = {science},
	doi = {10.1186/s13643-018-0740-7},
	author = {Elaine Beller and Justin Clark and Guy Tsafnat and Clive Adams and Heinz Diehl and Hans Lund and Mourad Ouzzani and Kristina Thayer and James Thomas and Tari Turner and Jun Xia and Karen Robinson and Paul Glasziou}
}
@article {2018,
	title = {Managing talented worker in the era of new psychological contract},
	journal = {Jurnal Aplikasi Manajemen},
	volume = {16},
	year = {2018},
	month = {Jan-03-2018},
	pages = {20 - 26},
	issn = {16935241},
	doi = {10.21776/ub.jam.2018.016.01.03},
	author = {Haryadi, Haryadi and Anggraeni, Ade Irma and Ibrahim, Daing Nasir}
}
@article {2018,
	title = {The operating system for the digital enterprise},
	journal = {Proceedings of the International Conference on Business Excellence},
	volume = {12},
	year = {2018},
	month = {Jan-05-2018},
	pages = {54 - 69},
	doi = {10.2478/picbe-2018-0007},
	author = {Anagnoste, Sorin}
}
@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 = {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.}
}
@proceedings {2018,
	title = {Recent advances in social \& cognitive robotics and imminent ethical challenges},
	volume = {211},
	year = {2018},
	keywords = {ethics},
	url = {https://www.atlantis-press.com/proceedings/rais-18/25902731},
	author = {Ali Meghdari and Minoo Alemi}
}
@article {aroyo2018reports,
	title = {Reports of the Workshops Held at the Sixth AAAI Conference on Human Computation and Crowdsourcing},
	journal = {AI Magazine},
	volume = {39},
	year = {2018},
	pages = {57{\textendash}63},
	author = {Aroyo, Lora and Dumitrache, Anca and Jeffrey V Nickerson and Lease, Matthew and Michelucci, Pietro}
}
@article {2018,
	title = {Robot companions: A legal and ethical analysis},
	journal = {The Information Society},
	volume = {34},
	year = {2018},
	month = {Mar-05-2020},
	pages = {130 - 140},
	issn = {0197-2243},
	doi = {10.1080/01972243.2018.1444249},
	author = {Bertolini, Andrea and Aiello, Giuseppe}
}
@article {2018,
	title = {System architecture of a driverless electric car in the grand cooperative driving challenge},
	journal = {IEEE Intelligent Transportation Systems Magazine},
	volume = {10},
	year = {2018},
	month = {Jan-21-2018},
	pages = {47 - 59},
	issn = {1939-1390},
	doi = {10.1109/MITS.2017.2776135},
	author = {Xu, Philippe and Dherbomez, Gerald and Hery, Elwan and Abidli, Abderrahmen and Bonnifait, Philippe}
}
@article {2018,
	title = {Technology, productivity and employment: an empirical analysis of indian industries},
	journal = {Journal of Business Thought},
	volume = {9},
	year = {2018},
	month = {Jan-04-2020},
	pages = {1 - 10},
	doi = {10.18311/jbt/2018/21173},
	author = {Aggarwal, Suresh Chand}
}
@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 {2018,
	title = {Transparency and fairness in machine learning applications},
	journal = {Texas A\&M Journal of Property Law},
	volume = {4},
	year = {2018},
	url = {https://scholarship.law.tamu.edu/cgi/viewcontent.cgi?article=1079\&context=journal-of-property-law},
	author = {Jim Shook and Robyn Smith and Alex Antonio}
}
@inbook {2017,
	title = {Agents as collaborating team members},
	year = {2017},
	month = {09/2017},
	publisher = {EBSCO},
	organization = {EBSCO},
	keywords = {bots},
	url = {https://www.taylorfrancis.com/books/e/9781315593166/chapters/10.1201/9781315593166-7},
	author = {Abhijit V. Deshmukh and Sara A.McComb and Christian Wernz}
}
@article {2017,
	title = {Artificial intelligence in research},
	journal = {Science},
	volume = {357},
	year = {2017},
	month = {Jul-07-2017},
	pages = {28 - 30},
	issn = {0036-8075},
	doi = {10.1126/science.357.6346.28},
	author = {Musib, Mrinal and Wang, Feng and Tarselli, Michael A. and Yoho, Rachel and Yu, Kun-Hsing and Andr{\'e}s, Rigoberto Medina and Greenwald, Noah F. and Pan, Xubin and Lee, Chien-Hsiu and Zhang, Jian and Dutton-Regester, Ken and Johnston, Jake Wyatt and Sharafeldin, Icell Mahmoud}
}
@article {2017,
	title = {Artificial Intelligence: The next digital frontier},
	year = {2017},
	url = {https://www.mckinsey.com/~/media/McKinsey/Industries/Advanced\%20Electronics/Our\%20Insights/How\%20artificial\%20intelligence\%20can\%20deliver\%20real\%20value\%20to\%20companies/MGI-Artificial-Intelligence-Discussion-paper.ashx},
	author = {Jaccques Bughin and Eric Hazan and Sree Ramaswamy and Michael Chui and Tera Allas and Peter Dahlstrom and Nicolaus Henke and Monica Trench}
}
@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},
	year = {2017},
	pages = {2153 - 2165},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Portland, Oregon, USANew York, New York, USA},
	isbn = {9781450343350},
	doi = {10.1145/2998181.2998296},
	author = {Holten M{\o}ller, Naja L. and Bj{\o}rn, Pernille and Villumsen, Jonas Christoffer and Hancock, Tine C. Hansen and Aritake, Toshimitsu and Tani, Shigeyuki}
}
@conference {RN30645,
	title = {Examining crowd work and gig work through the historical lens of piecework},
	booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems},
	year = {2017},
	pages = {4599-4616},
	publisher = {ACM},
	organization = {ACM},
	type = {Conference Proceedings},
	isbn = {1450346553},
	author = {Alkhatib, Ali and Michael S. Bernstein and Levi, Margaret}
}
@article {2017,
	title = {An experimental comparison of Chatbot and Human task partners},
	journal = {Computers in Human Behavior},
	volume = {75},
	year = {2017},
	month = {Jan-10-2017},
	pages = {461 - 468},
	issn = {07475632},
	doi = {10.1016/j.chb.2017.05.045},
	author = {Fryer, Luke K. and Ainley, Mary and Thompson, Andrew and Gibson, Aaron and Sherlock, Zelinda}
}
@article {657,
	title = {Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science},
	journal = {Classical and Quantum Gravity},
	volume = {34},
	year = {2017},
	pages = {064003},
	type = {Journal Article},
	doi = {10.1088/1361-6382/aa5cea},
	author = {Michael Zevin and Scott Coughlin and Sara Bahaadini and Emre Besler and Neda Rohani and Sarah Allen and Miriam Cabero and Kevin Crowston and Aggelos Katsaggelos and Shane Larson and Tae Kyoung Lee and Chris Lintott and Tyson Littenberg and Andrew Lundgren and Carsten Oesterlund and Joshua Smith and Laura Trouille and Vicky Kalogera}
}
@article {2017,
	title = {Revisiting the risk of automation},
	journal = {Economics Letters},
	volume = {159},
	year = {2017},
	month = {Jan-10-2017},
	pages = {157 - 160},
	issn = {01651765},
	doi = {10.1016/j.econlet.2017.07.001},
	author = {Arntz, Melanie and Gregory, Terry and Zierahn, Ulrich}
}
@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 = {What to expect from artificial intelligence},
	journal = { MIT SLOAN MANAGEMENT REVIEW },
	volume = {58},
	year = {2017},
	note = {To understand how advances in artificial intelligence are
likely to change the workplace {\textemdash} and the work of managers
{\textemdash} you need to know where AI delivers the most value.},
	url = {http://ilp.mit.edu/media/news_articles/smr/2017/58311.pdf},
	author = {Ajay Agrawal and Joshua S. Gans and Avi Goldfarb}
}
@article {2017,
	title = {Where is technology taking the economy},
	year = {2017},
	month = {10/2017},
	url = {mckinsey.com/business-functions/mckinsey-analytics/our-insights/where-is-technology-taking-the-economy},
	author = {W. Brian Arthur}
}
@article {2016,
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	month = {11/2016},
	url = {https://hbr.org/2016/11/how-artificial-intelligence-will-redefine-management},
	author = {Vegard Kolbjornsrud and Richard Amico and Robert J. Thomas}
}
@article {2016,
	title = {Implications of technology for growth, factor shares and employment},
	year = {2016},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w22252},
	url = {http://www.nber.org/papers/w22252.pdf},
	author = {Acemoglu, Daron and Restrepo, Pascual}
}
@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},
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}
@article {2015,
	title = {Artificial Intelligence and its Role in Near Future},
	volume = {JOURNAL OF L A T E X CLASS FILES, VOL. 14, NO. 8, AUGUST 2015},
	year = {2015},
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	author = {Jahanzaib Shabbir and Tarique Anwer}
}
@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 {2015,
	title = {Why Are There Still So Many Jobs? The History and Future of Workplace Automation},
	journal = {Journal of Economic Perspectives},
	volume = {29},
	year = {2015},
	pages = {3-30},
	issn = {0895-3309},
	doi = {10.1257/jep.29.3.3},
	url = {http://pubs.aeaweb.org/doi/10.1257/jep.29.3.3},
	author = {Autor, David H.}
}
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}
@conference {2011,
	title = {No sense of distance},
	booktitle = {the 2011 iConferenceProceedings of the 2011 iConference on - iConference {\textquoteright}11},
	year = {2011},
	pages = {159 - 165},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Seattle, WashingtonNew York, New York, USA},
	isbn = {9781450301213},
	doi = {10.1145/1940761.1940783},
	author = {Aragon, Cecilia R. and Poon, Sarah}
}
@conference {2009,
	title = {The changing face of digital science},
	booktitle = {the 27th international conference extended abstractsProceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA {\textquoteright}09},
	year = {2009},
	pages = {4819},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Boston, MA, USANew York, New York, USA},
	isbn = {9781605582474},
	doi = {10.1145/1520340.1520749},
	author = {Aragon, Cecilia R. and Poon, Sarah and Silva, Claudio T.}
}
@conference {2008,
	title = {Context-linked virtual assistants for distributed teams},
	booktitle = {the ACM 2008 conferenceProceedings of the ACM 2008 conference on Computer supported cooperative work - CSCW {\textquoteright}08},
	year = {2008},
	pages = {361},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {San Diego, CA, USANew York, New York, USA},
	isbn = {9781605580074},
	doi = {10.1145/1460563.1460623},
	author = {Poon, Sarah S. and Thomas, Rollin C. and Aragon, Cecilia R. and Lee, Brian}
}
@conference {RN30259,
	title = {Context-linked virtual assistants for distributed teams: an astrophysics case study},
	booktitle = {Proceedings of the ACM Conference on Computer Supported Cooperative Work},
	year = {2008},
	pages = {361{\textendash}370},
	type = {Conference Proceedings},
	isbn = {1605580074},
	author = {Poon, Sarah S and Thomas, Rollin C and Cecilia Aragon and Lee, Brian}
}
@article {RN30479,
	title = {The skill content of recent technological change: An empirical exploration},
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	volume = {118},
	number = {4},
	year = {2003},
	pages = {1279{\textendash}1333},
	type = {Journal Article},
	issn = {0033-5533},
	doi = {10.1162/003355303322552801},
	url = {http://apps.isiknowledge.com/InboundService.do?Func=Frame\&amp;product=WOS\&amp;action=retrieve\&amp;SrcApp=EndNote\&amp;Init=Yes\&amp;SrcAuth=ResearchSoft\&amp;mode=FullRecord\&amp;UT=WOS:000186624900004},
	author = {Autor, D. H. and Levy, F. and Murnane, R. J.}
}
@article {2000,
	title = {Technical change, inequality, and the labor market},
	year = {2000},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w7800},
	author = {Acemoglu, Daron}
}
@article {RN30476,
	title = {New technologies, new skills},
	journal = {California Management Review},
	volume = {29},
	number = {1},
	year = {1986},
	pages = {9{\textendash}28},
	type = {Journal Article},
	author = {Adler, Paul}
}
