@proceedings {petridis2023anglekindling,
	title = {AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models},
	year = {2023},
	doi = {10.1145/3544548.3580907},
	url = {https://savvaspetridis.github.io/papers/anglekindling.pdf},
	author = {Petridis, Savvas and Diakopoulos, Nicholas and Crowston, Kevin and Hansen, Mark and Henderson, Keren and Jastrzebski, Stan and Nickerson, Jefrey V and Chilton, Lydia B}
}
@booklet {Cebreros2020,
	title = {Automation Technologies and Employment at Risk : The Case of Mexico},
	year = {2020},
	publisher = {Banco de M{\'e}xico},
	author = {Cebreros, Alfonso and Heffner-Rodr{\'\i}guez, Aldo and Livas, Ren{\'e} and Puggioni, Daniela}
}
@conference {Martnez-Plumed2020,
	title = {Does AI qualify for the job? A bidirectional model mapping labour and AI intensities},
	booktitle = {AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society},
	year = {2020},
	pages = {94{\textendash}100},
	abstract = {In this paper we present a setting for examining the relation between the distribution of research intensity in AI research and the relevance for a range of work tasks (and occupations) in current and simulated scenarios. We perform a mapping between labour and AI using a set of cognitive abilities as an intermediate layer. This setting favours a two-way interpretation to analyse (1) what impact current or simulated AI research activity has or would have on labour-related tasks and occupations, and (2) what areas of AI research activity would be responsible for a desired or undesired effect on specific labour tasks and occupations. Concretely, in our analysis we map 59 generic labour-related tasks from several worker surveys and databases to 14 cognitive abilities from the cognitive science literature, and these to a comprehensive list of 328 AI benchmarks used to evaluate progress in AI techniques. We provide this model and its implementation as a tool for simulations. We also show the effectiveness of our setting with some illustrative examples.},
	keywords = {AI benchmarks, AI impact, AI intensity, Labour market, Simulation, tasks},
	isbn = {9781450371100},
	doi = {10.1145/3375627.3375831},
	author = {Mart{\textquoteright}nez-Plumed, Fernando and Tolan, Song{\textquoteright}l and Pesole, Annarosa and Hern{\textquoteright}ndez-Orallo, Jos{\'e} and Fern{\textquoteright}ndez-Mac{\textquoteright}as, Enrique and G{\textquoteright}mez, Emilia}
}
@booklet {Suran2020,
	title = {Frameworks for collective intelligence: A systematic literature review},
	howpublished = {ACM Computing Surveys},
	volume = {53},
	number = {1},
	year = {2020},
	pages = {1{\textendash}36},
	abstract = {Over the last few years, Collective Intelligence (CI) platforms have become a vital resource for learning, problem solving, decision-making, and predictions. This rising interest in the topic has to led to the development of several models and frameworks available in published literature. Unfortunately, most of these models are built around domain-specific requirements, i.e., they are often based on the intuitions of their domain experts and developers. This has created a gap in our knowledge in the theoretical foundations of CI systems and models, in general. In this article, we attempt to fill this gap by conducting a systematic review of CI models and frameworks, identified from a collection of 9,418 scholarly articles published since 2000. Eventually, we contribute by aggregating the available knowledge from 12 CI models into one novel framework and present a generic model that describes CI systems irrespective of their domains. We add to the previously available CI models by providing a more granular view of how different components of CI systems interact. We evaluate the proposed model by examining it with respect to six popular, ongoing CI initiatives available on the Web.},
	keywords = {collective intelligence, Crowdsourcing, Human computer interaction, Systematic literature review, Web 2.0, Wisdom of crowds},
	issn = {15577341},
	doi = {10.1145/3368986},
	author = {Suran, Shweta and Pattanaik, Vishwajeet and Draheim, Dirk}
}
@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 {McLeay2020,
	title = {Replaced by a Robot: Service Implications in the Age of the Machine},
	journal = {Journal of Service Research},
	year = {2020},
	abstract = {Service organizations, emboldened by the imperative to innovate, are increasingly introducing robots to frontline service encounters. However, as they augment or substitute human employees with robots, they may struggle to convince a distrusting public of their brand{\textquoteright}s ethical credentials. Consequently, this article develops and tests a holistic framework to ascertain a deeper understanding of customer perceptions of frontline service robots (FLSRs) than has previously been attempted. Our experimental studies investigate the effects of the (1) role (augmentation or substitution of human employees or no involvement) and (2) type (humanoid FLSR vs. self-service machine) of FLSRs under the following service contexts: (a) value creation model (asset-builder, service provider) and (b) service type (experience, credence). By empirically establishing our framework, we highlight how customers{\textquoteright} personal characteristics (openness-to-change and preference for ethical/responsible service provider) and cognitive evaluations (perceived innovativeness, perceived ethical/societal reputation, and perceived innovativeness-responsibility fit) influence the impact that FLSRs have on service experience and brand usage intent. Our findings operationalize and empirically support seminal frameworks from extant literature, as well as elaborate on the positive and negative implications of using robots to complement or replace service employees. Further, we consider managerial and policy implications for service in the age of machines.},
	keywords = {brand usage intent, ethical/societal reputation, service experience, service innovativeness, service robots},
	issn = {15527379},
	doi = {10.1177/1094670520933354},
	author = {McLeay, Fraser and Osburg, Victoria Sophie and Yoganathan, Vignesh and Patterson, Anthony}
}
@booklet {Riemer2020,
	title = {The robo-apocalypse plays out in the quality, not in the quantity of work},
	howpublished = {Journal of Information Technology},
	year = {2020},
	issn = {14664437},
	doi = {10.1177/0268396220923677},
	author = {Riemer, Kai and Peter, Sandra}
}
@article {Petersen2020,
	title = {The Role of Discretion in the Age of Automation},
	journal = {Computer Supported Cooperative Work: CSCW: An International Journal},
	volume = {29},
	number = {3},
	year = {2020},
	pages = {303{\textendash}333},
	abstract = {This paper examines the nature of discretion in social work in order to debunk myths dominating prevalent debates on digitisation and automation in the public sector. Social workers have traditionally used their discretion widely and with great autonomy, but discretion has increasingly come under pressure for its apparent subjectivity and randomness. In Denmark, our case in point, the government recently planned to standardise laws to limit or remove discretion where possible in order for automation of case management to gain a foothold. Recent studies have focused on discretion in the public sector, but few have examined it explicitly and as part of real cases. As a consequence, they often leave the myths about discretion unchallenged. Inspired by the literature on discretion and CSCW research on rules in action, this study reports on an empirical investigation of discretion in child protection services in Denmark. The results of our analysis provide a new understanding of discretion as a cooperative endeavour, based on consultation and skill, rather than an arbitrary or idiosyncratic choice. In this manner, our study contradicts the myth of discretion inherent in the automation agenda. Correspondingly, we ask for attention to be given to systems that integrate discretion with technology rather than seek to undermine it directly or get around it surreptitiously. In this age of automation, this is not only an important but also an urgent task for CSCW researchers to fulfil.},
	keywords = {Administrative work, automation, Casework, Decision-Making, Digital-ready legislation, Digitisation, Discretion, Rules in action, Social work},
	issn = {15737551},
	doi = {10.1007/s10606-020-09371-3},
	author = {Petersen, Anette C.M. and Christensen, Lars Rune and Hildebrandt, Thomas T.}
}
@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 = {Artificial Intelligence and Deep Learning: The Future of Medicine and Medical Practice},
	journal = { Journal of The Association of Physicians of India ■ Vol. 67 },
	year = {2019},
	month = {05/2019},
	url = {https://www.semanticscholar.org/paper/Artificial-Intelligence-and-Deep-Learning\%3A-The-of-Sanal-Paul/795dc72decfb12389bbf7076d82fef70421b9933},
	author = {Madhusudana Girija Sanal and Kolin Paul and Senthil Kumar and Nirmal Kumar Gangul}
}
@article {2019,
	title = {Behavioural artificial intelligence: An agenda for systematic empirical studies of artificial inference},
	journal = {AI \& SOCIETY},
	year = {2019},
	month = {Jun-12-2020},
	issn = {0951-5666},
	doi = {10.1007/s00146-019-00928-5},
	author = {Pedersen, Tore and Johansen, Christian}
}
@article {2019,
	title = {Can nurses remain relevant in a technologically advanced future?},
	journal = {International Journal of Nursing Sciences},
	volume = {6},
	year = {2019},
	month = {Jan-01-2019},
	pages = {106 - 110},
	issn = {23520132},
	doi = {10.1016/j.ijnss.2018.09.013},
	author = {Pepito, Joseph Andrew and Locsin, Rozzano}
}
@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 = {Does automation influence career decisions among South African students?},
	booktitle = {the South African Institute of Computer Scientists and Information Technologists 2019Proceedings of the South African Institute of Computer Scientists and Information Technologists 2019 on ZZZ - SAICSIT {\textquoteright}19},
	year = {2019},
	pages = {1 - 10},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Skukuza, South AfricaNew York, New York, USA},
	isbn = {9781450372657},
	doi = {10.1145/335110810.1145/3351108.3351137},
	author = {Mbilini, Sakhumzi N. and le Roux, Daniel B. and Parry, Douglas A.}
}
@book {2019,
	title = {The fourth industrial revolution: Trends and impacts on the world of work},
	year = {2019},
	pages = {177 - 194},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-94531-6},
	doi = {10.1007/978-3-319-94532-3_115},
	author = {Kim, Sang Yun},
	editor = {McGrath, Simon and Mulder, Martin and Papier, Joy and Suart, Rebecca}
}
@proceedings {2019,
	title = {The governance of artificial intelligence},
	year = {2019},
	month = {05/2019},
	keywords = {AI use cases},
	url = {https://www.bankofengland.co.uk/-/media/boe/files/speech/2019/managing-machines-the-governance-of-artificial-intelligence-speech-by-james-proudman},
	author = {James Proudman}
}
@proceedings {2019,
	title = {How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany},
	volume = {Lecture Notes in Computer Science 11685},
	year = {2019},
	pages = {233-247},
	publisher = {Springer International Publishing},
	address = {Cham},
	abstract = {Artificial intelligence (AI) technologies are on the rise in almost every aspect of society, business and government. Especially in government, it is of interest how the application of AI can be streamlined: at least, in a controlled environment, in order to be able to evaluate potential (positive and negative) impact. Unfortunately, reuse in development of AI applications and their evaluation results lack interoperability and transferability. One potential remedy to this challenge would be to apply standardized artefacts: not only on a technical level, but also on an organization or semantic level. This paper presents findings from a qualitative explorative case study on online citizen participation in Germany that reveal insights on the current standardization level of AI applications. In order to provide an in-depth analysis, the research involves evaluation of two particular AI approaches to natural language processing. Our findings suggest that standardization artefacts for streamlining AI application exist predominantly on a technical level and are still limited.},
	isbn = {978-3-030-27324-8},
	issn = {0302-9743},
	doi = {10.1007/978-3-030-27325-5},
	author = {Balta, Dian and Kuhn, Peter and Sellami, Mahdi and Kulus, Daniel and Lieven, Claudius and Krcmar, Helmut},
	editor = {Lindgren, Ida and Janssen, Marijn and Lee, Habin and Polini, Andrea and Rodr{\'\i}guez Bol{\'\i}var, Manuel Pedro and Scholl, Hans Jochen and Tambouris, Efthimios}
}
@article {2019,
	title = {The impact of emerging technologies on work: a review of the evidence and implications for the human resource function},
	journal = {Emerald Open Research},
	volume = {1},
	year = {2019},
	month = {Jan-01-2019},
	pages = {5},
	doi = {10.12688/emeraldopenres.12907.1},
	author = {Parry, Emma and Battista, Valentina}
}
@article {2019,
	title = {A machine is cheaper than a human for the same task},
	journal = {AI \& SOCIETY},
	year = {2019},
	month = {Feb-01-2019},
	issn = {0951-5666},
	doi = {10.1007/s00146-018-0874-0},
	author = {Pereira, Lu{\'\i}s Moniz}
}
@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 = {Managing Machines: The governance of artificial intelligence},
	year = {2019},
	url = {https://www.bankofengland.co.uk/speech/2019/james-proudman-speech-at-fca-conference-on-governance-in-banking-london},
	author = {James Proudman}
}
@article {2019,
	title = {Precarious lives: Job insecurity and well-being in rich democracies},
	journal = {Social Forces},
	volume = {97},
	year = {2019},
	month = {Jun-04-2019},
	pages = {e1 - e3},
	issn = {0037-7732},
	doi = {10.1093/sf/soz022},
	author = {Pugh, Allison J}
}
@article {2019,
	title = {The present and future of deep learning in radiology},
	journal = {European Journal of Radiology},
	volume = {114},
	year = {2019},
	month = {Jan-05-2019},
	pages = {14 - 24},
	issn = {0720048X},
	doi = {10.1016/j.ejrad.2019.02.038},
	url = {https://doi.org/10.1016/j.ejrad.2019.02.038},
	author = {Saba, Luca and Biswas, Mainak and Kuppili, Venkatanareshbabu and Cuadrado Godia, Elisa and Suri, Harman S. and Edla, Damodar Reddy and Omerzu, Toma{\v z} and Laird, John R. and Khanna, Narendra N. and Mavrogeni, Sophie and Protogerou, Athanasios and Sfikakis, Petros P. and Viswanathan, Vijay and Kitas, George D. and Nicolaides, Andrew and Gupta, Ajay and Suri, Jasjit S.}
}
@article {2019,
	title = {Questions for artificial intelligence in health care},
	journal = {JAMA},
	volume = {321},
	year = {2019},
	month = {Jan-01-2019},
	pages = {31},
	issn = {0098-7484},
	doi = {10.1001/jama.2018.18932},
	author = {Maddox, Thomas M. and Rumsfeld, John S. and Payne, Philip R. O.}
}
@book {2019,
	title = {Steps toward a scaffolding design framework},
	year = {2019},
	pages = {149 - 161},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-030-12333-8},
	issn = {1571-5035},
	doi = {10.1007/978-3-030-12334-5_5},
	author = {Correia, Ant{\'o}nio and Jameel, Shoaib and Paredes, Hugo and Fonseca, Benjamim and Schneider, Daniel},
	editor = {Khan, Vassillis-Javed and Papangelis, Konstantinos and Lykourentzou, Ioanna and Markopoulos, Panos}
}
@book {2019,
	title = {Technology and Work Worth Doing (Not Jobs) Post-AlphaGo: A World-Building Workshop on the Future of Artificial Intelligence},
	year = {2019},
	publisher = {RAND Corporation},
	organization = {RAND Corporation},
	doi = {10.7249/CF398},
	author = {Pendleton-Jullian, Ann and Lempert, Robert}
}
@article {2019,
	title = {{\textquotedblleft}This time may be a little different{\textquotedblright} {\textendash} exploring the Finnish view on the future of work},
	journal = {International Journal of Sociology and Social Policy},
	volume = {39},
	year = {2019},
	month = {Nov-03-2019},
	pages = {22 - 37},
	issn = {0144-333X},
	doi = {10.1108/IJSSP-05-2018-0070},
	author = {Pulkka, Ville-Veikko}
}
@article {2019,
	title = {Why artificial intelligence will not outsmart complex knowledge work},
	journal = {Work, Employment and Society},
	volume = {33},
	year = {2019},
	month = {Jan-12-2019},
	pages = {1058 - 1067},
	issn = {0950-0170},
	doi = {10.1177/0950017018817489},
	author = {Pettersen, Lene}
}
@conference {2019,
	title = {Why small data holds the key to the future of artificial intelligence},
	booktitle = {8th International Conference on Data Science, Technology and ApplicationsProceedings of the 8th International Conference on Data Science, Technology and Applications},
	year = {2019},
	pages = {340 - 347},
	publisher = {SCITEPRESS - Science and Technology Publications},
	organization = {SCITEPRESS - Science and Technology Publications},
	address = {Prague, Czech Republic},
	doi = {10.5220/0007956203400347},
	author = {Greco, Ciro and Polonioli, Andrea and Tagliabue, Jacopo}
}
@conference {2018,
	title = {AI risk mitigation through democratic governance},
	booktitle = {the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES {\textquoteright}18},
	year = {2018},
	pages = {366 - 367},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {New Orleans, LA, USANew York, New York, USA},
	isbn = {9781450360128},
	doi = {10.1145/3278721.3278801},
	author = {Garvey, Colin}
}
@article {2018,
	title = {Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review},
	journal = {Journal of Affective Disorders},
	volume = {241},
	year = {2018},
	pages = {519-532},
	issn = {01650327},
	doi = {10.1016/j.jad.2018.08.073},
	author = {Lee, Yena and Ragguett, Renee-Marie and Mansur, Rodrigo B. and Boutilier, Justin J. and Rosenblat, Joshua D. and Trevizol, Alisson and Brietzke, Elisa and Lin, Kangguang and Pan, Zihang and Subramaniapillai, Mehala and Chan, Timothy C.Y. and Fus, Dominika and Park, Caroline and Musial, Natalie and Zuckerman, Hannah and Chen, Vincent Chin-Hung and Ho, Roger and Rong, Carola and McIntyre, Roger S.}
}
@article {2018,
	title = {Artificial intelligence and privacy in the fourth industrial revolution},
	year = {2018},
	institution = {Institute for Philosophy \& Public Policy},
	url = {https://www.wilsoncenter.org/sites/default/files/ai_and_privacy.pdf},
	author = {Sarah W. Denton and Eleonore Pauwels}
}
@conference {2018,
	title = {Artificial Intelligence Applications and Innovations},
	booktitle = {14th IFIP WG 12.5 International Conference, AIAI 2018},
	year = {2018},
	url = {https://www.springer.com/gp/book/9783319920153},
	author = {Lazaros Iliadis and Ilias Maglogiannis and Vassilis Plagianakos}
}
@article {2018,
	title = {Artificial intelligence: Implications for social inflation and insurance},
	journal = {Risk Management and Insurance Review},
	volume = {21},
	year = {2018},
	month = {Jan-12-2018},
	pages = {373 - 387},
	doi = {10.1111/rmir.12111},
	author = {Kelley, Kevin H. and Fontanetta, Lisa M. and Heintzman, Mark and Pereira, Nikki}
}
@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 = {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 = {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.}
}
@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 = {Game changing value from Artificial Intelligence: eight strategies},
	journal = {Strategy \& Leadership},
	volume = {46},
	year = {2018},
	month = {Mar-01-2019},
	pages = {16 - 22},
	issn = {1087-8572},
	doi = {10.1108/SL-11-2017-0106},
	author = {Plastino, Eduardo and Purdy, Mark}
}
@article {2018,
	title = {How machine learning can permanently capture legal expertise and optimize the law firm pyramid},
	journal = {JBEL},
	volume = {11},
	year = {2018},
	abstract = {As the legal industry gradually integrates artificial intelligence (AI) into its practice, the underlying technology continues to advance at a fever pitch. Machine learning platforms arguably represent the pinnacle of AI development, and this technology currently augments and replicates intelligent human tasks in ways never before conceived. The business applications of machine learning are bearing fruit across a spectrum of industries and professions. Yet despite machine learning{\textquoteright}s demonstrated promise, its forays into the legal industry have been uneven. In fact, the most advanced forms of machine learning have been relegated primarily to lower-level attorney tasks such as e-discovery, due-diligence, and legal research and, unfortunately, have yet to be embraced by the upper echelon legal decision-makers and strategists. This article explores this technology{\textquoteright}s underutilization in law and highlights the inroads made by machine learning in other professions such as healthcare. It then provides an illustration of the capacity of machine learning and develops detailed hypotheticals of machine learning{\textquoteright}s potential impact upon several representative areas of high-level legal decision-making, including lateral hiring, litigation strategy development, cost optimization, and overall law firm management. Finally, this article argues that incorporating machine learning will enable firms to permanently capture attorney expertise and develop deep reservoirs of reputational capital as a source of enduring competitive advantage.},
	url = {https://digitalcommons.pepperdine.edu/jbel/vol11/iss2/3/},
	author = {J. Mark Phillips}
}
@article {2018,
	title = {How to respond to the fourth industrial revolution, or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation},
	journal = {Journal of Open Innovation: Technology, Market, and Complexity},
	volume = {4},
	year = {2018},
	month = {Jan-09-2018},
	pages = {21},
	doi = {10.3390/joitmc4030021},
	author = {Lee, MinHwa and Yun, JinHyo and Pyka, Andreas and Won, DongKyu and Kodama, Fumio and Schiuma, Giovanni and Park, HangSik and Jeon, Jeonghwan and Park, KyungBae and Jung, KwangHo and Yan, Min-Ren and Lee, SamYoul and Zhao, Xiaofei}
}
@article {2018,
	title = {Imagining a future of work that fosters mobility for all},
	year = {2018},
	url = {https://www.mobilitypartnership.org/imagining-future-work-fosters-mobility-all},
	author = {Lawrence Katz and Ai-Jen Poo and Elaine Waxman}
}
@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}
}
@article {2018,
	title = { The impact of industrial robots on eu employment and wages: A local labour market approach},
	year = {2018},
	month = {04/2018},
	publisher = {bruegel},
	keywords = {economics of automation},
	url = {https://bruegel.org/2018/04/the-impact-of-industrial-robots-on-eu-employment-and-wages-a-local-labour-market-approach/},
	author = {Francesco Chiacchio and Georgios Petropoulos and David Pichler}
}
@article {2018,
	title = {The internet and jobs opportunities and ambiguous trends},
	year = {2018},
	month = {02/2018},
	keywords = {economics of automation},
	url = {https://www.ceps.eu/system/files/PI2018_06_LP-EN-LW_InternetAndJobs.pdf},
	author = {Lorenzo Pupillo and Eli Noam and Leonard Waverman}
}
@book {2018,
	title = {Investigating ergonomics in the context of human-robot collaboration as a sociotechnical system},
	volume = {784},
	year = {2018},
	pages = {127 - 135},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-94345-9},
	issn = {2194-5357},
	doi = {10.1007/978-3-319-94346-6_12},
	author = {R{\"u}cker, Daniel and Hornfeck, R{\"u}diger and Paetzold, Kristin},
	editor = {Chen, Jessie}
}
@article {2018,
	title = {New education models for the future of work force},
	number = {IZA Policy Paper No. 143},
	year = {2018},
	month = {10/2018},
	publisher = {Global Labor Organization },
	keywords = {industry 4.0; robotics; sequential versus dual education systems; human resources management and policy},
	url = {http://ftp.iza.org/pp143.pdf},
	author = {Francesco Pastore}
}
@article {2018,
	title = {The predictions on the future of labour are not grounded; some arguments for a bayesian approach},
	journal = {Postmodern Openings},
	volume = {9},
	year = {2018},
	month = {Jan-09-2020},
	pages = {36 - 63},
	issn = {20680236},
	doi = {10.18662/po/35},
	author = {Rotila, Viorel}
}
@conference {2018,
	title = {Rethinking AI strategy and policy as entangled super wicked problems},
	booktitle = {the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES {\textquoteright}18},
	year = {2018},
	pages = {122 - 122},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {New Orleans, LA, USANew York, New York, USA},
	isbn = {9781450360128},
	doi = {10.1145/3278721.3278746},
	author = {Gruetzemacher, Ross}
}
@article {2018,
	title = {This time it might be different: Analysis of the impact of digitalization on the labour market},
	journal = {European Scientific Journal ESJ},
	volume = {14},
	year = {2018},
	month = {Jul-12-2020},
	issn = {18577881},
	doi = {10.19044/esj.2018.v14n36p68},
	author = {Lovergine, Saverio and Pellero, Alberto}
}
@conference {2018,
	title = {Understanding Chatbot-mediated Task Management},
	booktitle = {the 2018 CHI ConferenceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems  - CHI {\textquoteright}18},
	year = {2018},
	pages = {1 - 6},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Montreal QC, CanadaNew York, New York, USA},
	isbn = {9781450356206},
	doi = {10.1145/317357410.1145/3173574.3173632},
	author = {Toxtli, Carlos and Monroy-Hern{\'a}ndez, Andr{\'e}s and Cranshaw, Justin}
}
@article {2018,
	title = {The value of work: Addressing the future of work through the lens of solidarity},
	journal = {Bioethics},
	volume = {32},
	year = {2018},
	month = {Jan-11-2018},
	pages = {585 - 592},
	doi = { 10.1111/bioe.12507},
	author = {Prainsack, Barbara and Buyx, Alena},
	editor = {Buyx, Alena and Prainsack, Barbara}
}
@article {2018,
	title = {Working and organizing in the age of the learning algorithm},
	journal = {Information and Organization},
	volume = {28},
	year = {2018},
	publisher = {Elsevier},
	chapter = {62-70},
	abstract = {Learning algorithms, technologies that generate responses, classifications, or dynamic predictions that resemble those of a knowledge worker, raise important research questions for organizational scholars related to work and organizing. We suggest that such algorithms are distinguished by four consequential aspects: black-boxed performance, comprehensive digitization, anticipatory quantification, and hidden politics. These aspects are likely to alter work and organizing in qualitatively different ways beyond simply signaling an acceleration of long-term technology trends. Our analysis indicates that learning algorithms will transform expertise in organizations, reshape work and occupational boundaries, and offer novel forms of coordination and control. Thus, learning algorithms can be considered performative due to the extent to which their use can shape and alter work and organizational realities. Their rapid deployment requires scholarly attention to societal issues such as extent to which the algorithm is authorized to make decisions, the need to incorporate morality in the technology, and their digital iron-cage potential.},
	doi = {10.1016/j.inforandorg.2018.02.005},
	author = {Samer Faraj and Stella Pachidi and Karla Sayegh}
}
@article {2018,
	title = {Working and organizing in the age of the learning algorithm},
	journal = {Information and Organization},
	volume = {28},
	year = {2018},
	month = {Jan-03-2018},
	pages = {62 - 70},
	issn = {14717727},
	doi = {10.1016/j.infoandorg.2018.02.005},
	author = {Faraj, Samer and Pachidi, Stella and Sayegh, Karla}
}
@article {2017,
	title = {AI in Action: Combing the genome for the roots of autism},
	journal = {Science},
	volume = {357},
	year = {2017},
	month = {Jul-07-2017},
	pages = {25 - 25},
	issn = {0036-8075},
	doi = {10.1126/science.357.6346.25},
	author = {Pennisi, Elizabeth}
}
@article {2017,
	title = {Anxiety about automation and jobs: Will we see anti-tech laws?},
	journal = {AEIdeas},
	year = {2017},
	month = {07/2017},
	type = {economics},
	url = {https://www.aei.org/economics/anxiety-about-automation-and-jobs-will-we-see-anti-tech-laws/},
	author = {James Pethokoukis}
}
@article {2017,
	title = {Artificial Intelligence For Social Good},
	year = {2017},
	note = {Sponsored by the Computing Community Consortium (CCC)},
	url = {https://cra.org/ccc/wp-content/uploads/sites/2/2016/04/AI-for-Social-Good-Workshop-Report.pdf},
	author = {Gregory D. Hager and Ann Drobnis and Fei Fang and Rayid Ghani and Amy Greenwald and Terah Lyons and David C. Parkes and Jason Schultz and Suchi Saria and Stephen F. Smith and Milind Tambe}
}
@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 Index},
	year = {2017},
	url = {https://aiindex.org/2017-report.pdf},
	author = {Yoav Shoham and Raymond Perrault and Erik Brynjolfsson and Jack Clark}
}
@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}
}
@article {2017,
	title = {Empowerment As Replacement for the Three Laws of Robotics},
	journal = {Frontiers in Robotics and AI},
	volume = {4},
	year = {2017},
	month = {May-06-2019},
	doi = {10.3389/frobt.2017.00025},
	author = {Salge, Christoph and Polani, Daniel}
}
@article {2017,
	title = {Google DeepMind and healthcare in an age of algorithms},
	journal = {Health and Technology},
	volume = {7},
	year = {2017},
	month = {Jan-12-2017},
	pages = {351 - 367},
	issn = {2190-7188},
	doi = {10.1007/s12553-017-0179-1},
	author = {Powles, Julia and Hodson, Hal}
}
@article {2017,
	title = {How AI is streamlining marketing and sales},
	year = {2017},
	month = {06/2017},
	keywords = {AI use cases},
	url = {https://hbr.org/2017/06/how-ai-is-streamlining-marketing-and-sales},
	author = {Brad Power}
}
@article {2017,
	title = {Of robots, Artificial Intelligence, and work},
	journal = {Academy of Management Perspectives},
	volume = {31},
	year = {2017},
	month = {Jan-11-2017},
	pages = {253 - 255},
	issn = {1558-9080},
	doi = {10.5465/amp.2017.0199},
	author = {Phan, Phillip and Wright, Michael and Lee, Soo-Hoon}
}
@article {2017,
	title = {One hundred years of work design research: Looking back and looking forward},
	journal = {Journal of Applied Psychology},
	volume = {102},
	year = {2017},
	month = {Jan-01-2017},
	pages = {403 - 420},
	issn = {0021-9010},
	doi = {10.1037/apl0000106},
	author = {Parker, Sharon K. and Morgeson, Frederick P. and Johns, Gary}
}
@book {2017,
	title = {Oxford research encyclopedia of psychology },
	year = {2017},
	publisher = {Oxford University Press},
	organization = {Oxford University Press},
	doi = {10.1093/acrefore/9780190236557.013.15},
	url = {\},
	author = {Van den Broeck, Anja and Parker, Sharon K. and Van den Broeck, Anja and Parker, Sharon K.}
}
@article {2017,
	title = {A review and synthesis of the individual work performance literature},
	journal = {Academy of Management Annals},
	volume = {11},
	year = {2017},
	month = {Jan-06-2017},
	pages = {825 - 885},
	issn = {1941-6520},
	doi = {10.5465/annals.2015.0151},
	author = {Carpini, Joseph A. and Parker, Sharon K. and Griffin, Mark A.}
}
@article {2017,
	title = {Speculations and concerns on robots status in society},
	journal = {Journal of science communication},
	year = {2017},
	keywords = {bots, Participation and science governance, Public engagement with science and technology, Science and policy-making},
	url = {https://jcom.sissa.it/sites/default/files/documents/JCOM_1604_2017_C06.pdf},
	author = {Erik Stengler and Jimena Escudero Perez}
}
@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 {2015,
	title = {Is a Cambrian Explosion Coming for Robotics?},
	journal = {Journal of Economic Perspectives},
	volume = {29},
	year = {2015},
	month = {Jan-08-2015},
	pages = {51 - 60},
	issn = {0895-3309},
	doi = {10.1257/jep.29.3.51},
	url = {http://pubs.aeaweb.org/doi/10.1257/jep.29.3.51http://pubs.aeaweb.org/doi/pdf/10.1257/jep.29.3.51},
	author = {Pratt, Gill A.}
}
@article {2015,
	title = {An executive{\textquoteright}s guide to machine learning},
	journal = {McKinsey Quarterly},
	year = {2015},
	type = {Technology, Media \& Telecommunications},
	url = {https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/an-executives-guide-to-machine-learning},
	author = {Dorian Pyle and Cristina San Jose}
}
@article {2015,
	title = {Norms, institutions and robots},
	journal = {Journal of latex class files},
	volume = {14},
	year = {2015},
	month = {08/2015},
	url = {https://arxiv.org/abs/1807.11456},
	author = {Stevan Tomic and Federico Pecora and Alessandro Saffotti}
}
@conference {2015,
	title = {Science bot: a model for the future computation},
	booktitle = {the 24th International ConferenceProceedings of the 24th International Conference on World Wide Web - WWW {\textquoteright}15 Companion},
	year = {2015},
	pages = {1061 - 1062},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Florence, ItalyNew York, New York, USA},
	isbn = {9781450334730},
	doi = {10.1145/2740908.2742014},
	author = {Kuhn, Tobias}
}
@article {2014,
	title = {Beyond motivation: Job and work design for development, health, ambidexterity, and more},
	journal = {Annual Review of Psychology},
	volume = {65},
	year = {2014},
	month = {Mar-01-2014},
	pages = {661 - 691},
	issn = {0066-4308},
	doi = {10.1146/annurev-psych-010213-115208},
	author = {Parker, Sharon K.}
}
@article {2014,
	title = {A transdisciplinary perspective on hedonomic sustainability design},
	year = {2014},
	keywords = {environmental efficacy, environmental sustainability, hedonomics, sustainable design, transdisciplinary research},
	doi = {10.1177\%2F1064804613516762},
	url = {https://journals.sagepub.com/doi/abs/10.1177/1064804613516762?journalCode=erga},
	author = {Stephen M. Fiore and Elizabeth Philips and Brittany C. Sellers}
}
@article {2013,
	title = {A Comprehensive Survey of Data Mining-based Fraud Detection Research},
	year = {2013},
	keywords = {adversarial detection, automated fraud detection, Data mining applications},
	url = {https://arxiv.org/ftp/arxiv/papers/1009/1009.6119.pdf},
	author = {Clifton Phua and Vincent Lee and Kate Smith and Ross Gayler}
}
@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}
}
@article {2011,
	title = {Is there an ethics of algorithms?},
	journal = {Ethics and Information Technology},
	volume = {13},
	year = {2011},
	month = {Jan-09-2011},
	pages = {251 - 260},
	issn = {1388-1957},
	doi = {10.1007/s10676-010-9233-7},
	author = {Kraemer, Felicitas and van Overveld, Kees and Peterson, Martin}
}
@article {2010,
	title = {Not what it was and not what it will be: The future of job design research},
	journal = {Journal of Organizational Behavior},
	volume = {31},
	year = {2010},
	month = {Jan-02-2010},
	pages = {463 - 479},
	issn = {08943796},
	doi = {10.1002/job.v31:2/310.1002/job.678},
	author = {Oldham, Greg R. and Hackman, J. Richard},
	editor = {Grant, Adam and Fried, Yitzhak and Parker, Sharon and Frese, Michael}
}
@article {2010,
	title = {Understanding the role of occupational and organizational context},
	journal = {Journal of Organizational Behavior},
	volume = {31},
	year = {2010},
	month = {Jan-02-2010},
	pages = {351 - 360},
	issn = {08943796},
	doi = {10.1002/job.642},
	author = {Morgeson, Frederick P. and Dierdorff, Erich C. and Hmurovic, Jillian L.},
	editor = {Grant, Adam and Fried, Yitzhak and Parker, Sharon and Frese, Michael}
}
@conference {2010,
	title = {Using machine learning for network intrusion detection},
	year = {2010},
	note = {Proceedings of the IEEE Symposium on Security and Privacy 2010, Oakland, California, pp. 305-316},
	url = {http://www.icsi.berkeley.edu/pubs/networking/outsidethe10.pdf},
	author = {R. Sommer and V. Paxson}
}
@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.}
}
@article {2009,
	title = {Redesigning work design theories: The rise of relational and proactive perspectives},
	journal = {The Academy of Management Annals},
	volume = {3},
	year = {2009},
	month = {Jan-01-2009},
	pages = {317 - 375},
	issn = {1941-6520},
	doi = {10.1080/19416520903047327},
	author = {Grant, Adam M. and Parker, Sharon K.}
}
@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}
}
@book {2008,
	title = {Handbook of transdisciplinary research},
	year = {2008},
	pages = {427 - 432},
	publisher = {Springer Netherlands},
	organization = {Springer Netherlands},
	address = {Dordrecht},
	isbn = {978-1-4020-6698-6},
	doi = {10.1007/978-1-4020-6699-3_28},
	editor = {Hadorn, Gertrude Hirsch and Hoffmann-Riem, Holger and Biber-Klemm, Susette and Grossenbacher-Mansuy, Walter and Joye, Dominique and Pohl, Christian}
}
@article {2004,
	title = {Handoff strategies in settings with high consequences for failure: lessons for health care operations},
	journal = {International Journal for Quality in Health Care},
	volume = {16},
	year = {2004},
	month = {Jan-04-2004},
	pages = {125 - 132},
	issn = {1353-4505},
	doi = {10.1093/intqhc/mzh026},
	author = {Patterson, E. S.}
}
@article {2002,
	title = {Can we ever escape from data overload? A cognitive systems diagnosis},
	journal = {Cognition, Technology \& Work},
	volume = {4},
	year = {2002},
	month = {Jan-04-2002},
	pages = {22 - 36},
	issn = {1435-5558},
	doi = {10.1007/s101110200002},
	author = {Woods, D. D. and Patterson, E. S. and Roth, E. M.}
}
@article {2001,
	title = {Shift changes, updates, and the on-call architecture in space shuttle mission control},
	journal = {Computer Supported Cooperative Work (CSCW)},
	volume = {10},
	year = {2001},
	month = {Jan-09-2001},
	pages = {317 - 346},
	issn = {0925-9724},
	doi = {10.1023/A:1012705926828},
	author = {Patterson, Emily S. and Woods, David D.}
}
@book {1997,
	title = { Computer Science and Artificial Intelligence},
	year = {1997},
	url = {https://www.nap.edu/read/5812/chapter/1},
	author = {Panel on Computer Science and Artificial Intelligence}
}
