@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}
}
@conference {Schneider2020,
	title = {Similarity Learning Networks for Animal Individual Re-Identification-Beyond the Capabilities of a Human Observer},
	booktitle = {Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020},
	volume = {479},
	year = {2020},
	pages = {44{\textendash}52},
	abstract = {Deep learning has become the standard methodology to approach computer vision tasks when large amounts of labeled data are available. One area where traditional deep learning approaches fail to perform is one-shot learning tasks where a model must correctly classify a new category after seeing only one example. One such domain is animal re-identification, an application of computer vision which can be used globally as a method to automate species population estimates from camera trap images. Our work demonstrates both the application of similarity comparison networks to animal re-identification, as well as the capabilities of deep convolutional neural networks to generalize across domains. Few studies have considered animal re-identification methods across species. Here, we compare two similarity comparison methodologies: Siamese and Triplet-Loss, based on the AlexNet, VGG-19, DenseNet201, MobileNetV2, and InceptionV3 architectures considering mean average precision (mAP)@1 and mAP@5. We consider five data sets corresponding to five different species: Humans, chimpanzees, humpback whales, fruit flies, and Siberian tigers, each with their own unique set of challenges. We demonstrate that Triplet Loss outperformed its Siamese counterpart for all species. Without any species-specific modifications, our results demonstrate that similarity comparison networks can reach a performance level beyond that of humans for the task of animal re-identification. The ability for researchers to re-identify an animal individual upon re-encounter is fundamental for addressing a broad range of questions in the study of population dynamics and community/behavioural ecology. Our expectation is that similarity comparison networks are the beginning of a major trend that could stand to revolutionize animal re-identification from camera trap data.},
	isbn = {9781728171623},
	doi = {10.1109/WACVW50321.2020.9096925},
	author = {Schneider, Stefan and Taylor, Graham W. and Kremer, Stefan C.}
}
@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}
}
@conference {Ferreira2020,
	title = {Understanding the Impact of Artificial Intelligence on Services},
	booktitle = {International Conference on Exploring Services Science},
	series = {Lecture Notes in Business Information Processing},
	volume = {1},
	number = {January},
	year = {2020},
	pages = {202{\textendash}213},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {The service sector is changing drastically due the use of robotics and other technologies, such as Artificial Intelligence (AI), Internet of things (IoT), Big Data and Biometrics. Consequently, further research opportunities in the service industry domain are also expected. In light of the above, the purpose of this paper is to explore the potentialities and limitations of service robots in the hospitality industry. To this end, this paper uses a conceptual approach based on a literature review. As a result, we found that in contexts of high customer contact, service robots should be considered to perform standardized tasks due to social/emotional and cognitive/analytical complexity. The hospitality industry is therefore considered closely related to empathic intelligence, as the integration of service robots has not yet reached the desired stage of service delivery. In a seemingly far-fetched context of our reality, organizations will have to decide whether the AI will allow the complete replacement of humans with robots capable of performing the necessary cognitive and emotional tasks. Or investing in balanced capacities by integrating robot-human systems that seems a rea- sonable option these days. Keywords:},
	keywords = {{\'a} servitization {\'a} design, science research, service design},
	isbn = {9783030387242},
	doi = {10.1007/978-3-030-38724-2},
	url = {http://link.springer.com/10.1007/978-3-030-38724-2},
	author = {Ferreira, Pedro and Teixeira, Jorge Grenha and Teixeira, Lu{\'\i}s F.},
	editor = {N{\'o}voa, Henriqueta and Dr{\u a}goicea, Monica and K{\"u}hl, Niklas}
}
@article {2019,
	title = {Algorithms, artificial intelligence and automated decisions concerning workers and the risks of discrimination: the necessary collective governance of data protection},
	journal = {Transfer: European Review of Labour and Research},
	volume = {25},
	year = {2019},
	month = {Jan-11-2019},
	pages = {465 - 481},
	issn = {1024-2589},
	doi = {10.1177/1024258919876416},
	author = {Todol{\'\i}-Signes, Adri{\'a}n}
}
@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 = {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 = {Digital Economics},
	journal = {Journal of Economic Literature},
	volume = {57},
	year = {2019},
	month = {Jan-03-2019},
	pages = {3 - 43},
	issn = {0022-0515},
	doi = {10.1257/jel.20171452},
	author = {Goldfarb, Avi and Tucker, Catherine}
}
@article {2019,
	title = { Employment Transformation through Artificial Intelligence },
	year = {2019},
	note = {We all are moving at pace towards innovative technologies and adopting these technologies, human are being entered into the digital world, where they are going to be facilitated by transformed traditional systems into modern systems. In next few years, most of systems will be smart and able to do anything as human can do. This transformation will be a reason to bring the human into very comfort zone where they will take the advantages of these modern facilities. This transformation will help to government in developing the new aspects of developments in their country .As today, the traditional systems are being smart and intelligence along with that cities are also being smart day by day. This transformation will be a cause of bringing a big revolution for the human{\textquoteright}s life across the world. On another side, this transformation will have positive and negative impact on employability in different sectors. India is essentially entering into a new industrial revolution and it is going to wipe out millions of jobs in India. Innovative transformation through industry revolution will restructure the infrastructure and working environment in services as well as in manufacturing industries. Productivity and revenue of industries will be up after replacing existing methods with innovative methods. Basically, these innovative methods will replace the human with intellectual artificial (AI) machines which will transform the working environment of industries partially or entirely. AI Machines will be responsible for transformation in employability across the world. Machine will take control over the human work means in future most of the work will be executed by the Artificial..},
	edition = {International Journal of Applied Engineering Research},
	url = {https://scholar.google.co.in/citations?user=5wxReHAAAAAJ\&hl=en$\#$d=gs_md_cita-d\&u=\%2Fcitations\%3Fview_op\%3Dview_citation\%26hl\%3Den\%26user\%3D5wxReHAAAAAJ\%26citation_for_view\%3D5wxReHAAAAAJ\%3Ad1gkVwhDpl0C\%26tzom\%3D300},
	author = {Dheeraj Singh, and Geetali Tilak}
}
@article {2019,
	title = {How big data is changing the job market},
	year = {2019},
	url = {https://www.dropbox.com/sh/8sxki5mwikjxlte/AAB6zvW5F0s2FIJ6jUmEW7P-a/Popular\%20press\%20about\%20impacts?dl=0\&preview=How+Big+Data+Is+Changing+the+Job+Market.pdf\&subfolder_nav_tracking=1},
	author = {Editorial Team}
}
@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 = {Human resource technology disruptions and their implications for human resources management in healthcare organizations},
	journal = {BMC Health Services Research},
	volume = {19},
	year = {2019},
	month = {Jan-12-2019},
	doi = {10.1186/s12913-019-4068-3},
	author = {Tursunbayeva, Aizhan}
}
@mastersthesis {2019,
	title = {Recruiters just wanna have AI?},
	year = {2019},
	edition = {Spring semester 2019},
	url = {https://liu.diva-portal.org/smash/get/diva2:1333711/FULLTEXT01.pdf},
	author = {Hannimari Savola and Bijona Troqe}
}
@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}
}
@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 = {As s essing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour},
	year = {2018},
	url = {https://arxiv.org/ftp/arxiv/papers/1806/1806.03192.pdf},
	author = {Emilia G{\'o}mez and Carlos Castillo and Vicky Charisi and Ver{\'o}nica Dahl and Gustavo Deco and Blagoj Delipetrev and Nicole Dewandre and Miguel {\'A}ngel Gonz{\'a}lez-Ballester and Fabien Gouyon and Jos{\'e} Hern{\'a}ndez-Orallo and Perfecto Herrera and Anders Jonsson and Ansgar Koene and Martha Larson and Ram{\'o}n L{\'o}pez de M{\'a}ntaras and Bertin Martens and Marius Miron and Rub{\'e}n Moreno-Bote and Nuria Oliver and Antonio Puertas Gallardo and Heike Schweitzer and Nuria Sebastian and Xavier Serra and Joan Serr{\`a} and Song{\"u}l Tolan and Karina Vold}
}
@article {2018,
	title = {Automation, taxes and transfers with international rivalry},
	year = {2018},
	publisher = {Australian National University},
	keywords = {automation, global modelling, income distribution, taxes, transfers},
	issn = {2206-0332},
	url = {https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2018-09/44_2018_tyers_zhou.pdf},
	author = {Rod Tyers and Yixiao Zhou}
}
@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 = {The Future of Work: Robots Cooking Free Lunches?},
	journal = {European View},
	volume = {17},
	year = {2018},
	month = {Jun-10-2020},
	pages = {241 - 241},
	issn = {1781-6858},
	doi = {10.1177/1781685818813010},
	author = {Turk, Ziga}
}
@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 = {Promethean AI uses artificial intelligence to help artists fill out game worlds},
	year = {2018},
	keywords = {AI use cases},
	url = {https://venturebeat.com/2018/07/18/promethean-ai-uses-artificial-intelligence-to-help-artists-fill-out-game-worlds/},
	author = {Dean Takahashi}
}
@article {2018,
	title = {Robot revolution: Myth or reality },
	journal = {Proceedings of the IEEE},
	volume = {106},
	year = {2018},
	month = {Jan-12-2018},
	pages = {2095 - 2097},
	issn = {0018-9219},
	doi = {10.1109/JPROC.2018.2877520},
	author = {Joel Trussell, H.}
}
@book {2018,
	title = {The role of technological progress and structural change in the labour market},
	year = {2018},
	pages = {15 - 41},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-90547-1},
	issn = {2511-2023},
	doi = {10.1007/978-3-319-90548-8_2},
	author = {Bosio, Giulio and Cristini, Annalisa},
	editor = {Bosio, Giulio and Minola, Tommaso and Origo, Federica and Tomelleri, Stefano}
}
@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 {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: 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}
}
@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 = {A deep learning approach for quantifying tumor extent},
	journal = {Scientific Reports},
	volume = {7},
	year = {2017},
	month = {Jan-06-2017},
	doi = {10.1038/srep46450},
	author = {Cruz-Roa, Angel and Gilmore, Hannah and Basavanhally, Ajay and Feldman, Michael and Ganesan, Shridar and Shih, Natalie N.C. and Tomaszewski, John and Gonz{\'a}lez, Fabio A. and Madabhushi, Anant}
}
@article {RN30632,
	title = {Dermatologist-level classification of skin cancer with deep neural networks},
	journal = {Nature},
	volume = {542},
	number = {7639},
	year = {2017},
	pages = {115{\textendash}118},
	type = {Journal Article},
	issn = {0028-0836},
	author = {Esteva, Andre and Kuprel, Brett and Novoa, Roberto A and Ko, Justin and Swetter, Susan M and Blau, Helen M and Thrun, Sebastian}
}
@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 = {How the internet of people will change the future of work},
	journal = {Gale Academic Onefile},
	volume = {40},
	year = {2017},
	publisher = {Human Resource Planning Society},
	type = {People \& Strategy},
	author = {Anna Tavis}
}
@article {2017,
	title = {Rapid Evidence Review: Impact of  artificial  intelligence, robotics and  automation technologies on work},
	year = {2017},
	institution = {Chartered Institute of Personnel and Development},
	address = {London, United Kingdom},
	abstract = {The CIPD and Loughborough University{\textquoteright}s report gathers the evidence and insights on emerging technology at work and explores the ethical implications of how we{\textquoteright}re currently adopting new technology. This report creates a foundation for delving deeper into how we can ensure that people remain at the heart of work.

The report, Impact of artificial intelligence, robotics and automation technologies on work, focuses on the academic literature published since 2011 and evaluates the state of contemporary knowledge. It focuses on four key questions:

    What should the technological and occupations focus of the review be?

    What are the work-related outcomes and mediators from the utilisation of artificial intelligence (AI), robotics and automation technologies (considering both the impact for workers and organisations)?

    What are the impacts of AI, robotics and automation technologies on professions and society more generally?

    What are the ethical issues related to the contemporary utilisation of AI, robotics and automation technologies?},
	url = {https://www.cipd.co.uk/knowledge/work/technology/artificial-intelligence-workplace-impact},
	author = {Donald Hislop and Crispin Coombs and Stanimira  Taneva and Sarah Barnard}
}
@article {2017,
	title = {The strategic opportunities and challenges of algorithmic decision-making},
	journal = {The Journal of Strategic Information Systems},
	volume = {26},
	year = {2017},
	month = {Jan-09-2017},
	pages = {185 - 190},
	issn = {09638687},
	doi = {10.1016/j.jsis.2017.08.002},
	author = {Galliers, R.D. and Newell, S. and Shanks, G. and Topi, H.}
}
@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}
}
@booklet {RN30611,
	title = {The Future of Jobs: Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution},
	year = {2016},
	publisher = {World Economic Forum},
	type = {Report},
	author = {The World Economic Forum}
}
@article {2016,
	title = {How artificial intelligence will redefine management},
	year = {2016},
	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 {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}
}
@article {2015,
	title = {Research Priorities for Robust and Beneficial Artificial Intelligence},
	journal = {Association for the Advancement of Artificial Intelligence},
	volume = {4},
	year = {2015},
	pages = {105-114},
	abstract = {<p>Artificial intelligence (AI) research has explored a variety of problems and approaches since its inception, but for the last 20 years or so has been focused on the problems surrounding the construction of intelligent agents - systems that perceive and act in some environment. In this context, the criterion for intelligence is related to statistical and economic notions of rationality - colloquially, the ability to make good decisions, plans, or inferences. The adoption of probabilistic representations and statistical learning methods can led to a large degree of integration and crossfertilization between AI, machine learning, control theory, neuroscience, and other fields. The establishment of shared theoretical frameworks, combined with the availability of data and processing power, has yielded remarkable successes in various component tasks such as speech recognition, image classification, autonomous vehicles, machine translation, legged locomotion, and question-answering systems.</p>},
	url = {https://futureoflife.org/data/documents/research_priorities.pdf},
	author = {Stuart Russell and Daniel Dewey and Max Tegmark}
}
@article {2013,
	title = {Beyond convergence of Nano-Bio-Info-Cognitive technologies},
	year = {2013},
	month = {07/2013},
	url = {http://www.wtec.org/NBIC2/Docs/FinalReport/Pdf-secured/NBIC2-FinalReport-WEB.pdf},
	author = {Mihail C. Roco and William S. Bainbridge and Bruce Tonn and George Whitesides}
}
@article {2009,
	title = {Under diagnosis and referral bias of autism in ethnic minorities},
	journal = {Journal of Autism and Developmental Disorders},
	volume = {39},
	year = {2009},
	month = {Jan-01-2009},
	pages = {142 - 148},
	issn = {0162-3257},
	doi = {10.1007/s10803-008-0611-5},
	author = {Begeer, Sander and Bouk, Saloua El and Boussaid, Wafaa and Terwogt, Mark Meerum and Koot, Hans M.}
}
@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 {2003,
	title = {A Preliminary Analysis of Occupational Task Statements from the O*NET Data Collection Program},
	year = {2003},
	institution = {National Center for O*NET Development},
	isbn = {FR-02-52},
	author = {Van Iddekinge, Chad and Suzanne Tsacoumis and Jamie Donsbach}
}
@proceedings {1995,
	title = {Integration of people, technology and organization: the european approach},
	volume = {20},
	year = {1995},
	pages = {957-961},
	publisher = {Elsevier},
	address = {Tokyo, Japan},
	abstract = {This paper presents the general outline of new method, HITOP-D, considering the integration and joint optimization of people, technology, and organization. This method is based on the existing american methods HITOP and ACTION. It takes in account the specific european industrial context. In an iterating process the preliminary design of a project is assessed according a list of criteria of the four aspects people, technology, organization, and task design. Incongruencies are solved through a fit analysis and redesigning the original project. The performance of HITOP-D will be empirically evaluated.},
	author = {Christina Kirsch and Peter Troxier and Eberhard Ulich}
}
@inbook {1981,
	title = {The socio-technical perspective: The evolution of socio-technical systems as a conceptual framework and action research program},
	booktitle = {Perspectives in Organization Design and Behavior},
	year = {1981},
	pages = {32{\textendash}47},
	publisher = {John Wiley},
	organization = {John Wiley},
	address = {London},
	author = {Trist, E.},
	editor = {van de Ven, A.H. and Joyce, W. F.}
}
@article {1951,
	title = {Some social and psychological consequences of the Longwall Method of coal-getting: An examination of the psychological situation and defences of a work group in relation to the social structure and technological content of the work system},
	journal = {Human relationsHuman Relations},
	volume = {4},
	number = {1},
	year = {1951},
	pages = {3-38},
	isbn = {0018-7267},
	author = {Trist, Eric Lansdowne and Bamforth, Ken W}
}
@book {1911,
	title = {The Principles of Scientific Management},
	year = {1911},
	publisher = {Norton \& Company},
	organization = {Norton \& Company},
	address = {New York},
	keywords = {Productionmanagement},
	author = {Taylor, F. W.}
}
