TY - Generic T1 - ReelFramer: Human-AI Co-Creation for News-to-Video Translation T2 - CHI Conference on Human Factors in Computing Systems Y1 - 2024 A1 - Sitong Wang A1 - Samia Menon A1 - Tao Long A1 - Keren Henderson A1 - Dingzeyu Li A1 - Kevin Crowston A1 - Mark Hansen A1 - Jeffrey V. Nickerson A1 - Lydia B. Chilton AB -

Short videos on social media are the dominant way young people consume content. News outlets aim to reach audiences through news reels -- short videos conveying news -- but struggle to translate traditional journalistic formats into short, entertaining videos. To translate news into social media reels, we support journalists in reframing the narrative. In literature, narrative framing is a high-level structure that shapes the overall presentation of a story. We identified three narrative framings for reels that adapt social media norms but preserve news value, each with a different balance of information and entertainment. We introduce ReelFramer, a human-AI co-creative system that helps journalists translate print articles into scripts and storyboards. ReelFramer supports exploring multiple narrative framings to find one appropriate to the story. AI suggests foundational narrative details, including characters, plot, setting, and key information. ReelFramer also supports visual framing; AI suggests character and visual detail designs before generating a full storyboard. Our studies show that narrative framing introduces the necessary diversity to translate various articles into reels, and establishing foundational details helps generate scripts that are more relevant and coherent. We also discuss the benefits of using narrative framing and foundational details in content retargeting.

JF - CHI Conference on Human Factors in Computing Systems CY - Honolulu, Hawai'i UR - https://arxiv.org/abs/2304.09653 ER - TY - JOUR T1 - Artificial intelligence in information systems: State of the art and research roadmap JF - Communications of the Association for Information Systems (CAIS) Y1 - 2022 A1 - Pär J. Ågerfalk A1 - Kieran Conboy A1 - Kevin Crowston A1 - Sirkka L. Jarvenpaa A1 - Jenny Eriksson Lundström A1 - Patrick Mikalef A1 - Sudha Ram AB -

Many would argue that artificial intelligence (AI) is not just a technology but represents a paradigmatic shift in the relationship between humans and machines. Much of the literature assumes that AI-powered practices are substantially different and profoundly changes organizational structures, communication, affordances, and ecosystems. However, research in AI is often fragmented and lacks clarity. While the Information Systems (IS) field can play a pivotal role in the emergence and use of AI, there is a need for a clear direction that specifies how IS can contribute and what are to be the key research themes and questions. This paper draws on a PDW at ICIS 2020 and the discussions that followed. It summarizes and synthesizes five decades of the impact of AI on organizational practices, providing views from various perspectives. It identifies weaknesses in the current AI literature as measured against conceptual clarity, theoretical glue, cumulative tradition, parsimony, and applicability. The paper concludes by identifying direct actions that the IS research community can undertake to address these issues. The final contribution is a next-step research agenda to guide AI research in the coming years.

VL - 50 ER - TY - JOUR T1 - Hybrid intelligence in business networks JF - Electronic Markets Y1 - 2021 A1 - Ebel, Philipp A1 - Söllner, Matthias A1 - Leimeister, Jan Marco A1 - Crowston, Kevin A1 - de Vreede, Gert-Jan ER - TY - ABST T1 - Automation Technologies and Employment at Risk : The Case of Mexico Y1 - 2020 A1 - Cebreros, Alfonso A1 - Heffner-Rodríguez, Aldo A1 - Livas, René A1 - Puggioni, Daniela PB - Banco de México ER - TY - JOUR T1 - The benefits of eHRM and AI for talent acquisition JF - Journal of Tourism Futures Y1 - 2020 A1 - Johnson, Richard D A1 - Stone, Dianna L A1 - Lukaszewski, Kimberly M KW - artificial intelligence KW - e-HRM KW - e-recruiting KW - e-selection KW - eHRM KW - Electronic human resource management KW - Employee selection KW - Recruitment KW - Selection AB - Purpose : The hospitality and tourism industry faces a number of workforce challenges, especially the high turnover rates and associated replacement costs associated with continually identifying and hiring new employees. The purpose of this paper is to discuss how hospitality and tourism organizations can use electronic human resource management (eHRM) and artificial intelligence (AI) to help recruit and select qualified employees, increase individual retention rates and decrease the time needed to replace employees. Specifically, it discusses how e-recruiting and e-selection and AI tools can help hospitality and tourism organizations improve recruiting and selection outcomes. Design/methodology/approach: Research on eHRM, AI, employee recruitment and employee selection are applied to the hospitality and tourism industry and insights for how eHRM and AI can be applied to the industry are discussed. Findings: eHRM and AI have the potential to transform how the hospitality and tourism industry recruit and select employees. However, care must be taken to ensure that the insights gained and the decisions made are well received by employees and lead to better employee and organizational outcomes. Research limitations/implications: This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry. Originality/value: This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry. ER - TY - JOUR T1 - Competing with Robots: Firm-Level Evidence from France JF - AEA Papers and Proceedings Y1 - 2020 A1 - Acemoglu, Daron A1 - Lelarge, Claire A1 - Restrepo, Pascual KW - automation KW - competition KW - j23 KW - j24 KW - jel codes KW - l11 KW - labor share KW - manufacturing KW - productivity KW - reallocation KW - robots KW - tasks AB - We study the firm-level implications of robot adoption in France. Of 55,390 firms in our sample, 598 adopted robots between 2010 and 2015, but these firms accounted for 20 percent of manufacturing employment. Adopters experienced significant declines in labor shares, the share of production workers in employment, and increases in value added and productivity. They expand their overall employment as well. However, this expansion comes at the expense of competitors, leading to an overall negative association between adoption and employment. Robot adoption has a large impact on the labor share because adopters are larger and grow faster than their competitors. VL - 110 ER - TY - JOUR T1 - Industrial robots, employment growth, and labor cost: A simultaneous equation analysis JF - Technological Forecasting and Social Change Y1 - 2020 A1 - Jung, Jin Hwa A1 - Lim, Dong Geon KW - Compensation level KW - Employment growth KW - Industrial robots KW - Labor cost KW - Simultaneous equation analysis AB - In recent years, the global rapid expansion of industrial robots has induced ever-increasing concerns for the cause and effect of such growth, particularly with regard to its relationship with labor. This paper analyzes the factors underlying the adoption of industrial robots, employment growth and structure, and labor costs, taking into account the two-way causalities between these variables. For the empirical analysis, we use the three-stage least squares (3SLS) method for the system of simultaneous equations and apply it to the panel data constructed for 42 countries. Explanatory variables for each equation include the dependent variables of other equations and exogenous variables, such as the labor market environment, physical and human capital, and country-specific social environment. The empirical results of the present study indicate that the increase in both unit labor costs and hourly compensation level induces an extensive application of industrial robots. Subsequently, the expansion of industrial robots leads to a reduction of unit labor costs; however, the hourly compensation level increases, implying that the productivity-enhancing effect exceeds the wage-increasing effect of industrial robots. The extensive use of industrial robots tends to suppress employment growth, confirming the labor-substituting effect of industrial robots; the observed trend disproportionately affects low-skilled labor. PB - Elsevier VL - 159 UR - https://doi.org/10.1016/j.techfore.2020.120202 ER - TY - JOUR T1 - Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users' expectations JF - Technological Forecasting and Social Change Y1 - 2020 A1 - Capatina, Alexandru A1 - Kachour, Maher A1 - Lichy, Jessica A1 - Micu, Adrian A1 - Micu, Angela Eliza A1 - Codignola, Federica KW - artificial intelligence KW - Audience analysis KW - Image analysis KW - machine learning KW - Sentiment analysis KW - Social media marketing AB - The increasing use of Artificial Intelligence (AI) in Social Media Marketing (SMM) triggered the need for this research to identify and further analyze such expectations of potential users of an AI-based software for Social Media Marketing; a software that will be developed in the next two years, based on its future capabilities. In this research, we seek to discover how the potential users of this AI-based software (owners and employees from digital agencies based in France, Italy and Romania, as well as freelancers from these countries, with expertise in SMM) perceive the capabilities that we offer, as a way to differentiate our technological solution from other available in the market. We propose a causal model to find out which expected capabilities of the future AI-based software can explain potential users' intention to test and use this innovative technological solution for SMM, based on integer valued regression models. With this purpose, R software is used to analyze the data provided by the respondents. We identify different causal configurations of upcoming capabilities of the AI-based software, classified in three categories (audience, image and sentiment analysis), and will trigger potential users' intention to test and use the software, based on an fsQCA approach. PB - Elsevier VL - 151 UR - https://doi.org/10.1016/j.techfore.2019.119794 ER - TY - JOUR T1 - Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims Y1 - 2020 A1 - Brundage, Miles A1 - Avin, Shahar A1 - Wang, Jasmine A1 - Belfield, Haydn A1 - Krueger, Gretchen A1 - Hadfield, Gillian A1 - Khlaaf, Heidy A1 - Yang, Jingying A1 - Toner, Helen A1 - Fong, Ruth A1 - Maharaj, Tegan A1 - Koh, Pang Wei A1 - Hooker, Sara A1 - Leung, Jade A1 - Trask, Andrew A1 - Bluemke, Emma A1 - Lebensold, Jonathan A1 - O'Keefe, Cullen A1 - Koren, Mark A1 - Ryffel, Théo A1 - Rubinovitz, JB A1 - Besiroglu, Tamay A1 - Carugati, Federica A1 - Clark, Jack A1 - Eckersley, Peter A1 - de Haas, Sarah A1 - Johnson, Maritza A1 - Laurie, Ben A1 - Ingerman, Alex A1 - Krawczuk, Igor A1 - Askell, Amanda A1 - Cammarota, Rosario A1 - Lohn, Andrew A1 - Krueger, David A1 - Stix, Charlotte A1 - Henderson, Peter A1 - Graham, Logan A1 - Prunkl, Carina A1 - Martin, Bianca A1 - Seger, Elizabeth A1 - Zilberman, Noa A1 - HÉigeartaigh, Seán Ó A1 - Kroeger, Frens A1 - Sastry, Girish A1 - Kagan, Rebecca A1 - Weller, Adrian A1 - Tse, Brian A1 - Barnes, Elizabeth A1 - Dafoe, Allan A1 - Scharre, Paul A1 - Herbert-Voss, Ariel A1 - Rasser, Martijn A1 - Sodhani, Shagun A1 - Flynn, Carrick A1 - Gilbert, Thomas Krendl A1 - Dyer, Lisa A1 - Khan, Saif A1 - Bengio, Yoshua A1 - Anderljung, Markus AB - 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–spanning institutions, software, and hardware–and make recommendations aimed at implementing, exploring, or improving those mechanisms. UR - http://arxiv.org/abs/2004.07213 ER - TY - JOUR T1 - AI-Assisted Decision-making in Healthcare JF - Asian Bioethics Review Y1 - 2019 A1 - Lysaght, Tamra A1 - Lim, Hannah Yeefen A1 - Xafis, Vicki A1 - Ngiam, Kee Yuan VL - 11 IS - 3 ER - TY - JOUR T1 - AI-Based Digital Assistants JF - Business & Information Systems Engineering Y1 - 2019 A1 - Maedche, Alexander A1 - Legner, Christine A1 - Benlian, Alexander A1 - Berger, Benedikt A1 - Gimpel, Henner A1 - Hess, Thomas A1 - Hinz, Oliver A1 - Morana, Stefan A1 - Söllner, Matthias VL - 61 IS - 4 ER - TY - JOUR T1 - Apple reminds us that behind the AI revolution lies an army of humans seeing our data JF - Forbes Y1 - 2019 A1 - Kalev Leetaru UR - https://www.forbes.com/sites/kalevleetaru/2019/07/30/apple-reminds-us-that-behind-the-ai-revolution-lies-an-army-of-humans-seeing-our-data/#3dd2e8ba339d ER - TY - JOUR T1 - Are robots competing for your job? JF - The New Yorker Y1 - 2019 A1 - Jill Lepore UR - https://www.newyorker.com/magazine/2019/03/04/are-robots-competing-for-your-job ER - TY - JOUR T1 - Automation as Part of the Solution JF - Journal of Management Inquiry Y1 - 2019 A1 - Levine, David I. VL - 28 IS - 3 ER - TY - CONF T1 - Beyond Dyadic Interactions: Considering Chatbots as Community Members T2 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19 Y1 - 2019 A1 - Seering, Joseph A1 - Luria, Michal A1 - Kaufman, Geoff A1 - Hammer, Jessica JF - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19 PB - ACM Press CY - Glasgow, Scotland UK SN - 9781450359702 ER - TY - JOUR T1 - Can nurses remain relevant in a technologically advanced future? JF - International Journal of Nursing Sciences Y1 - 2019 A1 - Pepito, Joseph Andrew A1 - Locsin, Rozzano VL - 6 IS - 1 ER - TY - JOUR T1 - A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task JF - European Journal of Cancer Y1 - 2019 A1 - Brinker, Titus J. A1 - Hekler, Achim A1 - Alexander Enk A1 - Klode, Joachim A1 - Hauschild, Axel A1 - Berking, Carola A1 - Schilling, Bastian A1 - Haferkamp, Sebastian A1 - Schadendorf, Dirk A1 - Fröhling, Stefan A1 - Jochen Sven Utikal A1 - von Kalle, Christof A1 - Ludwig-Peitsch, Wiebke A1 - Sirokay, Judith A1 - Heinzerling, Lucie A1 - Albrecht, Magarete A1 - Baratella, Katharina A1 - Bischof, Lena A1 - Chorti, Eleftheria A1 - Dith, Anna A1 - Drusio, Christina A1 - Giese, Nina A1 - Gratsias, Emmanouil A1 - Griewank, Klaus A1 - Hallasch, Sandra A1 - Hanhart, Zdenka A1 - Herz, Saskia A1 - Hohaus, Katja A1 - Jansen, Philipp A1 - Jockenhöfer, Finja A1 - Kanaki, Theodora A1 - Knispel, Sarah A1 - Leonhard, Katja A1 - Martaki, Anna A1 - Matei, Liliana A1 - Matull, Johanna A1 - Olischewski, Alexandra A1 - Petri, Maximilian A1 - Placke, Jan-Malte A1 - Raub, Simon A1 - Salva, Katrin A1 - Schlott, Swantje A1 - Sody, Elsa A1 - Steingrube, Nadine A1 - Stoffels, Ingo A1 - Ugurel, Selma A1 - Sondermann, Wiebke A1 - Zaremba, Anne A1 - Gebhardt, Christoffer A1 - Booken, Nina A1 - Christolouka, Maria A1 - Buder-Bakhaya, Kristina A1 - Bokor-Billmann, Therezia A1 - Alexander Enk A1 - Gholam, Patrick A1 - Hänßle, Holger A1 - Salzmann, Martin A1 - Schäfer, Sarah A1 - Schäkel, Knut A1 - Schank, Timo A1 - Bohne, Ann-Sophie A1 - Deffaa, Sophia A1 - Drerup, Katharina A1 - Egberts, Friederike A1 - Erkens, Anna-Sophie A1 - Ewald, Benjamin A1 - Falkvoll, Sandra A1 - Gerdes, Sascha A1 - Harde, Viola A1 - Hauschild, Axel A1 - Jost, Marion A1 - Kosova, Katja A1 - Messinger, Laetitia A1 - Metzner, Malte A1 - Morrison, Kirsten A1 - Motamedi, Rogina A1 - Pinczker, Anja A1 - Rosenthal, Anne A1 - Scheller, Natalie A1 - Schwarz, Thomas A1 - Stölzl, Dora A1 - Thielking, Federieke A1 - Tomaschewski, Elena A1 - Wehkamp, Ulrike A1 - Weichenthal, Michael A1 - Wiedow, Oliver A1 - Bär, Claudia Maria A1 - Bender-Säbelkampf, Sophia A1 - Horbrügger, Marc A1 - Karoglan, Ante A1 - Kraas, Luise A1 - Faulhaber, Jörg A1 - Geraud, Cyrill A1 - Guo, Ze A1 - Koch, Philipp A1 - Linke, Miriam A1 - Maurier, Nolwenn A1 - Müller, Verena A1 - Thomas, Benjamin A1 - Jochen Sven Utikal A1 - Alamri, Ali Saeed M. A1 - Baczako, Andrea A1 - Berking, Carola A1 - Betke, Matthias A1 - Haas, Carolin A1 - Hartmann, Daniela A1 - Heppt, Markus V. A1 - Kilian, Katharina A1 - Krammer, Sebastian A1 - Lapczynski, Natalie Lidia A1 - Mastnik, Sebastian A1 - Nasifoglu, Suzan A1 - Ruini, Cristel A1 - Sattler, Elke A1 - Schlaak, Max A1 - Wolff, Hans A1 - Achatz, Birgit A1 - Bergbreiter, Astrid A1 - Drexler, Konstantin A1 - Ettinger, Monika A1 - Haferkamp, Sebastian A1 - Halupczok, Anna A1 - Hegemann, Marie A1 - Dinauer, Verena A1 - Maagk, Maria A1 - Mickler, Marion A1 - Philipp, Biance A1 - Wilm, Anna A1 - Wittmann, Constanze A1 - Gesierich, Anja A1 - Glutsch, Valerie A1 - Kahlert, Katrin A1 - Kerstan, Andreas A1 - Schilling, Bastian A1 - Schrüfer, Philipp VL - 111 ER - TY - JOUR T1 - Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task JF - European Journal of Cancer Y1 - 2019 A1 - Brinker, Titus J. A1 - Hekler, Achim A1 - Alexander Enk A1 - Klode, Joachim A1 - Hauschild, Axel A1 - Berking, Carola A1 - Schilling, Bastian A1 - Haferkamp, Sebastian A1 - Schadendorf, Dirk A1 - Holland-Letz, Tim A1 - Jochen Sven Utikal A1 - von Kalle, Christof A1 - Ludwig-Peitsch, Wiebke A1 - Sirokay, Judith A1 - Heinzerling, Lucie A1 - Albrecht, Magarete A1 - Baratella, Katharina A1 - Bischof, Lena A1 - Chorti, Eleftheria A1 - Dith, Anna A1 - Drusio, Christina A1 - Giese, Nina A1 - Gratsias, Emmanouil A1 - Griewank, Klaus A1 - Hallasch, Sandra A1 - Hanhart, Zdenka A1 - Herz, Saskia A1 - Hohaus, Katja A1 - Jansen, Philipp A1 - Jockenhöfer, Finja A1 - Kanaki, Theodora A1 - Knispel, Sarah A1 - Leonhard, Katja A1 - Martaki, Anna A1 - Matei, Liliana A1 - Matull, Johanna A1 - Olischewski, Alexandra A1 - Petri, Maximilian A1 - Placke, Jan-Malte A1 - Raub, Simon A1 - Salva, Katrin A1 - Schlott, Swantje A1 - Sody, Elsa A1 - Steingrube, Nadine A1 - Stoffels, Ingo A1 - Ugurel, Selma A1 - Zaremba, Anne A1 - Gebhardt, Christoffer A1 - Booken, Nina A1 - Christolouka, Maria A1 - Buder-Bakhaya, Kristina A1 - Bokor-Billmann, Therezia A1 - Alexander Enk A1 - Gholam, Patrick A1 - Hänßle, Holger A1 - Salzmann, Martin A1 - Schäfer, Sarah A1 - Schäkel, Knut A1 - Schank, Timo A1 - Bohne, Ann-Sophie A1 - Deffaa, Sophia A1 - Drerup, Katharina A1 - Egberts, Friederike A1 - Erkens, Anna-Sophie A1 - Ewald, Benjamin A1 - Falkvoll, Sandra A1 - Gerdes, Sascha A1 - Harde, Viola A1 - Hauschild, Axel A1 - Jost, Marion A1 - Kosova, Katja A1 - Messinger, Laetitia A1 - Metzner, Malte A1 - Morrison, Kirsten A1 - Motamedi, Rogina A1 - Pinczker, Anja A1 - Rosenthal, Anne A1 - Scheller, Natalie A1 - Schwarz, Thomas A1 - Stölzl, Dora A1 - Thielking, Federieke A1 - Tomaschewski, Elena A1 - Wehkamp, Ulrike A1 - Weichenthal, Michael A1 - Wiedow, Oliver A1 - Bär, Claudia Maria A1 - Bender-Säbelkampf, Sophia A1 - Horbrügger, Marc A1 - Karoglan, Ante A1 - Kraas, Luise A1 - Faulhaber, Jörg A1 - Geraud, Cyrill A1 - Guo, Ze A1 - Koch, Philipp A1 - Linke, Miriam A1 - Maurier, Nolwenn A1 - Müller, Verena A1 - Thomas, Benjamin A1 - Jochen Sven Utikal A1 - Alamri, Ali Saeed M. A1 - Baczako, Andrea A1 - Berking, Carola A1 - Betke, Matthias A1 - Haas, Carolin A1 - Hartmann, Daniela A1 - Heppt, Markus V. A1 - Kilian, Katharina A1 - Krammer, Sebastian A1 - Lapczynski, Natalie Lidia A1 - Mastnik, Sebastian A1 - Nasifoglu, Suzan A1 - Ruini, Cristel A1 - Sattler, Elke A1 - Schlaak, Max A1 - Wolff, Hans A1 - Achatz, Birgit A1 - Bergbreiter, Astrid A1 - Drexler, Konstantin A1 - Ettinger, Monika A1 - Haferkamp, Sebastian A1 - Halupczok, Anna A1 - Hegemann, Marie A1 - Dinauer, Verena A1 - Maagk, Maria A1 - Mickler, Marion A1 - Philipp, Biance A1 - Wilm, Anna A1 - Wittmann, Constanze A1 - Gesierich, Anja A1 - Glutsch, Valerie A1 - Kahlert, Katrin A1 - Kerstan, Andreas A1 - Schilling, Bastian A1 - Schrüfer, Philipp VL - 113 ER - TY - JOUR T1 - Digital inequalities in the age of artificial intelligence and big data JF - Human Behavior and Emerging Technologies Y1 - 2019 A1 - Lutz, Christoph VL - 1 IS - 2 ER - TY - CONF T1 - Does automation influence career decisions among South African students? T2 - 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 '19 Y1 - 2019 A1 - Mbilini, Sakhumzi N. A1 - le Roux, Daniel B. A1 - Parry, Douglas A. JF - 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 '19 PB - ACM Press CY - Skukuza, South AfricaNew York, New York, USA SN - 9781450372657 ER - TY - JOUR T1 - Does the use of synchrony and artificial intelligence in video interviews affect interview ratings and applicant attitudes? JF - Computers in Human Behavior Y1 - 2019 A1 - Suen, Hung-Yue A1 - Chen, Mavis Yi-Ching A1 - Lu, Shih-Hao VL - 98 ER - TY - BOOK T1 - Educating those most impacted by artificial intelligence Y1 - 2019 A1 - Gemmell, Laura A1 - Wenham, Lucy A1 - Hauert, Sabine ED - Isotani, Seiji ED - Millán, Eva ED - Ogan, Amy ED - Hastings, Peter ED - McLaren, Bruce ED - Luckin, Rose PB - Springer International Publishing CY - Cham VL - 11626 SN - 978-3-030-23206-1 ER - TY - CONF T1 - The future of human-AI collaboration: A taxonomy of design knowledge for hybrid intelligence systems T2 - Hawaii International Conference on System Sciences (HICSS) Y1 - 2019 A1 - Dominik Dellermann A1 - Adrian Calma A1 - Nikolaus Lipusch A1 - Thorsten Weber A1 - Sascha Weigel A1 - Philipp Ebel AB - Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in current real-world business applications cannot yet be solved by machines alone. We, therefore, identify the need for developing socio-technological ensembles of humans and machines. Such systems possess the ability to accomplish complex goals by combining human and artificial intelligence to collectively achieve superior results and continuously improve by learning from each other. Thus, the need for structured design knowledge for those systems arises. Following a taxonomy development method, this article provides three main contributions: First, we present a structured overview of interdisciplinary research on the role of humans in the machine learning pipeline. Second, we envision hybrid intelligence systems and conceptualize the relevant dimensions for system design for the first time. Finally, we offer useful guidance for system developers during the implementation of such applications. JF - Hawaii International Conference on System Sciences (HICSS) UR - https://www.alexandria.unisg.ch/publications/254994 ER - TY - RPRT T1 - The future of the work in America Y1 - 2019 A1 - Susan Lund A1 - James Manyika A1 - Liz Hilton Segal A1 - Andre Dua A1 - Bryan Hancock A1 - Scott Rutherford A1 - Brent Macon KW - consulting reports JF - McKinsey Global Institute UR - https://www.mckinsey.com/featured-insights/future-of-work/the-future-of-work-in-america-people-and-places-today-and-tomorrow ER - TY - RPRT T1 - Global commission on the future of work Y1 - 2019 A1 - Cyril Ramaphosa A1 - Stefan Lofven KW - government reports JF - Work for a brighter future PB - International Labour Organization UR - https://www.ilo.org/global/topics/future-of-work/WCMS_569528/lang--en/index.htm ER - TY - Generic T1 - How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany T2 - Electronic Government Y1 - 2019 A1 - Balta, Dian A1 - Kuhn, Peter A1 - Sellami, Mahdi A1 - Kulus, Daniel A1 - Lieven, Claudius A1 - Krcmar, Helmut ED - Lindgren, Ida ED - Janssen, Marijn ED - Lee, Habin ED - Polini, Andrea ED - Rodríguez Bolívar, Manuel Pedro ED - Scholl, Hans Jochen ED - Tambouris, Efthimios AB - 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. JF - Electronic Government PB - Springer International Publishing CY - Cham VL - Lecture Notes in Computer Science 11685 SN - 978-3-030-27324-8 ER - TY - JOUR T1 - Hybrid Intelligence JF - Business & Information Systems Engineering Y1 - 2019 A1 - Dellermann, Dominik A1 - Ebel, Philipp A1 - Söllner, Matthias A1 - Leimeister, Jan Marco VL - 61 IS - 5 ER - TY - CONF T1 - Impacts of Artificial Intelligence on Public Administration: A Systematic Literature Review T2 - 2019 14th Iberian Conference on Information Systems and Technologies (CISTI) Y1 - 2019 A1 - João Reis A1 - Paula Espírito Santo A1 - Lisbon, Portugal A1 - Nuno Melão JF - 2019 14th Iberian Conference on Information Systems and Technologies (CISTI) SN - 978-989-98434-9-3 UR - https://ieeexplore.ieee.org/document/8760778 ER - TY - JOUR T1 - Machine learning concepts, concerns and opportunities for a pediatric radiologist JF - Pediatric Radiology Y1 - 2019 A1 - Moore, Michael M. A1 - Slonimsky, Einat A1 - Long, Aaron D. A1 - Sze, Raymond W. A1 - Iyer, Ramesh S. VL - 49 IS - 4 ER - TY - JOUR T1 - A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic JF - JCO Clinical Cancer Informatics Y1 - 2019 A1 - Salvucci, Manuela A1 - Rahman, Arman A1 - Resler, Alexa J. A1 - Udupi, Girish M. A1 - McNamara, Deborah A. A1 - Kay, Elaine W. A1 - Laurent-Puig, Pierre A1 - Longley, Daniel B. A1 - Johnston, Patrick G. A1 - Lawler, Mark A1 - Wilson, Richard A1 - Salto-Tellez, Manuel A1 - Van Schaeybroeck, Sandra A1 - Rafferty, Mairin A1 - Gallagher, William M. A1 - Rehm, Markus A1 - Prehn, Jochen H.M. IS - 3 ER - TY - JOUR T1 - Mitigating bias in algorithmic employment screening: Evaluating claims and practices Y1 - 2019 A1 - Manish Raghavan A1 - Solon Barocas A1 - Jon KleinbergKaren Levy KW - social power of algorithms AB -

There has been rapidly growing interest in the use of algorithms for employment assessment,especially as a means to address or mitigate bias in hiring. Yet, to date, little is known abouthow these methods are being used in practice. How are algorithmic assessments built, vali-dated, and examined for bias? In this work, we document and assess the claims and practicesof companies offering algorithms for employment assessment, using a methodology that can beapplied to evaluate similar applications and issues of bias in other domains. In particular, weidentify vendors of algorithmic pre-employment assessments (i.e., algorithms to screen candi-dates), document what they have disclosed about their development and validation procedures,and evaluate their techniques for detecting and mitigating bias. We find that companies’ for-mulation of “bias” varies, as do their approaches to dealing with it. We also discuss the variouschoices vendors make regarding data collection and prediction targets, in light of the risks andtrade-offs that these choices pose. We consider the implications of these choices and we raise anumber of technical and legal considerations.

UR - https://www.researchgate.net/publication/333971698_Mitigating_Bias_in_Algorithmic_Employment_Screening_Evaluating_Claims_and_Practices ER - TY - JOUR T1 - The moderating roles of perceived organizational support and competitive psychological climate JF - Tourism Management Y1 - 2019 A1 - Li, Jun (Justin) A1 - Bonn, Mark A. A1 - Ye, Ben Haobin VL - 73 ER - TY - JOUR T1 - Negotiated and reciprocal exchange structures in human-agent cooperation JF - Computers in Human Behavior Y1 - 2019 A1 - Chiou, Erin K. A1 - Lee, John D. A1 - Su, Tianshuo VL - 90 ER - TY - JOUR T1 - Nurses' Views on the Potential Use of Robots in the Pediatric Unit JF - Journal of Pediatric Nursing Y1 - 2019 A1 - Liang, Hwey-Fang A1 - Wu, Kuang-Ming A1 - Weng, Cheng-Hsing A1 - Hsieh, Hui-Wen VL - 47 ER - TY - JOUR T1 - The present and future of deep learning in radiology JF - European Journal of Radiology Y1 - 2019 A1 - Saba, Luca A1 - Biswas, Mainak A1 - Kuppili, Venkatanareshbabu A1 - Cuadrado Godia, Elisa A1 - Suri, Harman S. A1 - Edla, Damodar Reddy A1 - Omerzu, Tomaž A1 - Laird, John R. A1 - Khanna, Narendra N. A1 - Mavrogeni, Sophie A1 - Protogerou, Athanasios A1 - Sfikakis, Petros P. A1 - Viswanathan, Vijay A1 - Kitas, George D. A1 - Nicolaides, Andrew A1 - Gupta, Ajay A1 - Suri, Jasjit S. VL - 114 UR - https://doi.org/10.1016/j.ejrad.2019.02.038 ER - TY - JOUR T1 - Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis JF - Trends in Cancer Y1 - 2019 A1 - Levine, Adrian B. A1 - Schlosser, Colin A1 - Grewal, Jasleen A1 - Coope, Robin A1 - Jones, Steve J.M. A1 - Yip, Stephen VL - 5 IS - 3 ER - TY - JOUR T1 - Scaling up analogical innovation with crowds and AI JF - Proceedings of the National Academy of Sciences Y1 - 2019 A1 - Kittur, Aniket A1 - Yu, Lixiu A1 - Hope, Tom A1 - Chan, Joel A1 - Lifshitz-Assaf, Hila A1 - Gilon, Karni A1 - Ng, Felicia A1 - Kraut, Robert E. A1 - Shahaf, Dafna VL - 116 IS - 6 ER - TY - BOOK T1 - Steps toward a scaffolding design framework Y1 - 2019 A1 - Correia, António A1 - Jameel, Shoaib A1 - Paredes, Hugo A1 - Fonseca, Benjamim A1 - Schneider, Daniel ED - Khan, Vassillis-Javed ED - Papangelis, Konstantinos ED - Lykourentzou, Ioanna ED - Markopoulos, Panos PB - Springer International Publishing CY - Cham SN - 978-3-030-12333-8 ER - TY - BOOK T1 - Technology and Work Worth Doing (Not Jobs) Post-AlphaGo: A World-Building Workshop on the Future of Artificial Intelligence Y1 - 2019 A1 - Pendleton-Jullian, Ann A1 - Lempert, Robert PB - RAND Corporation ER - TY - JOUR T1 - There is no general AI: Why Turing machines cannot pass the Turing test Y1 - 2019 A1 - Jobst Landgrebe UR - https://arxiv.org/abs/1906.05833 ER - TY - JOUR T1 - Toward understanding the impact of artificial intelligence on labor JF - Proceedings of the National Academy of Sciences Y1 - 2019 A1 - Frank, Morgan R A1 - Autor, David A1 - Bessen, James E A1 - Brynjolfsson, Erik A1 - Cebrian, Manuel A1 - Deming, David J A1 - Feldman, Maryann A1 - Groh, Matthew A1 - Lobo, José A1 - Moro, Esteban A1 - Wang, Dashun A1 - Youn, Hyejin A1 - Rahwan, Iyad AB -

Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a renewed call for policy efforts to address the consequences of technological change. In this paper we discuss the barriers that inhibit scientists from measuring the effects of AI and automation on the future of work. These barriers include the lack of high-quality data about the nature of work (e.g., the dynamic requirements of occupations), lack of empirically informed models of key microlevel processes (e.g., skill substitution and human–machine complementarity), and insufficient understanding of how cognitive technologies interact with broader economic dynamics and institutional mechanisms (e.g., urban migration and international trade policy). Overcoming these barriers requires improvements in the longitudinal and spatial resolution of data, as well as refinements to data on workplace skills. These improvements will enable multidisciplinary research to quantitatively monitor and predict the complex evolution of work in tandem with technological progress. Finally, given the fundamental uncertainty in predicting technological change, we recommend developing a decision framework that focuses on resilience to unexpected scenarios in addition to general equilibrium behavior.

VL - 116 UR - http://www.pnas.org/lookup/doi/10.1073/pnas.1900949116 ER - TY - JOUR T1 - Transforming the communication between citizens and government through AI-guided chatbots JF - Government Information Quarterly Y1 - 2019 A1 - Androutsopoulou, Aggeliki A1 - Karacapilidis, Nikos A1 - Loukis, Euripidis A1 - Charalabidis, Yannis VL - 36 UR - https://doi.org/10.1016/j.giq.2018.10.001 IS - 2 ER - TY - JOUR T1 - Will Artificial Intelligence Replace Radiologists? JF - Radiology: Artificial Intelligence Y1 - 2019 A1 - Langlotz, Curtis P. VL - 1 IS - 3 ER - TY - JOUR T1 - Will artificial intelligence take over human resources recruitment and selection? JF - Network Intelligence Studies Y1 - 2019 A1 - Bilal Hmoud A1 - Varallya Laszlo KW - artificial intelligence KW - human resources information systems KW - recruitment and selection VL - VII UR - https://ideas.repec.org/a/cmj/networ/y2019i13p21-30.html IS - 13 ER - TY - JOUR T1 - Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review JF - Journal of Affective Disorders Y1 - 2018 A1 - Lee, Yena A1 - Ragguett, Renee-Marie A1 - Mansur, Rodrigo B. A1 - Boutilier, Justin J. A1 - Rosenblat, Joshua D. A1 - Trevizol, Alisson A1 - Brietzke, Elisa A1 - Lin, Kangguang A1 - Pan, Zihang A1 - Subramaniapillai, Mehala A1 - Chan, Timothy C.Y. A1 - Fus, Dominika A1 - Park, Caroline A1 - Musial, Natalie A1 - Zuckerman, Hannah A1 - Chen, Vincent Chin-Hung A1 - Ho, Roger A1 - Rong, Carola A1 - McIntyre, Roger S. VL - 241 ER - TY - JOUR T1 - Artificial intelligence can transform the economy Y1 - 2018 A1 - Erik Brynjolfsson A1 - Xiang Hui A1 - Meng Liu UR - https://www.washingtonpost.com/opinions/artificial-intelligence-can-transform-the-economy/2018/09/18/50c9c9c8-bab8-11e8-bdc0-90f81cc58c5d_story.html ER - TY - BOOK T1 - Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide Y1 - 2018 A1 - Vassilis Galanos ED - Kreps, David ED - Ess, Charles ED - Leenen, Louise ED - Kimppa, Kai PB - Springer International Publishing CY - Cham VL - 537 SN - 978-3-319-99604-2 ER - TY - BOOK T1 - Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide Y1 - 2018 A1 - Vassilis Galanos ED - Kreps, David ED - Ess, Charles ED - Leenen, Louise ED - Kimppa, Kai PB - Springer International Publishing CY - Cham VL - 537 SN - 978-3-319-99604-2 ER - TY - RPRT T1 - As s essing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour Y1 - 2018 A1 - Emilia Gómez A1 - Carlos Castillo A1 - Vicky Charisi A1 - Verónica Dahl A1 - Gustavo Deco A1 - Blagoj Delipetrev A1 - Nicole Dewandre A1 - Miguel Ángel González-Ballester A1 - Fabien Gouyon A1 - José Hernández-Orallo A1 - Perfecto Herrera A1 - Anders Jonsson A1 - Ansgar Koene A1 - Martha Larson A1 - Ramón López de Mántaras A1 - Bertin Martens A1 - Marius Miron A1 - Rubén Moreno-Bote A1 - Nuria Oliver A1 - Antonio Puertas Gallardo A1 - Heike Schweitzer A1 - Nuria Sebastian A1 - Xavier Serra A1 - Joan Serrà A1 - Songül Tolan A1 - Karina Vold UR - https://arxiv.org/ftp/arxiv/papers/1806/1806.03192.pdf ER - TY - JOUR T1 - Autonomous tools and design: a triple-loop approach to human-machine learning JF - Communications of the ACM Y1 - 2018 A1 - Seidel, Stefan A1 - Berente, Nicholas A1 - Lindberg, Aron A1 - Lyytinen, Kalle A1 - Jeffrey V Nickerson PB - ACM VL - 62 ER - TY - JOUR T1 - Autonomous Tools in System Design: Reflective Practice in Ubisofts Ghost Recon Wildlands Project JF - Computer Y1 - 2018 A1 - Seidel, Stefan A1 - Berente, Nicholas A1 - Martinez, Beno\^ıt A1 - Lindberg, Aron A1 - Lyytinen, Kalle A1 - Jeffrey V Nickerson PB - IEEE VL - 51 ER - TY - JOUR T1 - ‘The beginning of a wave’: A.I. Tiptoes into the workplace JF - The NewYork Times Y1 - 2018 A1 - Steve Lohr KW - AI KW - impacts UR - https://www.nytimes.com/2018/08/05/technology/workplace-ai.html ER - TY - JOUR T1 - Boundary spanning at the science–policy interface: the practitioners’ perspectives JF - Sustainability Science Y1 - 2018 A1 - Bednarek, A. T. A1 - Wyborn, C. A1 - Cvitanovic, C. A1 - Meyer, R. A1 - Colvin, R. M. A1 - Addison, P. F. E. A1 - Close, S. L. A1 - Curran, K. A1 - Farooque, M. A1 - Goldman, E. A1 - Hart, D. A1 - Mannix, H. A1 - McGreavy, B. A1 - Parris, A. A1 - Posner, S. A1 - Robinson, C. A1 - Ryan, M. A1 - Leith, P. VL - 13 IS - 4 ER - TY - JOUR T1 - A critical approach to human helping in information systems: Heteromation in the Brazilian correspondent banking system JF - Information and Organization Y1 - 2018 A1 - Diane E. Bailey A1 - Eduardo H. Diniz A1 - Bonnie A. Nardi A1 - Paul M. Leonardi A1 - Dan Sholler VL - 28 IS - 3 ER - TY - JOUR T1 - Cryptocurrency, Artificial Intelligence and basic income as innovative technological system JF - Path of Science Y1 - 2018 A1 - Sopilnyk, Lyubomyr A1 - Shevchuk, Andriy A1 - Kopytko, Vasyl VL - 4 IS - 8 ER - TY - JOUR T1 - DEFINITION, APPLICATION AND INFLUENCE OF ARTI FICIAL INTELLIGENCE ON DESIGN INDUSTRIES JF - Landscape Architecture Frontiers Y1 - 2018 A1 - Linghao Cai A1 - Ling Fan A1 - Wenbo Lai A1 - LONG, Ying A1 - Peng Wang A1 - Xiangyang Xin VL - 6 IS - 2 ER - TY - JOUR T1 - Developing robots: The need for an ethical framework JF - European View Y1 - 2018 A1 - Leveringhaus, Alex VL - 17 IS - 1 ER - TY - JOUR T1 - The discourse approach to boundary identification and corpus construction for theory review articles JF - Journal of the Association for Information Systems Y1 - 2018 A1 - Kai R. Larsen A1 - Dirik S. Hovorka A1 - Alan R. Dennis A1 - Jevin D. West KW - article identification KW - boundary identification KW - citation search KW - keyword search KW - literature review KW - machine learning KW - research review KW - review article UR - https://www.researchgate.net/publication/325215971_Understanding_the_Elephant_The_Discourse_Approach_to_Boundary_Identification_and_Corpus_Construction_for_Theory_Review_Articles ER - TY - MGZN T1 - Embracing the new world of work Y1 - 2018 A1 - John M. Lewin JF - Strategic Finance UR - https://sfmagazine.com/post-entry/june-2018-embracing-the-new-world-of-work/ ER - TY - JOUR T1 - foo.castr: visualising the future AI workforce JF - Big Data Analytics Y1 - 2018 A1 - Amador Diaz Lopez, Julio A1 - Molina-Solana, Miguel A1 - Kennedy, Mark T. VL - 3 IS - 1 ER - TY - CONF T1 - A framework for understanding chatbots and their future T2 - the 11th International WorkshopProceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering - CHASE '18 Y1 - 2018 A1 - Paikari, Elahe A1 - van der Hoek, André JF - the 11th International WorkshopProceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering - CHASE '18 PB - ACM Press CY - Gothenburg, SwedenNew York, New York, USA SN - 9781450357258 ER - TY - MGZN T1 - The Future of Work: The Trustless, by Ken Liu Y1 - 2018 A1 - Ken Liu JF - Wired UR - https://www.wired.com/story/future-of-work-trustless-ken-liu/ ER - TY - JOUR T1 - 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 JF - Journal of Open Innovation: Technology, Market, and Complexity Y1 - 2018 A1 - Lee, MinHwa A1 - Yun, JinHyo A1 - Pyka, Andreas A1 - Won, DongKyu A1 - Kodama, Fumio A1 - Schiuma, Giovanni A1 - Park, HangSik A1 - Jeon, Jeonghwan A1 - Park, KyungBae A1 - Jung, KwangHo A1 - Yan, Min-Ren A1 - Lee, SamYoul A1 - Zhao, Xiaofei VL - 4 IS - 3 ER - TY - JOUR T1 - Human and smart machine co-learning with brain computer interface JF - IEEE SMC Magazine Y1 - 2018 A1 - Chang - Shing Lee A1 - Mei - Hui Wang A1 - Li - Wei Ko A1 - Naoyuki Kubota A1 - Lu - An Lin A1 - Shinya Kitaoka A1 - Yu - Te Wang A1 - Shun - Feng Su KW - human and machine inttelligence VL - 4 UR - https://arxiv.org/abs/1802.06521 ER - TY - CONF T1 - Image Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science T2 - Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences Y1 - 2018 A1 - Munoz, J. Pablo A1 - Boger, Rebecca A1 - Dexter, Scott A1 - Low, Russanne A1 - Li, Justin JF - Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences PB - Hawaii International Conference on System Sciences UR - http://hdl.handle.net/10125/49887http://hdl.handle.net/10125/50247 ER - TY - BOOK T1 - Machine Learning for Ecology and Sustainable Natural Resource ManagementUse of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook Y1 - 2018 A1 - Huettmann, Falk A1 - Craig, Erica H. A1 - Herrick, Keiko A. A1 - Baltensperger, Andrew P. A1 - Grant Humphries A1 - Lieske, David J. A1 - Miller, Katharine A1 - Mullet, Timothy C. A1 - Oppel, Steffen A1 - Resendiz, Cynthia A1 - Rutzen, Imme A1 - Schmid, Moritz S. A1 - Suwal, Madan K. A1 - Young, Brian D. ED - Grant Humphries ED - Magness, Dawn R. ED - Huettmann, Falk PB - Springer International Publishing CY - Cham SN - 978-3-319-96976-3 ER - TY - JOUR T1 - Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR) JF - Systematic Reviews Y1 - 2018 A1 - Elaine Beller A1 - Justin Clark A1 - Guy Tsafnat A1 - Clive Adams A1 - Heinz Diehl A1 - Hans Lund A1 - Mourad Ouzzani A1 - Kristina Thayer A1 - James Thomas A1 - Tari Turner A1 - Jun Xia A1 - Karen Robinson A1 - Paul Glasziou KW - automation KW - Collaboration KW - Systematic review AB - 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 'Vienna Principles' 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. PB - Springer IS - 77 ER - TY - JOUR T1 - Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR) JF - Systematic Reviews Y1 - 2018 A1 - Elaine Beller A1 - Justin Clark A1 - Guy Tsafnat A1 - Clive Adams A1 - Heinz Diehl A1 - Hans Lund A1 - Mourad Ouzzani A1 - Kristina Thayer A1 - James Thomas A1 - Tari Turner A1 - Jun Xia A1 - Karen Robinson A1 - Paul Glasziou KW - science VL - 7 IS - 1 ER - TY - JOUR T1 - Medicine and the rise of the robots: a qualitative review of recent advances of artificial intelligence in health JF - BMJ Leader Y1 - 2018 A1 - Loh, Erwin VL - 2 IS - 2 ER - TY - RPRT T1 - Occupational Classifications With A Machine Learning Approach Y1 - 2018 A1 - Akina Ikudo A1 - Julia Lane A1 - Joseph Staudt A1 - Bruce A. Weinberg KW - administrative data KW - machine learning KW - occupational classifications KW - transaction data KW - UMETRICS JF - IZA DP No. 11738 UR - https://www.iza.org/publications/dp/11738/occupational-classifications-a-machine-learning-approach ER - TY - JOUR T1 - Reports of the Workshops Held at the Sixth AAAI Conference on Human Computation and Crowdsourcing JF - AI Magazine Y1 - 2018 A1 - Aroyo, Lora A1 - Dumitrache, Anca A1 - Jeffrey V Nickerson A1 - Lease, Matthew A1 - Michelucci, Pietro VL - 39 ER - TY - RPRT T1 - Skill shift automation and the future of the workforce Y1 - 2018 A1 - Jaccques Bughin A1 - Eric Hazan A1 - Susan Lund A1 - Peter Dahlstrom A1 - Anna Wiesinger A1 - Amresh Subramaniam JF - McKinsey Global Institute UR - https://www.mckinsey.com/featured-insights/future-of-work/skill-shift-automation-and-the-future-of-the-workforce ER - TY - JOUR T1 - Sustainable skills for the world of work in the digital age JF - Systems Research and Behavioral Science Y1 - 2018 A1 - Sousa, Maria José A1 - Wilks, Daniela ED - Laszlo, Alexander VL - 35 IS - 4 ER - TY - JOUR T1 - Is There a Smarter Path to Artificial Intelligence? Some Experts Hope So JF - The NewYork Times Y1 - 2018 A1 - Steve Lohr UR - https://www.nytimes.com/2018/06/20/technology/deep-learning-artificial-intelligence.html ER - TY - JOUR T1 - This time it might be different: Analysis of the impact of digitalization on the labour market JF - European Scientific Journal ESJ Y1 - 2018 A1 - Lovergine, Saverio A1 - Pellero, Alberto VL - 14 IS - 36 ER - TY - RPRT T1 - Artificial Intelligence For Social Good Y1 - 2017 A1 - Gregory D. Hager A1 - Ann Drobnis A1 - Fei Fang A1 - Rayid Ghani A1 - Amy Greenwald A1 - Terah Lyons A1 - David C. Parkes A1 - Jason Schultz A1 - Suchi Saria A1 - Stephen F. Smith A1 - Milind Tambe UR - https://cra.org/ccc/wp-content/uploads/sites/2/2016/04/AI-for-Social-Good-Workshop-Report.pdf N1 - Sponsored by the Computing Community Consortium (CCC) ER - TY - JOUR T1 - Artificial intelligence in healthcare: past, present and future JF - Stroke and Vascular Neurology Y1 - 2017 A1 - Jiang, Fei A1 - Jiang, Yong A1 - Zhi, Hui A1 - Dong, Yi A1 - Li, Hao A1 - Ma, Sufeng A1 - Wang, Yilong A1 - Dong, Qiang A1 - Shen, Haipeng A1 - Wang, Yongjun VL - 2 IS - 4 ER - TY - JOUR T1 - Artificial intelligence in research JF - Science Y1 - 2017 A1 - Musib, Mrinal A1 - Wang, Feng A1 - Tarselli, Michael A. A1 - Yoho, Rachel A1 - Yu, Kun-Hsing A1 - Andrés, Rigoberto Medina A1 - Greenwald, Noah F. A1 - Pan, Xubin A1 - Lee, Chien-Hsiu A1 - Zhang, Jian A1 - Dutton-Regester, Ken A1 - Johnston, Jake Wyatt A1 - Sharafeldin, Icell Mahmoud VL - 357 IS - 6346 ER - TY - JOUR T1 - Automation, computerisation and future employment in Singapore JF - Journal of Southeast Asian Economies Y1 - 2017 A1 - King Fuei Lee KW - economics of automation VL - 34 UR - https://mpra.ub.uni-muenchen.de/79961/ ER - TY - Generic T1 - Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study T2 - Workshop on Engineering Applications (WEA 2017): Applied Computer Sciences in Engineering Y1 - 2017 A1 - Aguirre, Santiago A1 - Rodriguez, Alejandro ED - Figueroa-García, Juan Carlos ED - López-Santana, Eduyn Ramiro ED - Villa-Ramírez, José Luis ED - Ferro-Escobar, Roberto JF - Workshop on Engineering Applications (WEA 2017): Applied Computer Sciences in Engineering PB - Springer International Publishing CY - Cham VL - 742 SN - 978-3-319-66962-5 ER - TY - BOOK T1 - Big Data in Organizations and the Role of Human Resource Management Y1 - 2017 A1 - Peter Lang UR - https://www.jstor.org/stable/j.ctv9hj9z6.1 ER - TY - Generic T1 - Blending machine and human learning processes T2 - Hawai'i International Conference on System Sciences Y1 - 2017 A1 - Kevin Crowston A1 - Carsten Østerlund A1 - Lee, Tae Kyoung AB -

Citizen science projects rely on contributions from volunteers to achieve their scientific goals and so face a dilemma: providing volunteers with explicit training might increase the quality of contributions, but at the cost of losing the work done by newcomers during the training period, which for many is the only work they will contribute to the project. Based on research in cognitive science on how humans learn to classify images, we have designed an approach to use machine learning to guide the presentation of tasks to newcomers that help them more quickly learn how to do the image classification task while still contributing to the work of the project. A Bayesian model for tracking this learning is presented.

JF - Hawai'i International Conference on System Sciences UR - http://hdl.handle.net/10125/41159 ER - TY - Generic T1 - Chatbots as assistants, an architectural framework T2 - CASCON '17 Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering Y1 - 2017 A1 - Adam Di Prospera A1 - Nojan norouzi A1 - Morios Fokaefs A1 - Marin Litoiu JF - CASCON '17 Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering UR - https://dl.acm.org/citation.cfm?id=3172805 ER - TY - CONF T1 - Data tracking in search of workflows T2 - the 2017 ACM ConferenceProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 Y1 - 2017 A1 - Holten Møller, Naja L. A1 - Bjørn, Pernille A1 - Villumsen, Jonas Christoffer A1 - Hancock, Tine C. Hansen A1 - Aritake, Toshimitsu A1 - Tani, Shigeyuki JF - the 2017 ACM ConferenceProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 PB - ACM Press CY - Portland, Oregon, USANew York, New York, USA SN - 9781450343350 ER - TY - JOUR T1 - Employment, inequality and ethics in the digital age JF - The IPPR Commission on Economic Justice Y1 - 2017 A1 - Mathew Lawrence A1 - Carys Roberts A1 - Loren King UR - https://www.ippr.org/publications/managing-automation ER - TY - CONF T1 - Examining crowd work and gig work through the historical lens of piecework T2 - Proceedings of the CHI Conference on Human Factors in Computing Systems Y1 - 2017 A1 - Alkhatib, Ali A1 - Michael S. Bernstein A1 - Levi, Margaret JF - Proceedings of the CHI Conference on Human Factors in Computing Systems PB - ACM SN - 1450346553 ER - TY - JOUR T1 - Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science JF - Classical and Quantum Gravity Y1 - 2017 A1 - Michael Zevin A1 - Scott Coughlin A1 - Sara Bahaadini A1 - Emre Besler A1 - Neda Rohani A1 - Sarah Allen A1 - Miriam Cabero A1 - Kevin Crowston A1 - Aggelos Katsaggelos A1 - Shane Larson A1 - Tae Kyoung Lee A1 - Chris Lintott A1 - Tyson Littenberg A1 - Andrew Lundgren A1 - Carsten Oesterlund A1 - Joshua Smith A1 - Laura Trouille A1 - Vicky Kalogera VL - 34 ER - TY - RPRT T1 - How fortune 500 firms are adopting online freelancing platforms Y1 - 2017 A1 - Greetje F. Corporaal A1 - Vili Lehdonvirta JF - Oxford Internet Institute PB - University of Oxford UR - https://www.oii.ox.ac.uk/publications/platform-sourcing.pdf ER - TY - JOUR T1 - Impact of robotics, RPA and AI on the insurance industry JF - The Journal of Financial Perspectives: Insurance Y1 - 2017 A1 - Chris Lamberton A1 - Damiano Brigo A1 - Dave Hoy UR - https://www.ey.com/Publication/vwLUAssets/ey-impact-of-robotics-rpa-and-ai-on-the-insurance-industry-challenges-and-opportunities/%24File/ey-impact-of-robotics-rpa-and-ai-on-the-insurance-industry-challenges-and-opportunities.pdf ER - TY - RPRT T1 - Jobs lost, jobs gained: Workforce transactions in a time of automation Y1 - 2017 A1 - James Manyika A1 - Susan Lund A1 - Michael Chui A1 - Jonathan Woetzel A1 - Ryan Ko A1 - Saurabh Sanghvi A1 - Parul Batra A1 - Jacques Bughin KW - consulting reports JF - McKinsey Global Institute UR - https://www.mckinsey.com/~/media/mckinsey/featured%20insights/future%20of%20organizations/what%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi-jobs-lost-jobs-gained-report-december-6-2017.ashx ER - TY - JOUR T1 - Of robots, Artificial Intelligence, and work JF - Academy of Management Perspectives Y1 - 2017 A1 - Phan, Phillip A1 - Wright, Michael A1 - Lee, Soo-Hoon VL - 31 IS - 4 ER - TY - CONF T1 - Putting the Pieces Back Together Again: Contest Webs for Large-Scale Problem Solving T2 - Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing Y1 - 2017 A1 - Malone, Thomas W. 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