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 - Generic T1 - AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models T2 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Y1 - 2023 A1 - Petridis, Savvas A1 - Diakopoulos, Nicholas A1 - Crowston, Kevin A1 - Hansen, Mark A1 - Henderson, Keren A1 - Jastrzebski, Stan A1 - Nickerson, Jefrey V A1 - Chilton, Lydia B JF - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems UR - https://savvaspetridis.github.io/papers/anglekindling.pdf 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 - Cities of the Future? The Potential Impact of Artificial Intelligence JF - AI Y1 - 2020 A1 - Kassens-Noor, Eva A1 - Hintze, Arend KW - artificial intelligence KW - autonomous vehicle KW - future KW - smart cities KW - work AB - Artificial intelligence (AI), like many revolutionary technologies in human history, will have a profound impact on societies. From this viewpoint, we analyze the combined effects of AI to raise important questions about the future form and function of cities. Combining knowledge from computer science, urban planning, and economics while reflecting on academic and business perspectives, we propose that the future of cities is far from being a determined one and cities may evolve into ghost towns if the deployment of AI is not carefully controlled. This viewpoint presents a fundamentally different argument, because it expresses a real concern over the future of cities in contrast to the many publications who exclusively assume city populations will increase predicated on the neoliberal urban growth paradigm that has for centuries attracted humans to cities in search of work. VL - 1 ER - TY - CONF T1 - Does AI qualify for the job? A bidirectional model mapping labour and AI intensities T2 - AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society Y1 - 2020 A1 - Mart'nez-Plumed, Fernando A1 - Tolan, Song'l A1 - Pesole, Annarosa A1 - Hern'ndez-Orallo, José A1 - Fern'ndez-Mac'as, Enrique A1 - G'mez, Emilia KW - AI benchmarks KW - AI impact KW - AI intensity KW - Labour market KW - Simulation KW - tasks AB - 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. JF - AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society SN - 9781450371100 ER - TY - JOUR T1 - Engaged to a Robot? The Role of AI in Service JF - Journal of Service Research Y1 - 2020 A1 - Huang, Ming Hui A1 - Rust, Roland T KW - artificial intelligence KW - augmentation KW - automation KW - engagement KW - feeling AI KW - human intelligence KW - mechanical AI KW - personalization KW - relationalization KW - replacement KW - robots KW - service process KW - service strategy KW - standardization KW - thinking AI AB - This article develops a strategic framework for using artificial intelligence (AI) to engage customers for different service benefits. This framework lays out guidelines of how to use different AIs to engage customers based on considerations of nature of service task, service offering, service strategy, and service process. AI develops from mechanical, to thinking, and to feeling. As AI advances to a higher intelligence level, more human service employees and human intelligence (HI) at the intelligence levels lower than that level should be used less. Thus, at the current level of AI development, mechanical service should be performed mostly by mechanical AI, thinking service by both thinking AI and HI, and feeling service mostly by HI. Mechanical AI should be used for standardization when service is routine and transactional, for cost leadership, and mostly at the service delivery stage. Thinking AI should be used for personalization when service is data-rich and utilitarian, for quality leadership, and mostly at the service creation stage. Feeling AI should be used for relationalization when service is relational and high touch, for relationship leadership, and mostly at the service interaction stage. We illustrate various AI applications for the three major AI benefits, providing managerial guidelines for service providers to leverage the advantages of AI as well as future research implications for service researchers to investigate AI in service from modeling, consumer, and policy perspectives. ER - TY - JOUR T1 - Explainable AI under contract and tort law: legal incentives and technical challenges JF - Artificial Intelligence and Law Y1 - 2020 A1 - Hacker, Philipp A1 - Krestel, Ralf A1 - Grundmann, Stefan A1 - Naumann, Felix KW - Contract law KW - Corporate takeovers KW - Explainability KW - Explainability-accuracy trade-off KW - Explainable AI KW - Interpretable machine learning KW - Medical malpractice KW - Tort law AB - This paper shows that the law, in subtle ways, may set hitherto unrecognized incentives for the adoption of explainable machine learning applications. In doing so, we make two novel contributions. First, on the legal side, we show that to avoid liability, professional actors, such as doctors and managers, may soon be legally compelled to use explainable ML models. We argue that the importance of explainability reaches far beyond data protection law, and crucially influences questions of contractual and tort liability for the use of ML models. To this effect, we conduct two legal case studies, in medical and corporate merger applications of ML. As a second contribution, we discuss the (legally required) trade-off between accuracy and explainability and demonstrate the effect in a technical case study in the context of spam classification. PB - Springer Netherlands SN - 0123456789 UR - https://doi.org/10.1007/s10506-020-09260-6 ER - TY - Generic T1 - The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning T2 - Hawai'i International Conference on System Science Y1 - 2020 A1 - Mahboobeh Harandi A1 - Kevin Crowston A1 - Corey Jackson A1 - Carsten Østerlund AB -

Machine learning (ML) constitute an algorithmic phenomenon with some distinctive characteristics (e.g., being trained, probabilistic). Our understanding of such systems is limited when it comes to how these unique characteristics play out in organizational settings and what challenges different groups of users will face in working with them. We explore how people developing or using an ML system come to understand its capabilities and challenges. We draw on the social construction of technology tradition to frame our analysis of interviews and discussion board posts involving designers and users of a ML-supported citizen-science crowdsourcing project named Gravity Spy. Our findings reveal some of the challenges facing different relevant social groups. We find that groups with less interaction with the technology have their understanding. We find that the type of understandings achieved by groups having less interaction with the technology is shaped by outside influences rather than the specifics of the system and its role in the project. Notable, some users mistake human input for ML input. This initial understanding of how different participants understand and engage with ML point to challenges that need to be overcome to help participants deal with the opaque position ML often hold in a work system.

JF - Hawai'i International Conference on System Science CY - Wailea, HI ER - TY - JOUR T1 - How the FDA regulates AI JF - Academic Radiology Y1 - 2020 A1 - Harvey, H. Benjamin A1 - Gowda, Vrushab VL - 27 IS - 1 ER - TY - JOUR T1 - How to achieve trustworthy artificial intelligence for health JF - Bulletin of the World Health Organization Y1 - 2020 A1 - Bærøe, Kristine A1 - Miyata-Sturm, Ainar A1 - Henden, Edmund AB - Artificial intelligence holds great promise in terms of beneficial, accurate and effective preventive and curative interventions. At the same time, there is also awareness of potential risks and harm that may be caused by unregulated developments of artificial intelligence. Guiding principles are being developed around the world to foster trustworthy development and application of artificial intelligence systems. These guidelines can support developers and governing authorities when making decisions about the use of artificial intelligence. The HighLevel Expert Group on Artificial Intelligence set up by the European Commission launched the report Ethical guidelines for trustworthy artificial intelligence in 2019. The report aims to contribute to reflections and the discussion on the ethics of artificial intelligence technologies also beyond the countries of the European Union (EU). In this paper, we use the global health sector as a case and argue that the EU's guidance leaves too much room for local, contextualized discretion for it to foster trustworthy artificial intelligence globally. We point to the urgency of shared globalized efforts to safeguard against the potential harms of artificial intelligence technologies in health care. VL - 98 ER - TY - JOUR T1 - The Role of Discretion in the Age of Automation JF - Computer Supported Cooperative Work: CSCW: An International Journal Y1 - 2020 A1 - Petersen, Anette C.M. A1 - Christensen, Lars Rune A1 - Hildebrandt, Thomas T. KW - Administrative work KW - automation KW - Casework KW - Decision-Making KW - Digital-ready legislation KW - Digitisation KW - Discretion KW - Rules in action KW - Social work AB - This paper examines the nature of discretion in social work in order to debunk myths dominating prevalent debates on digitisation and automation in the public sector. Social workers have traditionally used their discretion widely and with great autonomy, but discretion has increasingly come under pressure for its apparent subjectivity and randomness. In Denmark, our case in point, the government recently planned to standardise laws to limit or remove discretion where possible in order for automation of case management to gain a foothold. Recent studies have focused on discretion in the public sector, but few have examined it explicitly and as part of real cases. As a consequence, they often leave the myths about discretion unchallenged. Inspired by the literature on discretion and CSCW research on rules in action, this study reports on an empirical investigation of discretion in child protection services in Denmark. The results of our analysis provide a new understanding of discretion as a cooperative endeavour, based on consultation and skill, rather than an arbitrary or idiosyncratic choice. In this manner, our study contradicts the myth of discretion inherent in the automation agenda. Correspondingly, we ask for attention to be given to systems that integrate discretion with technology rather than seek to undermine it directly or get around it surreptitiously. In this age of automation, this is not only an important but also an urgent task for CSCW researchers to fulfil. VL - 29 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-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 - MGZN T1 - As Walmart turns to robots, it’s the human workers who feel like machines Y1 - 2019 A1 - Drew Harwell JF - The Washington Post UR - https://www.washingtonpost.com/technology/2019/06/06/walmart-turns-robots-its-human-workers-who-feel-like-machines/ 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 - Bots Coordinating Work in Open Source Software Projects JF - Computer Y1 - 2019 A1 - Hukal, Philipp A1 - Berente, Nicholas A1 - Germonprez, Matt A1 - Schecter, Aaron VL - 52 IS - 9 ER - TY - JOUR T1 - A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence JF - California Management Review Y1 - 2019 A1 - Haenlein, Michael A1 - Kaplan, Andreas VL - 61 IS - 4 ER - TY - JOUR T1 - Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark JF - European Journal of Cancer Y1 - 2019 A1 - Brinker, Titus J. A1 - Hekler, Achim A1 - Hauschild, Axel A1 - Berking, Carola A1 - Schilling, Bastian A1 - Alexander Enk A1 - Haferkamp, Sebastian A1 - Karoglan, Ante A1 - von Kalle, Christof A1 - Weichenthal, Michael A1 - Sattler, Elke A1 - Schadendorf, Dirk A1 - Gaiser, Maria R. A1 - Klode, Joachim A1 - Jochen Sven Utikal VL - 111 ER - TY - CONF T1 - Consider the human work experience when integrating robotics in the workplace T2 - 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) Y1 - 2019 A1 - Welfare, Katherine S. A1 - Hallowell, Matthew R. A1 - Shah, Julie A. A1 - Riek, Laurel D. JF - 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) PB - IEEE CY - Daegu, Korea (South) UR - https://ieeexplore.ieee.org/document/8673139/http://xplorestaging.ieee.org/ielx7/8666012/8673065/08673139.pdf?arnumber=8673139 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 - 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 - BOOK T1 - The emergence of complexity Y1 - 2019 A1 - Hager, Paul A1 - Beckett, David PB - Springer International Publishing CY - Cham SN - 978-3-030-31837-6 ER - TY - JOUR T1 - An Extensive Review on Recent Emerging Applications of Artificial Intelligence JF - Asia-pacific Journal of Convergent Research Interchange Y1 - 2019 A1 - Harini, B VL - 5 UR - http://www.apjcri.org/papers/v5n2/9.pdf IS - 2 ER - TY - JOUR T1 - The future digital work force: Robotic process automation (RPA) JF - Journal of Information Systems and Technology Management Y1 - 2019 A1 - Madakam, Somayya A1 - M. Holmukhe, Rajesh A1 - Kumar Jaiswal, Durgesh VL - 16 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 - Generic T1 - The future of women at work Y1 - 2019 A1 - Anu Madgavkar A1 - James Manyika A1 - Mekala Krishnan A1 - Kweilin Ellingrud A1 - Lareina Yee A1 - Jonathan Woetzel A1 - Michael Chui A1 - Vivian Hunt A1 - Sruti Balakrishnan KW - consulting reports VL - McKinsey Global Institute UR - https://www.mckinsey.com/~/media/mckinsey/featured%20insights/gender%20equality/the%20future%20of%20women%20at%20work%20transitions%20in%20the%20age%20of%20automation/mgi-the-future-of-women-at-work-full-report-june%202019.ashx ER - TY - MGZN T1 - Future of work initiatives promise lots of noise and lots of activity, but to what end? Y1 - 2019 A1 - Jeff Schwartz A1 - John Hagel III A1 - Maggie Wooll A1 - Kelly Monahan JF - MIT Slogan Management Review UR - https://sloanreview.mit.edu/article/reframing-the-future-of-work/ ER - TY - JOUR T1 - Getting ready for a post-work future JF - Foresight and STI Governance Y1 - 2019 A1 - Hines, Andy VL - 13 IS - 1 ER - TY - CONF T1 - How May I Help You? – State of the Art and Open Research Questions for Chatbots at the Digital Workplace T2 - Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences Y1 - 2019 A1 - Meyer von Wolff, Raphael A1 - Hobert, Sebastian A1 - Schumann, Matthias JF - Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences PB - Hawaii International Conference on System Sciences SN - 978-0-9981331-2-6 ER - TY - CONF T1 - Inferring work task automatability from AI expert evidence T2 - the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19 Y1 - 2019 A1 - Duckworth, Paul A1 - Graham, Logan A1 - Osborne, Michael JF - the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19 PB - ACM Press CY - Honolulu, HI, USANew York, New York, USA SN - 9781450363242 ER - TY - CHAP T1 - Machine learning for clinical psychology and clinical neuroscience T2 - researchgate.net Y1 - 2019 A1 - Marc N. Countanche A1 - Lauren S. Hallion AB - A rapid growth in computational power and an increasing availability of large, publicly-accessible, multimodal datasets present new opportunities for psychology and neuroscience researchers to ask novel questions, and to approach old questions in novel ways. Studies of the personal characteristics, situation-specific factors, and sociocultural contexts that result in the onset, development, maintenance, and remission of psychopathology, are particularly well-suited to benefit from machine learning methods. However, introductory textbooks for machine learning rarely tailor their guidance to the needs of psychology and neuroscience researchers. Similarly, the traditional statistical training of clinical scientists often does not incorporate these approaches. This chapter acts as an introduction to machine learning for researchers in the fields of clinical psychology and clinical neuroscience. We discuss these methods, illustrated through real and hypothetical applications in the fields of clinical psychology and clinical neuroscience. We touch on study design, selecting appropriate techniques, how (and how not) to interpret results, and more, to aid researchers who are interested in applying machine learning methods to clinical science data. JF - researchgate.net UR - https://www.researchgate.net/publication/331000572_Machine_Learning_for_Clinical_Psychology_and_Clinical_Neuroscience ER - TY - CONF T1 - Machine learning in Artificial Intelligence: Towards a common understanding T2 - Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences Y1 - 2019 A1 - Kühl, Niklas A1 - Goutier, Marc A1 - Hirt, Robin A1 - Satzger, Gerhard JF - Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences PB - Hawaii International Conference on System Sciences 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 - Generic T1 - A Review of the Social Impacts and Ethical Implications of Artificial Intelligence Y1 - 2019 A1 - Alexa Hagerty A1 - Igor Rubinov KW - ethics PB - Global AI Ethics UR - https://arxiv.org/ftp/arxiv/papers/1907/1907.07892.pdf 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 - RPRT T1 - Towards an AI economy that works for all Y1 - 2019 A1 - Stephen Herzenberg A1 - John Alic KW - ethics JF - Keystone Research Center Future of Work Project sponsored by The Heinz Endowments UR - https://www.keystoneresearch.org/sites/default/files/FOW_TowardAIEconomyForAllFinalEdit.pdf 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 - Accounting for the neglected dimensions of AI progress JF - data-efficient ML Y1 - 2018 A1 - Fernando Martine-Plumed A1 - Shahar Avin A1 - Miles Brundage A1 - Allan Dafoe A1 - Sean O hEigeartaigh A1 - José Hernández-Orallo UR - https://arxiv.org/abs/1806.00610 ER - TY - JOUR T1 - Advances in the development of a cognitive user interface JF - MATEC Web of Conferences Y1 - 2018 A1 - Jokisch, Oliver A1 - Huber, Markus ED - Ronzhin, A. ED - Shishlakov, V. VL - 161 UR - https://www.matec-conferences.org/10.1051/matecconf/201816101003https://www.matec-conferences.org/10.1051/matecconf/201816101003/pdf ER - TY - ICOMM T1 - AI Could Provide Moment-by-Moment Nursing for a Hospital’s Sickest Patients Y1 - 2018 A1 - Behnood Gholami A1 - Wassim M. Haddad A1 - James M. Bailey JF - spectrum.ieee.org UR - https://globaltechnologies.ca/ai-could-provide-moment-by-moment-nursing-for-a-hospitals-sickest-patients/ 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 - JOUR T1 - Artificial intelligence: Implications for social inflation and insurance JF - Risk Management and Insurance Review Y1 - 2018 A1 - Kelley, Kevin H. A1 - Fontanetta, Lisa M. A1 - Heintzman, Mark A1 - Pereira, Nikki VL - 21 IS - 3 ER - TY - JOUR T1 - Artificial Intelligence in Service JF - Journal of Service Research Y1 - 2018 A1 - Huang, Ming-Hui A1 - Rust, Roland T. VL - 21 IS - 2 ER - TY - JOUR T1 - Artificial intelligence, machine learning and the evolution of healthcare A bright future or cause for concern? JF - British Journal of Radiology Y1 - 2018 A1 - L.D. Jones A1 - D. Golan A1 - S. A. Hanna A1 - M. Ramachandran KW - artificial intelligence KW - deep learning KW - machine learning VL - 7 IS - 7 ER - TY - JOUR T1 - Artificial intelligence, machine learning and the evolution of healthcare JF - Bone & Joint Research Y1 - 2018 A1 - Jones, L. D. A1 - D. Golan A1 - S. A. Hanna A1 - M. Ramachandran VL - 7 IS - 3 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 - RPRT T1 - Autonomous vehicles employment impact study Y1 - 2018 A1 - Brian Haratsis A1 - Tony Carmichael A1 - Mark Coutney A1 - Jacob Fong JF - Australia & New Zealand Driverless Vehicle Initiate UR - https://advi.org.au/wp-content/uploads/2018/09/Autonomous-Vehicles-Employment-Impact-Survey-COR050918-5.pdf 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 - Can artificial intelligence make work more human? JF - Strategic HR Review Y1 - 2018 A1 - He, Emily VL - 17 IS - 5 ER - TY - JOUR T1 - Comment on “Should we fear the robot revolution? (The correct answer is yes)” by Andrew Berg, Ed Buffie, and Felipe Zanna JF - Journal of Monetary Economics Y1 - 2018 A1 - Hanley, Douglas VL - 97 ER - TY - JOUR T1 - Computational power and the social impact of artificial intelligence JF - SSRN Electronic Journal Y1 - 2018 A1 - Tim Hwang AB - Machine learning is computational process. To that end, it is inextricably tied to computational power - the tangible material of chips and semiconductors that the algorithms of machine intelligence operate on. Most obviously, computational power and computing architectures shape the speed of training and inference in machine learning, and therefore influence the rate of progress in the technology. But, these relationships are more nuanced than that: hardware shapes the methods used by researchers and engineers in the design and development of machine learning models. Characteristics such as the power consumption of chips also define where and how machine learning can be used in the real world. In a broader perspective, computational power is also important because of its specific geographies. Semiconductors are designed, fabricated, and deployed through a complex international supply chain. Market structure and competition among companies in this space influence the progress of machine learning. Moreover, since these supply chains are also considered significant from a national security perspective, hardware becomes an arena in which government industrial and trade policy has a direct impact on the fundamental machinery necessary for artificial intelligence (AI). This paper aims to dig more deeply into the relationship between computational power and the development of machine learning. Specifically, it examines how changes in computing architectures, machine learning methodologies, and supply chains might influence the future of AI. In doing so, it seeks to trace a set of specific relationship between this underlying hardware layer and the broader social impacts and risks around AI. On the hand, this examination shines a spotlight on how hardware works to exacerbate a range of concerns around ubiquitous surveillance, technological unemployment, and geopolitical conflict. On the other, it also highlights the potentially significant role that shaping the development of computing power might play in addressing these concerns. 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 - JOUR T1 - Discussion for JME special issue: APST paper JF - Journal of Monetary Economics Y1 - 2018 A1 - Hershbein, Brad VL - 97 ER - TY - BOOK T1 - eHealth - Making Health Care SmarterUse of Artificial Intelligence in Healthcare Delivery Y1 - 2018 A1 - Reddy, Sandeep ED - Heston, Thomas F. PB - InTech SN - 978-1-78923-522-7 ER - TY - JOUR T1 - Ethics of using Artificial Intelligence to augment drafting legal documents JF - Texas A&M Journal of Property Law Y1 - 2018 A1 - David Hricik Hri A1 - Asya-Lorrene S. Morgan A1 - Kyle H. Williams VL - 4 UR - https://scholarship.law.tamu.edu/cgi/viewcontent.cgi?article=1080&context=journal-of-property-law IS - 5 ER - TY - JOUR T1 - Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance JF - The Information Society Y1 - 2018 A1 - Caleb-Solly, Praminda A1 - Dogramadzi, Sanja A1 - Huijnen, Claire A.G.J. A1 - Heuvel, Herjan van den VL - 34 IS - 3 ER - TY - JOUR T1 - How do machine learning, robotic process automation, and blockchains affect the human factor in business process management? JF - Communications of the Association for Information Systems Y1 - 2018 A1 - Mendling, Jan A1 - Decker, Gero A1 - Hull, Richard A1 - Reijers, Hajo A. A1 - Weber, Ingo ER - TY - JOUR T1 - The impact of technology and globalization on employment and equity JF - International Journal of Global Sustainability Y1 - 2018 A1 - Arogyaswamy, Bernard A1 - Hunter, John VL - 3 IS - 1 ER - TY - JOUR T1 - Improving palliative care with deep learning JF - BMC Medical Informatics and Decision Making Y1 - 2018 A1 - Avati, Anand A1 - Jung, Kenneth A1 - Harman, Stephanie A1 - Downing, Lance A1 - Ng, Andrew A1 - Shah, Nigam H. VL - 18 IS - S4 ER - TY - JOUR T1 - iNaturalist as a tool to expand the research value of museum specimens JF - Applications in Plant Sciences Y1 - 2018 A1 - Heberling, J. Mason A1 - Isaac, Bonnie L. KW - AI use cases VL - 6 IS - 11 ER - TY - BOOK T1 - Investigating ergonomics in the context of human-robot collaboration as a sociotechnical system Y1 - 2018 A1 - Rücker, Daniel A1 - Hornfeck, Rüdiger A1 - Paetzold, Kristin ED - Chen, Jessie PB - Springer International Publishing CY - Cham VL - 784 SN - 978-3-319-94345-9 ER - TY - BOOK T1 - Machine intelligence: Blessing or curse? It depends on us! Y1 - 2018 A1 - Helbing, Dirk ED - Helbing, Dirk PB - Springer International Publishing CY - Cham SN - 978-3-319-90868-7 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 - BOOK T1 - Machine Learning for Ecology and Sustainable Natural Resource ManagementMachine Learning and ‘The Cloud’ for Natural Resource Applications: Autonomous Online Robots Driving Sustainable Conservation Management Worldwide? Y1 - 2018 A1 - Grant Humphries A1 - Huettmann, Falk ED - Grant Humphries ED - Magness, Dawn R. ED - Huettmann, Falk PB - Springer International Publishing CY - Cham SN - 978-3-319-96976-3 ER - TY - CHAP T1 - Machine Learning in Wildlife Biology: Algorithms, Data Issues and Availability, Workflows, Citizen Science, Code Sharing, Metadata and a Brief Historical Perspective T2 - Machine Learning for Ecology and Sustainable Natural Resource Management Y1 - 2018 A1 - Grant Humphries A1 - Huettmann, Falk ED - Grant Humphries ED - Magness, Dawn R. ED - Huettmann, Falk JF - Machine Learning for Ecology and Sustainable Natural Resource Management PB - Springer International Publishing CY - Cham SN - 978-3-319-96976-3 ER - TY - JOUR T1 - Managing talented worker in the era of new psychological contract JF - Jurnal Aplikasi Manajemen Y1 - 2018 A1 - Haryadi, Haryadi A1 - Anggraeni, Ade Irma A1 - Ibrahim, Daing Nasir VL - 16 IS - 1 ER - TY - JOUR T1 - A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis JF - npj Digital Medicine Y1 - 2018 A1 - Dimitriou, Neofytos A1 - Arandjelović, Ognjen A1 - Harrison, David J. A1 - Caie, Peter D. VL - 1 IS - 1 ER - TY - JOUR T1 - Robotic process automation JF - Business & Information Systems Engineering Y1 - 2018 A1 - van der Aalst, Wil M. P. A1 - Bichler, Martin A1 - Heinzl, Armin VL - 60 IS - 4 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 - Social robots as cultural objects: The sixth dimension of dynamicity? JF - The Information Society Y1 - 2018 A1 - Fortunati, Leopoldina A1 - Sarrica, Mauro A1 - Ferrin, Giovanni A1 - Brondi, Sonia A1 - Honsell, Furio VL - 34 IS - 3 ER - TY - JOUR T1 - System architecture of a driverless electric car in the grand cooperative driving challenge JF - IEEE Intelligent Transportation Systems Magazine Y1 - 2018 A1 - Xu, Philippe A1 - Dherbomez, Gerald A1 - Hery, Elwan A1 - Abidli, Abderrahmen A1 - Bonnifait, Philippe VL - 10 IS - 1 ER - TY - CONF T1 - Understanding Chatbot-mediated Task Management T2 - the 2018 CHI ConferenceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 Y1 - 2018 A1 - Toxtli, Carlos A1 - Monroy-Hernández, Andrés A1 - Cranshaw, Justin JF - the 2018 CHI ConferenceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 PB - ACM Press CY - Montreal QC, CanadaNew York, New York, USA SN - 9781450356206 ER - TY - JOUR T1 - Will artificial intelligence solve the human resource crisis in healthcare? JF - BMC Health Services Research Y1 - 2018 A1 - Meskó, Bertalan A1 - Hetényi, Gergely A1 - Győrffy, Zsuzsanna VL - 18 IS - 1 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 - MGZN T1 - Artificial Intelligence: The next digital frontier Y1 - 2017 A1 - Jaccques Bughin A1 - Eric Hazan A1 - Sree Ramaswamy A1 - Michael Chui A1 - Tera Allas A1 - Peter Dahlstrom A1 - Nicolaus Henke A1 - Monica Trench JF - McKinsey Global Institute UR - 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 ER - TY - JOUR T1 - Automation, computerization and future employment in Singapore JF - Southeast Asian Economies Y1 - 2017 A1 - Fuei, Lee King VL - 34 IS - 2 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 - Debating big data: A literature review on realizing value from big data JF - The Journal of Strategic Information Systems Y1 - 2017 A1 - Günther, Wendy Arianne A1 - Rezazade Mehrizi, Mohammad H. A1 - Huysman, Marleen A1 - Feldberg, Frans VL - 26 IS - 3 ER - TY - NEWS T1 - Elon Musk Lays Out Worst-Case Scenario for AI Threat T2 - Wall Street Journal Y1 - 2017 A1 - Tim Higgins JF - Wall Street Journal UR - https://www.wsj.com/articles/elon-musk-warns-nations-governors-of-looming-ai-threat-calls-for-regulations-1500154345 ER - TY - THES T1 - Evaluating the effects of industrial robots on the European labour market T2 - Employment and wage effects Y1 - 2017 A1 - Elena Natalie A1 - Cagnol Hveem KW - economics of automation JF - Employment and wage effects VL - Bergen, Fall, 2017 UR - https://pdfs.semanticscholar.org/4e19/3a0a02315803d799520b094cce36a1888a94.pdf ER - TY - JOUR T1 - Google DeepMind and healthcare in an age of algorithms JF - Health and Technology Y1 - 2017 A1 - Powles, Julia A1 - Hodson, Hal VL - 7 IS - 4 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 - 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. A1 - Jeffrey V Nickerson A1 - Laubacher, Robert J. A1 - Fisher, Laur Hesse A1 - de Boer, Patrick A1 - Han, Yue A1 - Towne, W. Ben KW - climate change KW - collective intelligence KW - contest webs KW - contests KW - Coordination KW - incentives KW - knowledge reuse JF - Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing PB - ACM CY - New York, NY, USA SN - 978-1-4503-4335-0 UR - http://doi.acm.org/10.1145/2998181.2998343 ER - TY - RPRT T1 - Rapid Evidence Review: Impact of artificial intelligence, robotics and automation technologies on work Y1 - 2017 A1 - Donald Hislop A1 - Crispin Coombs A1 - Stanimira Taneva A1 - Sarah Barnard AB - The CIPD and Loughborough University’s report gathers the evidence and insights on emerging technology at work and explores the ethical implications of how we’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? PB - Chartered Institute of Personnel and Development CY - London, United Kingdom UR - https://www.cipd.co.uk/knowledge/work/technology/artificial-intelligence-workplace-impact ER - TY - JOUR T1 - Situational awareness, workload, and workflow preferences JF - The International Journal of Robotics Research Y1 - 2017 A1 - Gombolay, Matthew A1 - Bair, Anna A1 - Huang, Cindy A1 - Shah, Julie VL - 36 IS - 5-7 ER - TY - CONF T1 - SPIE ProceedingsBuilding a framework to manage trust in automation T2 - SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications IX Y1 - 2017 A1 - Metcalfe, J. S. A1 - Amar R. Marathe A1 - Haynes, B. A1 - Paul, V. J. A1 - Gremillion, G. M. A1 - Drnec, K. A1 - Atwater, C. A1 - Estepp, J. R. A1 - Lukos, J. R. A1 - Carter, E. C. A1 - W. D. Nothwang ED - George, Thomas ED - Dutta, Achyut K. ED - Islam, M. Saif JF - SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications IX PB - SPIE CY - Anaheim, California, United States VL - 10194 ER - TY - CASE T1 - Regional Diversity in Autonomy and Work: A Case Study from Uber and Lyft Drivers Y1 - 2016 A1 - Alex Rosenblat A1 - Tim Hwang JF - Data And Society UR - https://datasociety.net/pubs/ia/Rosenblat-Hwang_Regional_Diversity-10-13.pdf ER - TY - JOUR T1 - A comparison between human–human online conversations and human–chatbot conversations JF - Computers in Human Behavior Y1 - 2015 A1 - Hill, Jennifer A1 - Randolph Ford, W. A1 - Farreras, Ingrid G. VL - 49 ER - TY - MGZN T1 - Facebook launches M, its bold answer to Siri and Cortana Y1 - 2015 A1 - Jessi Hempel UR - https://www.wired.com/2015/08/facebook-launches-m-new-kind-virtual-assistant/ ER - TY - CONF T1 - The future of crowd work T2 - Proceedings of the 2013 conference on Computer supported cooperative work Y1 - 2013 A1 - Kittur, Aniket A1 - Jeffrey V Nickerson A1 - Michael S. Bernstein A1 - Gerber, Elizabeth A1 - Shaw, Aaron A1 - Zimmerman, John A1 - Lease, Matt A1 - Horton, John JF - Proceedings of the 2013 conference on Computer supported cooperative work PB - ACM ER - TY - JOUR T1 - The rise and fall of interdisciplinary research: The case of open source innovation JF - Research Policy Y1 - 2013 A1 - Raasch, Christina A1 - Lee, Viktor A1 - Spaeth, Sebastian A1 - Herstatt, Cornelius VL - 42 IS - 5 ER - TY - JOUR T1 - Not what it was and not what it will be: The future of job design research JF - Journal of Organizational Behavior Y1 - 2010 A1 - Oldham, Greg R. A1 - Hackman, J. Richard ED - Grant, Adam ED - Fried, Yitzhak ED - Parker, Sharon ED - Frese, Michael VL - 31 IS - 2-3 ER - TY - JOUR T1 - Understanding the role of occupational and organizational context JF - Journal of Organizational Behavior Y1 - 2010 A1 - Morgeson, Frederick P. A1 - Dierdorff, Erich C. A1 - Hmurovic, Jillian L. ED - Grant, Adam ED - Fried, Yitzhak ED - Parker, Sharon ED - Frese, Michael VL - 31 IS - 2-3 ER - TY - CONF T1 - The changing face of digital science T2 - the 27th international conference extended abstractsProceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09 Y1 - 2009 A1 - Aragon, Cecilia R. A1 - Poon, Sarah A1 - Silva, Claudio T. JF - the 27th international conference extended abstractsProceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09 PB - ACM Press CY - Boston, MA, USANew York, New York, USA SN - 9781605582474 ER - TY - BOOK T1 - Handbook of transdisciplinary research Y1 - 2008 ED - Hadorn, Gertrude Hirsch ED - Hoffmann-Riem, Holger ED - Biber-Klemm, Susette ED - Grossenbacher-Mansuy, Walter ED - Joye, Dominique ED - Pohl, Christian PB - Springer Netherlands CY - Dordrecht SN - 978-1-4020-6698-6 ER - TY - JOUR T1 - Job and team design: Toward a more integrative conceptualization of work design JF - Research in Personnel and Human Resources ManagementResearch in Personnel and Human Resources Management Y1 - 2008 A1 - Frederick P. Morgeson A1 - Stephen E. Humphrey VL - 27 ER - TY - JOUR T1 - The Work Design Questionnaire (WDQ): Developing and validating a comprehensive measure for assessing job design and the nature of work. 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