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 - 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 - Humanly Extended Automation or the Future of Work Seen through Amazon Patents JF - Science, Technology, & Human Values Y1 - 2020 A1 - Delfanti, Alessandro A1 - Frey, Bronwyn AB -

Amazon's projects for future automation contribute to anxieties about the marginalization of living labor in warehousing. Yet, a systematic analysis of patents owned by Amazon suggests that workers are not about to disappear from the warehouse floor. Many patents portray machines that increase worker surveillance and work rhythms. Others aim at incorporating workers' activities into machinery to rationalize the labor process in an ever more pervasive form of digital Taylorism. Patents materialize the company's desire for a technological future in which workers act and sense on behalf of machinery, becoming its living and sensing appendages. In this new relationship, humans extend machinery and its reach. Through the work-in-progress process of reaching increasing levels of automation, Amazon develops new technical foundations that consolidate its power in the digital workplace.

UR - http://journals.sagepub.com/doi/10.1177/0162243920943665 ER - TY - JOUR T1 - Higher education in the age of Artificial Intelligence JF - Postdigital Science and Education Y1 - 2019 A1 - Sudlow, Brian VL - 1 IS - 1 ER - TY - MGZN T1 - How 5 data dynamos do their jobs Y1 - 2019 A1 - Lindsey Rogers Cook JF - Times Insider UR - https://www.nytimes.com/2019/06/12/reader-center/data-reporting-spreadsheets.html ER - TY - BOOK T1 - How artificial intelligence and machine learning can impact market design Y1 - 2019 A1 - Agrawal, Ajay A1 - Gans, Joshua A1 - Goldfarb, Avi PB - University of Chicago Press SN - 9780226613338 ER - TY - MGZN T1 - How big data is changing the job market Y1 - 2019 A1 - Editorial Team JF - insideBIGDATA UR - https://www.dropbox.com/sh/8sxki5mwikjxlte/AAB6zvW5F0s2FIJ6jUmEW7P-a/Popular%20press%20about%20impacts?dl=0&preview=How+Big+Data+Is+Changing+the+Job+Market.pdf&subfolder_nav_tracking=1 ER - TY - MGZN T1 - How frightened should we be of AI ? Y1 - 2019 A1 - Tad Friend JF - The New Yorker UR - https://www.newyorker.com/books/double-take/sunday-reading-the-rise-of-artificial-intelligence 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 - MGZN T1 - How one scientist coped when AI beat him at his life’s work Y1 - 2019 A1 - Sigal Samuel JF - Vox UR - https://www.vox.com/future-perfect/2019/2/15/18226493/deepmind-alphafold-artificial-intelligence-protein-folding ER - TY - CONF T1 - How Smart is your Manufacturing? Build Smarter with AI T2 - 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) Y1 - 2019 A1 - Mcmahon, Mike A1 - Mumper, Dale A1 - Ihaza, Mitsuko A1 - Farrar, Dominic JF - 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) PB - IEEE CY - Milwaukee, WI, USA SN - 978-1-7281-2607-4 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 - Human resource technology disruptions and their implications for human resources management in healthcare organizations JF - BMC Health Services Research Y1 - 2019 A1 - Tursunbayeva, Aizhan VL - 19 IS - 1 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 - JOUR T1 - High tech, low growth: Robots and the future of work abstract JF - Historical Materialism Y1 - 2018 A1 - Moody, Kim VL - 26 IS - 4 ER - TY - MGZN T1 - High-skilled white-collar work? Machines can do that, too Y1 - 2018 A1 - Noam Scheiber JF - The New York Times UR - https://www.nytimes.com/2018/07/07/business/economy/algorithm-fashion-jobs.html ER - TY - ICOMM T1 - How cheap labor drives China’s AI Ambitions Y1 - 2018 A1 - Li Yuan KW - human and machine intelligence JF - nytimes UR - https://www.nytimes.com/2018/11/25/business/china-artificial-intelligence-labeling.html 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 - How does the digital transformation affect organizations? Key themes of change in work design and leadership JF - management revu Y1 - 2018 A1 - Schwarzmüller, Tanja A1 - Brosi, Prisca A1 - Duman, Denis A1 - Welpe, Isabell M. VL - 29 IS - 2 ER - TY - MGZN T1 - How driverless cars could disrupt the real estate industry Y1 - 2018 A1 - Ely Razin KW - autonomous vehicles JF - forbes UR - https://www.forbes.com/sites/elyrazin/2018/03/11/how-driverless-cars-could-disrupt-the-real-estate-industry/#1595cb8613c1 ER - TY - MGZN T1 - How leaders face the future of work ? Y1 - 2018 A1 - Lynda Gratton JF - MIT Slogan Management Review VL - 59 UR - https://sloanreview.mit.edu/article/how-leaders-face-the-future-of-work/ IS - 3 ER - TY - JOUR T1 - How machine learning can permanently capture legal expertise and optimize the law firm pyramid JF - JBEL Y1 - 2018 A1 - J. Mark Phillips AB - As the legal industry gradually integrates artificial intelligence (AI) into its practice, the underlying technology continues to advance at a fever pitch. Machine learning platforms arguably represent the pinnacle of AI development, and this technology currently augments and replicates intelligent human tasks in ways never before conceived. The business applications of machine learning are bearing fruit across a spectrum of industries and professions. Yet despite machine learning’s demonstrated promise, its forays into the legal industry have been uneven. In fact, the most advanced forms of machine learning have been relegated primarily to lower-level attorney tasks such as e-discovery, due-diligence, and legal research and, unfortunately, have yet to be embraced by the upper echelon legal decision-makers and strategists. This article explores this technology’s underutilization in law and highlights the inroads made by machine learning in other professions such as healthcare. It then provides an illustration of the capacity of machine learning and develops detailed hypotheticals of machine learning’s potential impact upon several representative areas of high-level legal decision-making, including lateral hiring, litigation strategy development, cost optimization, and overall law firm management. Finally, this article argues that incorporating machine learning will enable firms to permanently capture attorney expertise and develop deep reservoirs of reputational capital as a source of enduring competitive advantage. VL - 11 UR - https://digitalcommons.pepperdine.edu/jbel/vol11/iss2/3/ IS - 2 ER - TY - JOUR T1 - How real is the impact of artificial intelligence? The business information survey 2018 JF - Business Information Review Y1 - 2018 A1 - Carter, Denise KW - Artificial Intelligence (AI) KW - blockchain KW - chatbot KW - cybersecurity KW - data economy KW - data governance KW - data lakes KW - data literacy KW - data quality KW - data trusts KW - data value KW - ethics KW - information literacy KW - intelligent virtual agents KW - machine learning (ML) KW - Robotics VL - 35 UR - http://journals.sagepub.com/doi/10.1177/0266382118790150 IS - 3 ER - TY - JOUR T1 - How the anthropormorphization of virtual assistants influences user's trust JF - Academy of Management Proceedings Y1 - 2018 A1 - Crone, Tim A1 - Shafeie Zargar, Mahmood VL - 2018 IS - 1 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 - BOOK T1 - How unequal? Insights on inequality T2 - CEDA – the Committee for Economic Development of Australia Y1 - 2018 KW - ethics JF - CEDA – the Committee for Economic Development of Australia SN - 0 85801 318 5 UR - https://www.ceda.com.au/CEDA/media/General/Publication/PDFs/CEDA-How-unequal-Insights-on-inequality-April-2018-FINAL_WEB.pdf ER - TY - JOUR T1 - Human and Machine Learning JF - Computational Economics Y1 - 2018 A1 - Kao, Ying-Fang A1 - Venkatachalam, Ragupathy 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 - JOUR T1 - Human capital management and future of work; job creation and unemployment: a literature review JF - OALib Y1 - 2018 A1 - Mukhalipi, Adamson VL - 05 IS - 09 ER - TY - ICOMM T1 - A History of Deep Learning Y1 - 2017 A1 - Andrew Fogg UR - https://www.import.io/post/history-of-deep-learning/ ER - TY - MGZN T1 - House gets serious about driverless cars Y1 - 2017 A1 - Melanie Zanona JF - The Hill UR - https://thehill.com/policy/transportation/344141-driverless-car-bill-speeds-through-house ER - TY - ICOMM T1 - How AI is streamlining marketing and sales Y1 - 2017 A1 - Brad Power KW - AI use cases JF - hbr.com UR - https://hbr.org/2017/06/how-ai-is-streamlining-marketing-and-sales ER - TY - JOUR T1 - How automation is changing auditing JF - Journal of Emerging Technologies in Accounting Y1 - 2017 A1 - Kokina, Julia A1 - Davenport, Thomas H. VL - 14 IS - 1 ER - TY - MGZN T1 - How big data is empowering AI and machine learning at scale Y1 - 2017 A1 - Randy Bean KW - data and analytics JF - MIT Slogan Management Review UR - https://sloanreview.mit.edu/article/how-big-data-is-empowering-ai-and-machine-learning-at-scale/ ER - TY - MGZN T1 - How can architects adapt to the coming age of AI? Y1 - 2017 A1 - Phil Bernstein JF - The Architects Newspaper UR - https://archpaper.com/2017/11/architects-adapt-coming-ai/ ER - TY - MGZN T1 - How computers will replace your doctor? Y1 - 2017 A1 - Pascal-Emmanuel Gobry JF - The Week UR - https://theweek.com/articles/441528/how-computers-replace-doctor 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 - How is new technology changing job design? JF - IZA World of Labor Y1 - 2017 A1 - Gibbs, Michael ER - TY - JOUR T1 - How the internet of people will change the future of work JF - Gale Academic Onefile Y1 - 2017 A1 - Anna Tavis PB - Human Resource Planning Society VL - 40 IS - 3 ER - TY - CONF T1 - Huddler: Convening stable and familiar crowd teams despite unpredictable availability T2 - Proceedings of the Conference on Computer supported Cooperative Work and Social Media Y1 - 2017 A1 - Salehi, Niloufar A1 - McCabe, Andrew A1 - Valentine, Melissa A1 - Michael S. Bernstein JF - Proceedings of the Conference on Computer supported Cooperative Work and Social Media ER - TY - JOUR T1 - ‘Hypernudge’: Big Data as a mode of regulation by design JF - Information, Communication & Society Y1 - 2017 A1 - Yeung, Karen VL - 20 IS - 1 ER - TY - BOOK T1 - Handbook of Science and Technology ConvergenceConvergence-Divergence Process Y1 - 2016 A1 - Roco, Mihail C. ED - Bainbridge, William Sims ED - Roco, Mihail C. PB - Springer International Publishing CY - Cham SN - 978-3-319-07051-3 ER - TY - MGZN T1 - Hire a UR robot - pay for it by the hour Y1 - 2016 A1 - Mahew Bush KW - bots JF - Universal Robots UR - https://blog.universal-robots.com/hire-a-ur-robot-pay-for-it-by-the-hour ER - TY - MGZN T1 - How artificial intelligence will redefine management Y1 - 2016 A1 - Vegard Kolbjornsrud A1 - Richard Amico A1 - Robert J. Thomas JF - Havard Business Review UR - https://hbr.org/2016/11/how-artificial-intelligence-will-redefine-management ER - TY - JOUR T1 - How technology is changing work and organizations JF - Annual Review of Organizational Psychology and Organizational Behavior Y1 - 2016 A1 - Cascio, Wayne F. A1 - Montealegre, Ramiro VL - 3 IS - 1 ER - TY - JOUR T1 - How the machine ‘thinks’: Understanding opacity in machine learning algorithms JF - Big Data & Society Y1 - 2016 A1 - Burrell, Jenna VL - 3 IS - 1 ER - TY - JOUR T1 - Human Interaction With Robot Swarms: A Survey JF - Transaction on human-machine systems Y1 - 2016 KW - Human-robot interaction (HRI) KW - human-swarm interaction (HSI) KW - multi-robot systems KW - swarm robotics AB - Recent advances in technology are delivering robots of reduced size and cost. A natural outgrowth of these advances are systems comprised of large numbers of robots that collaborate autonomously in diverse applications. Research on effective autonomous control of such systems, commonly called swarms, has increased dramatically in recent years and received attention from many domains, such as bioinspired robotics and control theory. These kinds of distributed systems present novel challenges for the effective integration of human supervisors, operators, and teammates that are only beginning to be addressed. This paper is the first survey of human-swarm interaction (HSI) and identifies the core concepts needed to design a human-swarm system. We first present the basics of swarm robotics. Then, we introduce HSI from the perspective of a human operator by discussing the cognitive complexity of solving tasks with swarm systems. Next, we introduce the interface between swarm and operator and identify challenges and solutions relating to human-swarm communication, state estimation and visualization, and human control of swarm. For the latter, we develop a taxonomy of control methods that enable operators to control swarms effectively. Finally, we synthesize the results to highlight remaining challenges, unanswered questions, and open problems for HSI, as well as how to address them in future works. PB - IEEE VL - 46 ER - TY - JOUR T1 - Humans, robots and values JF - Technology in Society Y1 - 2016 A1 - Cockshott, Paul A1 - Renaud, Karen VL - 45 ER - TY - JOUR T1 - The history of technological anxiety and the future of economic growth: Is this time different? JF - Journal of Economic Perspectives Y1 - 2015 A1 - Mokyr, Joel A1 - Vickers, Chris A1 - Ziebarth, Nicolas L. VL - 29 IS - 3 ER - TY - RPRT T1 - How new digital technologies are making smart people and businesses smarter by automating rote work Y1 - 2015 JF - Cognizant PB - Keep Challenging UR - https://www.cognizant.com/whitepapers/the-robot-and-I-how-new-digital-technologies-are-making-smart-people-and-businesses-smarter-codex1193.pdf ER - TY - JOUR T1 - Human-level control through deep reinforcement learning JF - Nature Y1 - 2015 A1 - Mnih, Volodymyr A1 - Kavukcuoglu, Koray A1 - Silver, David A1 - Rusu, Andrei A A1 - Veness, Joel A1 - Bellemare, Marc G A1 - Graves, Alex A1 - Riedmiller, Martin A1 - Fidjeland, Andreas K A1 - Ostrovski, Georg VL - 518 ER - TY - JOUR T1 - Hybrid human–machine information systems: Challenges and opportunities JF - Computer Networks Y1 - 2015 A1 - Demartini, Gianluca VL - 90 ER - TY - JOUR T1 - Human-agent collectives JF - Communications of the ACM Y1 - 2014 A1 - Jennings, N. R. A1 - Moreau, L. A1 - Nicholson, D. A1 - Ramchurn, S. A1 - Roberts, S. A1 - Rodden, T. A1 - Rogers, A. VL - 57 IS - 12 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 - ABST T1 - How life imitates chess: Making the right moves-from the board to the boardroom Y1 - 2008 A1 - Kasparov, Garry PB - Random House CY - New York, NY SN - 0363-0277 ER - TY - JOUR T1 - Handoff strategies in settings with high consequences for failure: lessons for health care operations JF - International Journal for Quality in Health Care Y1 - 2004 A1 - Patterson, E. S. VL - 16 IS - 2 ER - TY - BOOK T1 - Handbook of psychology work design Y1 - 2003 A1 - Morgeson, Frederick P. A1 - Campion, Michael A. ED - Weiner, Irving B. PB - John Wiley & Sons, Inc. CY - Hoboken, NJ, USA ER -