@proceedings {2020,
	title = {Factors Influencing Approval of Wikipedia Bots},
	year = {2020},
	address = {Wailea, HI},
	abstract = {<p>Before a Wikipedia bot is allowed to edit, the operator of the bot must get approval. The Bot Approvals Group (BAG), a committee of Wikipedia bot developers, users and editors, discusses each bot request to reach consensus regarding approval or denial. We examine factors related to approval of a bot by analyzing 100 bots{\textquoteright} project pages. The results suggest that usefulness, value-based decision making and the bot{\textquoteright}s status (e.g., automatic or manual) are related to approval. This study may contribute to understanding decision making regarding the human-automation boundary and may lead to developing more efficient bots.</p>},
	doi = {10.24251/HICSS.2020.018},
	attachments = {https://waim.network/sites/crowston.syr.edu/files/HICSS_WikipediaPaper_3.9.new\%20kc\%20\%282\%29.pdf},
	author = {Ayse Dalgali and Kevin Crowston}
}
@article {Reid-musson2020,
	title = {Feminist economic geography and the future of work},
	journal = {EPA: Economy and Space},
	year = {2020},
	pages = {1{\textendash}12},
	keywords = {corresponding author, department of geography, emily reid-musson, feminist economic geography, memorial university of newfoundland, newfoundland and labrador a1c, social reproduction, subjectivity, technology, work},
	doi = {10.1177/0308518X20947101},
	author = {Reid-musson, Emily and Cockayne, Daniel and Frederiksen, Lia and Worth, Nancy}
}
@booklet {Suran2020,
	title = {Frameworks for collective intelligence: A systematic literature review},
	howpublished = {ACM Computing Surveys},
	volume = {53},
	number = {1},
	year = {2020},
	pages = {1{\textendash}36},
	abstract = {Over the last few years, Collective Intelligence (CI) platforms have become a vital resource for learning, problem solving, decision-making, and predictions. This rising interest in the topic has to led to the development of several models and frameworks available in published literature. Unfortunately, most of these models are built around domain-specific requirements, i.e., they are often based on the intuitions of their domain experts and developers. This has created a gap in our knowledge in the theoretical foundations of CI systems and models, in general. In this article, we attempt to fill this gap by conducting a systematic review of CI models and frameworks, identified from a collection of 9,418 scholarly articles published since 2000. Eventually, we contribute by aggregating the available knowledge from 12 CI models into one novel framework and present a generic model that describes CI systems irrespective of their domains. We add to the previously available CI models by providing a more granular view of how different components of CI systems interact. We evaluate the proposed model by examining it with respect to six popular, ongoing CI initiatives available on the Web.},
	keywords = {collective intelligence, Crowdsourcing, Human computer interaction, Systematic literature review, Web 2.0, Wisdom of crowds},
	issn = {15577341},
	doi = {10.1145/3368986},
	author = {Suran, Shweta and Pattanaik, Vishwajeet and Draheim, Dirk}
}
@article {Abeliansky2020,
	title = {The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation},
	journal = {IZA Discussion Paper Series},
	number = {12962},
	year = {2020},
	keywords = {demography, labor, unemployment},
	url = {www.iza.org},
	author = {Abeliansky, Ana and Algur, Eda and Bloom, David E and Prettner, Klaus}
}
@article {EganadelSol2020,
	title = {The Future of Work in Developing Economies},
	journal = {MIT Sloan Management Review},
	volume = {61},
	number = {2},
	year = {2020},
	pages = {1{\textendash}3},
	abstract = {<p>Much has been written about the rise of automation in developed countries. Economists have been busily creating models seeking to quantify the likely impact of automation on employment. However, far less has been written about the potential effects on work in developing nations. This is surprising, given that automation may be especially troublesome for developing economies. Here, del Sol and Joyce examine the effects of large-scale automation on workers in developing countries.</p>},
	keywords = {Armenia, Asia, Austria, automation, Bolivia, Business And Economics{\textendash}Management, China, Developing countries{\textendash}LDCs, Employment, future, Georgia (country), Ghana, Impact analysis, Kenya, Kuala Lumpur Malaysia, Laos, Republic of North Macedonia, South Korea, Sri Lanka, United States{\textendash}US, Vietnam, Workers},
	issn = {15329194},
	author = {Egana del Sol, Pablo and Joyce, Connor and Del Sol, Pablo Ega{\~n}a and Joyce, Connor}
}
@article {Abeliansky2020,
	title = {The Future of Work: Meeting the Global Challenge of Demographic Change and Automation},
	journal = {International Labour Review},
	number = {April},
	year = {2020},
	pages = {1{\textendash}28},
	abstract = {We explore future job creation needs under conditions of demographic, economic, and technological change. First, we estimate the implications for job creation in 2020{\textendash}2030 of population growth, changes in labor force participation, and the achievement of target unemployment rates, by age and gender. Second, we analyze the job creation needs by country income group. Finally, we examine the effects of accelerated automation. Overall, shifting demographics, changing labor force participation rates, reductions in unemployment to target levels of 8/4 percent (youth/adults), and automation combine to require the creation of approximately 340 million jobs in 2020{\textendash}2030.},
	issn = {0020-7780},
	doi = {10.1111/ilr.12168},
	author = {Abeliansky, Ana L. and Algur, Eda and Bloom, David E and Prettner, Klaus}
}
@conference {2019,
	title = {Fairer but not fair enough on the equitability of knowledge tracing},
	booktitle = {the 9th International ConferenceProceedings of the 9th International Conference on Learning Analytics \& Knowledge  - LAK19},
	year = {2019},
	pages = {335 - 339},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Tempe, AZ, USANew York, New York, USA},
	isbn = {9781450362566},
	doi = {10.1145/3303772.3303838},
	author = {Doroudi, Shayan and Brunskill, Emma}
}
@book {2019,
	title = {The fourth industrial revolution: Trends and impacts on the world of work},
	year = {2019},
	pages = {177 - 194},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-94531-6},
	doi = {10.1007/978-3-319-94532-3_115},
	author = {Kim, Sang Yun},
	editor = {McGrath, Simon and Mulder, Martin and Papier, Joy and Suart, Rebecca}
}
@article {2019,
	title = {From immigrants to robots: The changing locus of substitutes for workers},
	year = {2019},
	institution = {National Bureau of Economic Research},
	address = {Cambridge, MA},
	doi = {10.3386/w25438},
	url = {http://www.nber.org/papers/w25438.pdf},
	author = {Borjas, George and Freeman, Richard}
}
@article {2019,
	title = {The future digital work force:  Robotic process automation (RPA)},
	journal = {Journal of Information Systems and Technology Management},
	volume = {16},
	year = {2019},
	month = {Apr-01-2019},
	doi = {10.4301/S1807-1775201916001},
	author = {Madakam, Somayya and M. Holmukhe, Rajesh and Kumar Jaiswal, Durgesh}
}
@article {2019,
	title = {The future of health care: Protocol for measuring the potential of task automation grounded in the national health service primary care system},
	journal = {JMIR Research Protocols},
	volume = {8},
	year = {2019},
	month = {Jan-01-2019},
	pages = {e11232},
	doi = {10.2196/11232},
	author = {Willis, Matthew and Duckworth, Paul and Coulter, Angela and Meyer, Eric T and Osborne, Michael}
}
@conference {2019,
	title = {The future of human-AI collaboration: A taxonomy of design knowledge for hybrid intelligence systems},
	booktitle = {Hawaii International Conference on System Sciences (HICSS)},
	year = {2019},
	month = {09/2018},
	abstract = {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.},
	url = {https://www.alexandria.unisg.ch/publications/254994},
	author = {Dominik Dellermann and Adrian Calma and Nikolaus Lipusch and Thorsten Weber and Sascha Weigel and Philipp Ebel}
}
@article {2019,
	title = {The future of the work in America},
	year = {2019},
	month = {07/2019},
	keywords = {consulting reports},
	url = {https://www.mckinsey.com/featured-insights/future-of-work/the-future-of-work-in-america-people-and-places-today-and-tomorrow},
	author = {Susan Lund and James Manyika and Liz Hilton Segal and Andre Dua and Bryan Hancock and Scott Rutherford and Brent Macon}
}
@article {2019,
	title = {The future of women at work},
	volume = {McKinsey Global Institute},
	year = {2019},
	month = {06/2019},
	keywords = {consulting reports},
	url = {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},
	author = {Anu Madgavkar and James Manyika and Mekala Krishnan and Kweilin Ellingrud and Lareina Yee and Jonathan Woetzel and Michael Chui and Vivian Hunt and Sruti Balakrishnan}
}
@article {2019,
	title = {Future of work initiatives promise lots of noise and lots of activity, but to what end?},
	year = {2019},
	url = {https://sloanreview.mit.edu/article/reframing-the-future-of-work/},
	author = {Jeff Schwartz and John Hagel III and Maggie Wooll and Kelly Monahan}
}
@article {2018,
	title = {Fedex follows Amazon into the robotic future},
	year = {2018},
	url = {https://www.nytimes.com/2018/03/18/technology/fedex-robots.html},
	author = {Cade Metz}
}
@article {2018,
	title = {Financing Terror Enterprises Funding Operations in Prolonged Conflicts in South Asia},
	year = {2018},
	institution = {KW Publishers Pvt Ltd},
	address = {New Delhi},
	issn = {23939729},
	url = {https://www.claws.in/images/publication_pdf/1589740822_1515901225_MP71-NikitaKohli(Final)_CLAWS.pdf},
	author = {Nikita Kohli}
}
@article {2018,
	title = {foo.castr: visualising the future AI workforce},
	journal = {Big Data Analytics},
	volume = {3},
	year = {2018},
	month = {Jan-12-2018},
	doi = {10.1186/s41044-018-0034-z},
	author = {Amador Diaz Lopez, Julio and Molina-Solana, Miguel and Kennedy, Mark T.}
}
@article {2018,
	title = { forbes.com 10 Amazing Examples Of How Deep Learning AI Is Used In Practice? },
	year = {2018},
	author = {Bernard Marr}
}
@conference {2018,
	title = {A framework for understanding chatbots and their future},
	booktitle = {the 11th International WorkshopProceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering  - CHASE {\textquoteright}18},
	year = {2018},
	pages = {13 - 16},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Gothenburg, SwedenNew York, New York, USA},
	isbn = {9781450357258},
	doi = {10.1145/3195836.3195859},
	author = {Paikari, Elahe and van der Hoek, Andr{\'e}}
}
@article {2018,
	title = {Future of artificial intelligence: Japan{\textquoteright}s path to growth},
	journal = {American Journal Of Modern Physics And Application},
	volume = {5},
	year = {2018},
	month = {05/2018},
	pages = {48-52},
	url = {https://www.researchgate.net/publication/326625497_Future_of_Artificial_Intelligence_Japan{\textquoteright}s_Path_to_Growth_Email_address},
	author = {Salman Abdou and Nadeen Nustafa Kamal}
}
@article {2018,
	title = {The future of work, business education, and the role of AACSB},
	journal = {Journal of Legal Studies Education},
	volume = {35},
	year = {2018},
	month = {Jan-12-2018},
	pages = {165 - 170},
	doi = {10.1111/jlse.2018.35.issue-110.1111/jlse.12073},
	author = {Beck-Dudley, Caryn L.}
}
@article {2018,
	title = {The Future of Work: Compulsory, by Martha Wells},
	year = {2018},
	url = {https://www.wired.com/story/future-of-work-compulsory-martha-wells/},
	author = {Martha Wells}
}
@article {2018,
	title = {The future of work in the light of technological change},
	volume = {UDC: 005.32:005.95/.96},
	year = {2018},
	type = {Original Scientific Paper},
	abstract = {Abstract: Technological unemployment, a phenomenon that has been relevant for decades, is now
reaching a new dimension. There is a growing number of discussions about whether technology is the
main culprit for the rising trend of unemployment rates around the world, therefore, the paper discusses the impact of technological changes on the labour market. We conducted a survey in Slovenian
companies with more than 100 employees in order to find out their view on replacing workers with
technology, as well as the reasons and consequences of new technology. We discussed the results of our
research and the views, findings and suggestions of various authors. We have found that technological
unemployment is not a simple problem, as this phenomenon is intertwined with various issues, and
that technology presents various dangers which may at first seem less visible.},
	keywords = {Impact of technology on the labour market, Labour market, Technological unemployment},
	url = {http://media3.novi.economicsandlaw.org/2017/07/Vol23/IJEAL-23-09.pdf},
	author = {Vesna Novak and Denis Dizdarevic}
}
@article {2018,
	title = {The Future of Work: Robots Cooking Free Lunches?},
	journal = {European View},
	volume = {17},
	year = {2018},
	month = {Jun-10-2020},
	pages = {241 - 241},
	issn = {1781-6858},
	doi = {10.1177/1781685818813010},
	author = {Turk, Ziga}
}
@article {2018,
	title = {The Future of Work: The Trustless, by Ken Liu},
	year = {2018},
	url = {https://www.wired.com/story/future-of-work-trustless-ken-liu/},
	author = {Ken Liu}
}
@article {2017,
	title = {The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms},
	journal = {Futures},
	volume = {90},
	year = {2017},
	month = {Jan-06-2017},
	pages = {46 - 60},
	issn = {00163287},
	doi = {10.1016/j.futures.2017.03.006},
	author = {Makridakis, Spyros}
}
@book {2017,
	title = {The Frontiers of MACHINE LEARNING},
	year = {2017},
	url = {https://www.nap.edu/read/25021/chapter/5},
	author = {Lisa Casola}
}
@article {2017,
	title = {The future of employment: How susceptible are jobs to computerisation?},
	journal = {Technological Forecasting and Social Change},
	volume = {114},
	year = {2017},
	month = {Jan-01-2017},
	pages = {254 - 280},
	issn = {00401625},
	doi = {10.1016/j.techfore.2016.08.019},
	author = {Frey, Carl Benedikt and Osborne, Michael A.}
}
@article {2017,
	title = {The future of skills employment in 2030},
	year = {2017},
	keywords = {consulting reports},
	url = {https://futureskills.pearson.com/research/assets/pdfs/technical-report.pdf}
}
@article {2017,
	title = {A future that works: Automation, employment and productivity},
	year = {2017},
	url = {https://www.mckinsey.com/mgi/overview},
	author = {James Manyika and Michael Chui and Mehdi Miremadi and Jaccques Bughin and Katy George and Paul Willmott and Martin Dewhurst}
}
@article {2016,
	title = {The Future of Artificial Intelligence},
	journal = {Big Data},
	volume = {4},
	year = {2016},
	month = {Jan-03-2016},
	pages = {5 - 9},
	issn = {2167-6461},
	doi = {10.1089/big.2016.29004.vda},
	author = {Dhar, Vasant}
}
@booklet {RN30611,
	title = {The Future of Jobs: Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution},
	year = {2016},
	publisher = {World Economic Forum},
	type = {Report},
	author = {The World Economic Forum}
}
@article {2015,
	title = {Facebook launches M, its bold answer to Siri and Cortana},
	year = {2015},
	url = {https://www.wired.com/2015/08/facebook-launches-m-new-kind-virtual-assistant/},
	author = {Jessi Hempel}
}
@article {RN30610,
	title = {Four fundamentals of workplace automation},
	journal = {McKinsey Quarterly},
	year = {2015},
	month = {November},
	pages = {1{\textendash}9},
	type = {Magazine Article},
	author = {Chui, Michael and Manyika, James and Miremadi, Mehdi}
}
@article {2014,
	title = {Four scenarios exploring the future of youth employment},
	year = {2014},
	month = {12/2014},
	url = {https://assets.rockefellerfoundation.org/app/uploads/20141201215005/FutureofYouthEmployment.pdf},
	author = {Caroline Budhan and Abigail Carlton and Evan O{\textquoteright}Donnel}
}
@conference {kittur2013future,
	title = {The future of crowd work},
	booktitle = {Proceedings of the 2013 conference on Computer supported cooperative work},
	year = {2013},
	pages = {1301{\textendash}1318},
	publisher = {ACM},
	organization = {ACM},
	author = {Kittur, Aniket and Jeffrey V Nickerson and Michael S. Bernstein and Gerber, Elizabeth and Shaw, Aaron and Zimmerman, John and Lease, Matt and Horton, John}
}
@article {2012,
	title = {A few useful things to know about machine learning},
	journal = {Communications of the ACM},
	volume = {55},
	year = {2012},
	month = {Jan-10-2012},
	pages = {78},
	issn = {00010782},
	doi = {:10.1145/2347736.2347755},
	author = {Domingos, Pedro}
}
@article {2000,
	title = {From human {\textendash} machine interaction to human {\textendash} machine cooperation},
	journal = {Ergonomics},
	volume = {43},
	year = {2000},
	month = {Oct-07-2000},
	pages = {833 - 843},
	issn = {0014-0139},
	doi = {10.1080/001401300409044},
	author = {Hoc, Jean-Michel}
}
