@article {Brundage2020,
	title = {Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims},
	year = {2020},
	pages = {1{\textendash}9},
	abstract = {With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and recognition that existing regulations and norms in industry and academia are insufficient to ensure responsible AI development. In order for AI developers to earn trust from system users, customers, civil society, governments, and other stakeholders that they are building AI responsibly, they will need to make verifiable claims to which they can be held accountable. Those outside of a given organization also need effective means of scrutinizing such claims. This report suggests various steps that different stakeholders can take to improve the verifiability of claims made about AI systems and their associated development processes, with a focus on providing evidence about the safety, security, fairness, and privacy protection of AI systems. We analyze ten mechanisms for this purpose{\textendash}spanning institutions, software, and hardware{\textendash}and make recommendations aimed at implementing, exploring, or improving those mechanisms.},
	url = {http://arxiv.org/abs/2004.07213},
	author = {Brundage, Miles and Avin, Shahar and Wang, Jasmine and Belfield, Haydn and Krueger, Gretchen and Hadfield, Gillian and Khlaaf, Heidy and Yang, Jingying and Toner, Helen and Fong, Ruth and Maharaj, Tegan and Koh, Pang Wei and Hooker, Sara and Leung, Jade and Trask, Andrew and Bluemke, Emma and Lebensold, Jonathan and O{\textquoteright}Keefe, Cullen and Koren, Mark and Ryffel, Th{\'e}o and Rubinovitz, JB and Besiroglu, Tamay and Carugati, Federica and Clark, Jack and Eckersley, Peter and de Haas, Sarah and Johnson, Maritza and Laurie, Ben and Ingerman, Alex and Krawczuk, Igor and Askell, Amanda and Cammarota, Rosario and Lohn, Andrew and Krueger, David and Stix, Charlotte and Henderson, Peter and Graham, Logan and Prunkl, Carina and Martin, Bianca and Seger, Elizabeth and Zilberman, Noa and H{\'E}igeartaigh, Se{\'a}n {\'O} and Kroeger, Frens and Sastry, Girish and Kagan, Rebecca and Weller, Adrian and Tse, Brian and Barnes, Elizabeth and Dafoe, Allan and Scharre, Paul and Herbert-Voss, Ariel and Rasser, Martijn and Sodhani, Shagun and Flynn, Carrick and Gilbert, Thomas Krendl and Dyer, Lisa and Khan, Saif and Bengio, Yoshua and Anderljung, Markus}
}
@book {2019,
	title = {Educating those most impacted by artificial intelligence},
	volume = {11626},
	year = {2019},
	pages = {344 - 349},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-030-23206-1},
	issn = {0302-9743},
	doi = {10.1007/978-3-030-23207-8_63},
	author = {Gemmell, Laura and Wenham, Lucy and Hauert, Sabine},
	editor = {Isotani, Seiji and Mill{\'a}n, Eva and Ogan, Amy and Hastings, Peter and McLaren, Bruce and Luckin, Rose}
}
@conference {2019,
	title = {How Smart is your Manufacturing? Build Smarter with AI},
	booktitle = {2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)},
	year = {2019},
	pages = {55 - 60},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Milwaukee, WI, USA},
	isbn = {978-1-7281-2607-4},
	doi = {10.1109/COMPSAC.2019.10183},
	author = {Mcmahon, Mike and Mumper, Dale and Ihaza, Mitsuko and Farrar, Dominic}
}
@article {2019,
	title = {Machine learning concepts, concerns and opportunities for a pediatric radiologist},
	journal = {Pediatric Radiology},
	volume = {49},
	year = {2019},
	month = {Jan-04-2019},
	pages = {509 - 516},
	issn = {0301-0449},
	doi = {10.1007/s00247-018-4277-7},
	author = {Moore, Michael M. and Slonimsky, Einat and Long, Aaron D. and Sze, Raymond W. and Iyer, Ramesh S.}
}
@conference {2018,
	title = {Artificial General Intelligence},
	year = {2018},
	url = {https://ivizlab.org/wp-content/uploads/sites/2/2018/09/TurnerDiPaola_2018_ArtificialGeneralIntelligence.pdf},
	author = {Matthew Ikl{\'e} and Arthur Franz and Rafal Rzepka and Ben Goertzel}
}
@conference {2018,
	title = {Artificial Intelligence Applications and Innovations},
	booktitle = {14th IFIP WG 12.5 International Conference, AIAI 2018},
	year = {2018},
	url = {https://www.springer.com/gp/book/9783319920153},
	author = {Lazaros Iliadis and Ilias Maglogiannis and Vassilis Plagianakos}
}
@article {2018,
	title = {Automated Classification of chest X-ray images as normal or abnormal using Convolutional Neural Network},
	journal = {Asian Journal of Convergence in Technology},
	volume = {4},
	year = {2018},
	month = {04/2018},
	abstract = {Chest X-Rays are generally used for diagnosing abnormalities in the thoracic area. Radiologists need to spend significant amount of time for interpreting scans. Automatic classification of these images could greatly help radiology interpretation process by enhancing real world diagnosis of problems. Hence, radiologists can focus on detecting abnormalities from the abnormal images rather than checking for it in all the images. In this paper, we present a machine learning approach to solve this problem. Here, the algorithm uses COnvolutional Neural Networks (CNN) to learn and classify chest X-ray images as normal or abnormal based on image features.},
	keywords = {classification, machine learning, radiology},
	author = {Aayushi Gupta and Anupama C and P Indumathi and Anuj Kumar}
}
@article {2018,
	title = {Automation and the future of jobs in India},
	year = {2018},
	month = {11/2018},
	publisher = {University of Pennsylvania},
	type = {Economy, Politics, Science and Technology},
	keywords = {economics of automation},
	url = {https://casi.sas.upenn.edu/iit/kuriakoseiyer},
	author = {Francis Kuriakose and Deepa Iyer}
}
@article {2018,
	title = {iNaturalist as a tool to expand the research value of museum specimens},
	journal = {Applications in Plant Sciences},
	volume = {6},
	year = {2018},
	month = {Jan-11-2018},
	pages = {e01193},
	keywords = {AI use cases},
	doi = {10.1002/aps3.1193},
	author = {Heberling, J. Mason and Isaac, Bonnie L.}
}
@book {2018,
	title = {Lecture Notes in Computer ScienceArtificial General IntelligenceTowards a Sociological Conception of Artificial Intelligence},
	volume = {10999},
	year = {2018},
	pages = {130 - 139},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-97675-4},
	issn = {0302-9743},
	doi = {10.1007/978-3-319-97676-1},
	author = {Jakub Mlynar and Hamed S. Alavi and Himanshu Verma and Lorenzo Cantoni},
	editor = {Matthew Ikl{\'e} and Arthur Franz and Rafal Rzepka and Ben Goertzel}
}
@article {2018,
	title = {Managing talented worker in the era of new psychological contract},
	journal = {Jurnal Aplikasi Manajemen},
	volume = {16},
	year = {2018},
	month = {Jan-03-2018},
	pages = {20 - 26},
	issn = {16935241},
	doi = {10.21776/ub.jam.2018.016.01.03},
	author = {Haryadi, Haryadi and Anggraeni, Ade Irma and Ibrahim, Daing Nasir}
}
@article {2018,
	title = {Occupational Classifications With A Machine Learning Approach},
	year = {2018},
	keywords = {administrative data, machine learning, occupational classifications, transaction data, UMETRICS},
	url = {https://www.iza.org/publications/dp/11738/occupational-classifications-a-machine-learning-approach},
	author = {Akina Ikudo and Julia Lane and Joseph Staudt and Bruce A. Weinberg}
}
@article {2018,
	title = {Robot vs. tax inspector or how the fourth industrial revolution will change the tax system: a review of problems and solutions},
	journal = {Journal of Tax Reform},
	volume = {4},
	year = {2018},
	month = {Jan-01-2018},
	pages = {6 - 26},
	abstract = {The fourth Industiral Revolution and the accelerated development of cyber-physical technologies lead to essential changes in national tax systems and international taxation. The main areas in which taxation meets cyber-physical technologies are digitization, robotization, M2M and blockchain technologies. Each of these areas has its own opportunities and problems. Three main approaches towards possible solutions for these new problems are identified. The first is to try to apply taxation to new cyber-physical technologies and products of their application. This approach includes the OECD{\textquoteright}s Action 1 plan on Base Erosion and Profit Shifting. It also includes the spread of traditional taxes on new objects - personal data, cryptocurrencies, imputed income of robots. The second is to replace digital transactions and shortfalls in revenues by traditional objects of taxation in the form of tangible assets and people and / or increase tax pressure (including by improving tax administration with use of Big Data) and the degree of progressiveness of taxes already levied on such objects. The third approach is to set a course on building a new tax space with smart taxes based on real-time principles, smart contracts and Big Data. This implies a transition to automatic taxation using blockchain technologies, which focus on the functions of applying distributed ledgers of business transactions in real-time. At present, the general trends are such that the first and second are prevalent, which is manifested in an increase in the relative importance of property, sales and employment taxes. Concerning the third approach, any movement in this direction is still facing a number oftechnical and other problems and is thus being discussed mainly at the conceptual level},
	keywords = {blockchain, cyber-physical technologies, digitization, taxes in Big Data, taxes on cryptocurrencies, taxes on digital goods, taxes on robots},
	issn = {24128872},
	doi = {10.15826/jtr.2018.4.1.042},
	url = {https://jtr.urfu.ru/en/archive/journal/95/article/1113/},
	author = {Vishnevsky, Valentine P. and Chekina, Viktoriia D.}
}
@conference {2017,
	title = {SPIE ProceedingsBuilding a framework to manage trust in automation},
	booktitle = {SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications IX},
	volume = {10194},
	year = {2017},
	pages = {101941U},
	publisher = {SPIE},
	organization = {SPIE},
	address = {Anaheim, California, United States},
	doi = {10.1117/12.2264245},
	author = {Metcalfe, J. S. and Amar R. Marathe and Haynes, B. and Paul, V. J. and Gremillion, G. M. and Drnec, K. and Atwater, C. and Estepp, J. R. and Lukos, J. R. and Carter, E. C. and W. D. Nothwang},
	editor = {George, Thomas and Dutta, Achyut K. and Islam, M. Saif}
}
@article {2016,
	title = {Algorithms, governance, and governmentality},
	journal = {Science, Technology, \& Human Values},
	volume = {41},
	year = {2016},
	month = {Jun-01-2018},
	pages = {17 - 49},
	issn = {0162-2439},
	doi = {10.1177/0162243915587360},
	author = {Introna, Lucas D.}
}
@conference {2016,
	title = {SPIE ProceedingsAn efficient fusion approach for combining human and machine decisions},
	booktitle = {SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications VIII},
	volume = {9836},
	year = {2016},
	pages = {983621},
	publisher = {SPIE},
	organization = {SPIE},
	address = {Baltimore, Maryland, United States},
	doi = {10.1117/12.2220788},
	url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2220788},
	author = {Lee, Hyungtae and Kwon, Heesung and Ryan M. Robinson and W. D. Nothwang and Amar R. Marathe},
	editor = {George, Thomas and Dutta, Achyut K. and Islam, M. Saif}
}
@article {2014,
	title = {Occupational identity, technological change, and the librarian/internet-search relationship},
	journal = {Academy of Management Journal},
	volume = {57},
	year = {2014},
	month = {Jan-06-2014},
	pages = {892 - 928},
	issn = {0001-4273},
	doi = {10.5465/amj.2012.0201},
	author = {Nelson, Andrew J. and Irwin, Jennifer}
}
@inbook {2003,
	title = {Work design},
	booktitle = {Handbook of Psychology: Industrial and Organizational Psychology},
	volume = {12},
	year = {2003},
	pages = {423{\textendash}452},
	publisher = {Wiley},
	organization = {Wiley},
	address = {Hoboken, NY},
	author = {Frederick P. Morgeson and Campion, Michael A.},
	editor = {W. Borman and Ilgen, D. and Klimoski, R.}
}
@article {2001,
	title = {Desperately seeking "IT" in IT research: A call to theorizing the IT artifact},
	journal = {Information Systems ResearchInformation Systems Research},
	volume = {12},
	number = {2},
	year = {2001},
	pages = {121{\textendash}134},
	author = {Wanda J. Orlikowski and C. Suzanne Iacono}
}
