@article {2020,
	title = {Artificial intelligence and the world of work, a co-constitutive relationship},
	journal = {Journal of the Association for Information Science and Technology},
	year = {2020},
	abstract = {<p>The use of intelligent machines{\textemdash}digital technologies that feature data- driven forms of customization, learning, and autonomous action{\textemdash}is rapidly growing and will continue to impact many industries and domains. This is consequential for communities of researchers, educators, and practitioners concerned with studying, supporting, and educating information profes- sionals. In the face of new developments in artificial intelligence (AI), the research community faces 3 questions: (a) How is AI becoming part of the world of work? (b) How is the world of work becoming part of AI? and (c) How can the information community help address this topic of Work in the Age of Intelligent Machines (WAIM)? This opinion piece considers these 3 questions by drawing on discussion from an engaging 2019 iConference workshop organized by the NSF supported WAIM research coordination net- work (note: https://waim.network).</p>},
	issn = {2330-1635},
	doi = {10.1002/asi.24388},
	author = {{\O}sterlund, Carsten and Jarrahi, Mohammad Hossein and Willis, Matthew and Boyd, Karen and Wolf, Christine}
}
@article {2019,
	title = {In the age of the smart artificial intelligence: AI{\textquoteright}s dual capacities for automating and informating work},
	journal = {Business Information Review},
	year = {2019},
	month = {Dec-10-2020},
	pages = {026638211988399},
	publisher = {Sage},
	abstract = {Recent developments in artificial intelligence (AI) have generated tidal waves, which are shaking the foundation of organizations and businesses. Even though AI is considered an unprecedented disruptive force for work automation, much can be learned from current research on the computerization of work. Drawing on the seminal work of Shoshana Zuboff, this article provides a balanced perspective on the dual affordances of AI systems for automating and informating work. Whereas AI offers unique capacities for automating cognitive work that once required high-skill workers, it may be a source of unintended consequences such as cognitive complacency or de-skilling workers. To overcome such effects, the informating capacities of AI systems can be invoked to augment work, generate a more comprehensive perspective on organization, and finally equip workers with new sets of intellectual skills.

},
	keywords = {Algorithmic management, artificial intelligence, augmentation, automating, informating, intelligent machine},
	issn = {0266-3821},
	doi = {10.1177/0266382119883999},
	url = {https://journals.sagepub.com/doi/abs/10.1177/0266382119883999},
	attachments = {https://waim.network/sites/crowston.syr.edu/files/In\%20the\%20Age\%20of\%20the\%20Smart\%20Artificial\%20Intelligence\%20AI\%E2\%80\%99s\%20Dual\%20Capacities\%20for\%20Automating\%20and\%20Informating.pdf},
	author = {Jarrahi, Mohammad Hossein}
}
@article {2018,
	title = {Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making},
	journal = {Business Horizons},
	volume = {61},
	year = {2018},
	month = {Jan-07-2018},
	pages = {577 - 586},
	issn = {00076813},
	doi = {10.1016/j.bushor.2018.03.007},
	author = {Jarrahi, Mohammad Hossein}
}
