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Dyuti Pandya European Centre for International Political Economy
Devesh Narayanan Stanford University
Bas Becker Vrije Universiteit Amsterdam
Luciana Dadderio Edinburgh University
Jocelyn Cranefield Victoria University of Wellington

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Taming artificial intelligence: A theory of control–accountability alignment among AI developers and users , Gudela Grote; Sharon Parker; Kevin Crowston
Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy , Carsten Østerlund; Kevin Crowston; Corey B. Jackson; Yunan Wu; Alexander O. Smith; Aggelos K. Katsaggelos
Deskilling and upskilling with generative AI systems , Kevin Crowston; Francesco Bolici
The task matters: The effect of perceived similarity to AI on intention to use in different task types , Qingyu Liang; Kevin Crowston; Sangseok You
ReelFramer: Human-AI Co-Creation for News-to-Video Translation , Sitong Wang; Samia Menon; Tao Long; Keren Henderson; Dingzeyu Li; Kevin Crowston; Mark Hansen; Jeffrey V. Nickerson; Lydia B. Chilton

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WAIM Doctoral Research Fellowship CFP , Presentation , Kevin Crowston, Ingrid Erickson, Jeffrey Nickerson
Using Work System Theory, Facets of Work, and Dimensions of Smartness to Characterize Applications and Impacts of AI , Report , Steven Alter
Converging Design: AI, Jobs, Job Design and Organizations , Presentation , Discussion Group

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The future of women at work

Publication Type:

Web site

Authors:

Anu Madgavkar; James Manyika; Mekala Krishnan; Kweilin Ellingrud; Lareina Yee; Jonathan Woetzel; Michael Chui; Vivian Hunt; Sruti Balakrishnan

Source:

Volume McKinsey Global Institute (2019)

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

Keywords:

consulting reports