Who's new

Devesh Narayanan Stanford University
Bas Becker Vrije Universiteit Amsterdam
Luciana Dadderio Edinburgh University
Jocelyn Cranefield Victoria University of Wellington
Wayne Wang Fundação Getulio Vargas

Recent publications

Technological Frames: Interpretations about the Futures of Work and Intelligent Machines on Social Media , Ayşe Öcal; Kevin Crowston
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
Making sense of AI systems development , Mateusz Dolata; Kevin Crowston
AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models , Savvas Petridis; Nicholas Diakopoulos; Kevin Crowston; Mark Hansen; Keren Henderson; Stan Jastrzebski; Jefrey V. Nickerson; Lydia B. Chilton
Project archetypes: A blessing and a curse for AI development , Mateusz Dolata; Kevin Crowston; Gerhard Schwabe

Recently added resources

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

Pages

You are here

Papers

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 11 results:

Filters: First Letter Of Keyword is G [Clear All Filters]

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

C

Clifton, J., Clifton, J., Glasmeier, A., & Gray, M.. (2020). When machines think for us: The consequences for work and place. Cambridge Journal Of Regions, Economy And Society, 13, 3–23. https://doi.org/10.1093/cjres/rsaa004

D

del Sol, P. Egana, Joyce, C., Del Sol, P. Egaña, & Joyce, C.. (2020). The Future of Work in Developing Economies. Mit Sloan Management Review, 61, 1–3.

del Sol, P. Egana, Joyce, C., Del Sol, P. Egaña, & Joyce, C.. (2020). The Future of Work in Developing Economies. Mit Sloan Management Review, 61, 1–3.

G

Gries, T., & Naude, W.. (2018). Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter. In Maastricht Economic and social Research institute on Innovation and Technology. Retrieved de http://ftp.iza.org/dp12005.pdf

R

Ramaphosa, C., & Lofven, S.. (2019). Global commission on the future of work. In Work for a brighter future. Retrieved de https://www.ilo.org/global/topics/future-of-work/WCMS_569528/lang--en/index.htm

S

Stilgoe, J. (2017). Seeing Like a Tesla: How Can We Anticipate Self-Driving Worlds?. Glocalism, 3. https://doi.org/10.12893/gjcpi.2017.3.2

T

Tyers, R., & Zhou, Y.. (2018). Automation, taxes and transfers with international rivalry. In Centre for Applied Macroeconomic Analysis. Retrieved de https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2018-09/44_2018_tyers_zhou.pdf