Computer Science
Generative AI and the Nature of Work
M. Hoffmann, S. Boysel, et al.
Access to GitHub Copilot shifts developers’ time back toward core coding and away from project management, increasing independent and exploratory work—especially among lower-ability individuals—signaling AI’s power to reshape workflows and flatten hierarchies. Research conducted by Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Education
AI and ethics: Investigating the first policy responses of higher education institutions to the challenge of generative AI
A. Dabis and C. Csáki
Computer Science
The paradox of creativity in generative AI: high performance, human-like bias, and limited differential evaluation
J. Desdevises
Computer Science
The paradox of creativity in generative AI: high performance, human-like bias, and limited differential evaluation
J. Desdevises
Education
Decent work and innovative work behavior of academic staff in higher education institutions: the mediating role of work engagement and job self-efficacy
R. S. Hassan, H. M. G. Amin, et al.
