Interested in reading more about AI in the Workplace? You can explore the resources below.
(Developed for AI Week at UNC Charlotte)
General AI Resources for Broad Audiences (Books):
AI in the Workplace. By Andrew Pilny, Camille Endacott, & Jeffrey Treem.
With AI tools now integrated into everything from hiring systems and team collaboration platforms to strategic decision-making processes, there’s a pressing need to move beyond either fear or hype. AI in the Workplace explores how artificial intelligence is reshaping organizational life, often in ways that are subtle yet deeply consequential. This book answers that need by providing an accessible, critical, and often humorous guide for understanding what AI is, how it works, and what it means for the ways we work and interact in professional settings.
The Skill Code: How to Save Human Ability in an Age of Intelligent Machines.By Matt Beane.
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI. By Paul Leonardi and Tsedal Neeley.
My favorite (so far) Substack that makes a case for resisting the optimization of our lives: The Convivial Society.
Primer on AI, Machine Learning, Deep Learning, etc.
Example of solid study with observed effects of AI on performance.
Studying AI and Work
Work and Technological Change. By Steve Barley.
Hidden Work and AI (Books)
Ghost Work: How to Stop Silicon Valley From Building a New Underclass. by Mary L. Gray and Siddharth Suri.
Heteromation and Other Stories of Computing Capitalism. by Bonnie Nardi and Hamid Ekbia.
Research Studies and Chapters Referenced in Talk
Endacott, C. G. (2024). Enacting machine agency when AI makes one’s day: understanding how users relate to AI communication technologies for scheduling. Journal of Computer-Mediated Communication, 29(4), zmae011.
Endacott, C. G., & Leonardi, P. M. (2022). Artificial intelligence and impression management: Consequences of autonomous conversational agents communicating on one’s behalf. Human Communication Research, 48(3), 462-490.
Endacott, C. G., & Leonardi, P. M. (2024). Artificial intelligence as a mechanism of algorithmic isomorphism. In Research handbook on artificial intelligence and decision making in organizations (pp. 342-358). Edward Elgar Publishing.
Li, J., Chu, Y., & Xu, J. (2023). Impression transference from AI to human: The impact of AI’s fairness on interpersonal perception in AI-Mediated communication. International Journal of Human-Computer Studies, 179, 103119.
Mieczkowski, H., & Hancock, J. (2022). Examining agency, expertise, and roles of AI systems in AI-mediated communication. OSF Preprints, 15.
Prasad, P. (1995). Working with the “smart” machine: Computerization and the discourse of anthropomorphism in organizations. Culture and Organization, 1(2), 253-265.
Have something else to recommend? Reach out!