Maximizing Generative AI Benefits with Task Creativity and Human Validation

Authors

Charu Sinha, Chapman UniversityFollow
Veselina P. Vracheva, Chapman UniversityFollow
Cristina Nistor, Chapman UniversityFollow

Document Type

Article

Publication Date

7-31-2024

Abstract

Much of the existing literature on generative AI applications is conflicting, with findings suggesting that investing in AI will lead to better organizational outcomes but also pointing out that incorporating AI may be a wasteful even counterproductive initiative. We develop a conceptual frame-work to characterize generative AI benefits based on the types of tasks that generative AI may be used for in management. Our work suggests that task creativity plays a key role in successful generative AI outcomes, but human validation - the extent to which a human engages in a supervisory role - is required to reap the benefits. Our conceptual framework is focused on white collar jobs and suggests that the management of generative AI is a strategic choice with important managerial implications.

Comments

This article was originally published in Journal of Behavioral and Applied Management, volume 24, issue 2, in 2024. https://doi.org/10.21818/001c.122147

Recommended Citation

Sinha, C., Vracheva, V., & Nistor, C. (2024). Maximizing generative AI benefits with task creativity and human validation. Journal of Behavioral and Applied Management, 24(2), 112–122. https://doi.org/10.21818/001c.122147

Peer Reviewed

1

Copyright

Institute of Behavioral and Applied Management

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.