Abstract:

Artificial Intelligence (AI) can play diverse roles within organizational hierarchies, ranging from enforcing control as AI managers to empowering workers as productivity tools. This talk will present empirical evidence highlighting ethical challenges on both fronts. As managers, AI may be aversive due to the lack of subjectivity or appreciated due to the lack of discrimination. In a Minecraft-based production experiment, we find that AI managers can impose wage reductions without eliciting strong perceptions of unfairness or demotivation from workers. As productivity tools, generative AI has been shown effective across various occupations yet calls for transparency and disclosure are increasing. In a job application study, we show that mandatory AI labeling can have unintended consequences, discouraging AI adoption and introducing biases in human evaluations of work quality. Policy and regulatory implications will be discussed, emphasizing the need for balanced approaches to AI governance in the workplace. 

General information:

Attendance to this seminar is possible by invitation only. Please send an e-mail to secbs-abs@uva.nl if your are interested in attending this seminar.