Abstract
Artificial Intelligence (AI) and machine learning (ML) algorithms are changing the work in many ways. One hitherto little-studied area is how these technologies are impacting leader-employee relationships, particularly employees' trust relationships in their “flesh-and-blood” leaders. In this paper, we discuss how algorithms change the nature of leadership when some leadership functions become automated. As a consequence, employees will often find themselves in a “two-leader-situation” with resulting frictions, that create novel leadership focus areas. Three situations, in particular, can be trust-problematic in the eyes of followers: the triad relationship might (1) make responsibilities blur, (2) create conflicting decisions of human leaders and algorithms, and (3) make employees' voice unheard. We argue that these situations can undermine employee perceptions of leaders' trustworthiness as followers might start to question a leaders' ability, benevolence, and integrity if leaders do not understand these novel situations.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 |
| Editors | Tung X. Bui |
| Publisher | University of Hawaii at Manoa |
| Pages | 5473-5482 |
| Number of pages | 10 |
| ISBN (Electronic) | 9780998133140 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 - Virtual, Online Duration: 4 Jan 2021 → 8 Jan 2021 Conference number: 54 |
Conference
| Conference | 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 |
|---|---|
| Abbreviated title | HICSS 2021 |
| City | Virtual, Online |
| Period | 4/01/21 → 8/01/21 |