Abstract
Artificial intelligence (AI) is gaining traction within many areas of expertise. Drawing on fieldwork within an Emergency Medical Response (EMS) unit, we explore the ways in which AI become embedded within an infrastructure of expertise to detect cardiac arrest. We analyze how emergency medical response work is practiced through three distinct yet interwoven forms of expertise: clinical, relational, and technological. Together, these three forms of expertise are embedded in a larger infrastructure that reaches beyond the EMS unit and that must be configured locally, in each individual call, according to what the situation in the call requires. We show that expertise in this setting revolves around a doubt/trust nexus where algorithmic inputs are used and works in several ways, also when it is not responding to a call, depending on how doubt/trust is configured.
Original language | English |
---|---|
Title of host publication | Academy of Management Proceedings |
Publisher | Academy of Management |
Publication date | 2023 |
DOIs | |
Publication status | Published - 2023 |
Event | Academy of Management Annual Meeting 2023 - Boston, Boston, United States Duration: 4 Aug 2023 → 8 Aug 2023 Conference number: 83 https://aom.org/events/annual-meeting/annual-meeting-program |
Conference
Conference | Academy of Management Annual Meeting 2023 |
---|---|
Number | 83 |
Location | Boston |
Country/Territory | United States |
City | Boston |
Period | 04/08/2023 → 08/08/2023 |
Internet address |
Series | Academy of Management Proceedings |
---|---|
Number | 1 |
Volume | 2023 |
ISSN | 2151-6561 |