UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

How Stakeholders Operationalize Responsible Artificial Intelligence (AI) in Data Sensitive Contexts

Sharma, Shivaang; Aristidou, Angela; (2025) How Stakeholders Operationalize Responsible Artificial Intelligence (AI) in Data Sensitive Contexts. MIS Quarterly Executive (In press).

[thumbnail of MISQE-2024-0050.R2_Proof_hi.pdf] Text
MISQE-2024-0050.R2_Proof_hi.pdf - Accepted Version
Access restricted to UCL open access staff until 7 September 2025.

Download (548kB)
Type: Article
Title: How Stakeholders Operationalize Responsible Artificial Intelligence (AI) in Data Sensitive Contexts
Publisher version: https://aisel.aisnet.org/misqe/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management
URI: https://discovery.ucl.ac.uk/id/eprint/10205651
Downloads since deposit
Loading...
1Download
Download activity - last month
Loading...
Download activity - last 12 months
Loading...
Downloads by country - last 12 months
Loading...

Archive Staff Only

View Item View Item