"Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence ..."

Nikola Banovic et al. (2023)

> Home

Details and statistics

DOI: 10.1145/3579460

access: closed

type: Journal Article

metadata version: 2023-05-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/pacmhci/BanovicYRL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/pacmhci/BanovicYRL23
Nikola Banovic, Zhuoran Yang, Aditya Ramesh, Alice Liu:
Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-17 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.