"AI Act high-risk AI compliance challenge and industry impact: A multiple ..."

Matthias Wagner et al. (2026)

> Home

Details and statistics

DOI: 10.1016/J.INFSOF.2026.108067

access: closed

type: Journal Article

metadata version: 2026-03-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/infsof/WagnerSBEL26
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/infsof/WagnerSBEL26
Matthias Wagner, Qunying Song, Markus Borg, Emelie Engström, Michal Lysek:
AI Act high-risk AI compliance challenge and industry impact: A multiple case study. Inf. Softw. Technol. 194: 108067 (2026)

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.