Publications of the FoundationGender & AI at workTitle
Publications of the FoundationGender & AI at work
Title
Bibliographic Metadata
Bibliographic Metadata
- TitleGender & AI at work : strengthening OSH to address algorithmic risks
- Author
- Corporate name
- Published
- Description1 Online-Ressource (8 Seiten) : Diagramm
- LanguageEnglish
- Series
- Document typeBook
- Topics
- Geographicals
- URN
Restriction-Information
- The document is publicly available on the WWW
Links
- Reference
- Archive
Classification
Abstract
- In light of gender-specific organisational safety and health (OSH) risks associated with algorithmic and artificial intelligence systems in the workplace, this paper proposes measures to mitigate discrimination risks. A “built-in” approach to the monitoring of AI-systems is purposed, inspired by Norwegian guidelines for non-discriminatory AI. It is further argued that the AI-literacy gap needs to be bridged, and that unions have a central role in requiring transparency and co-determination when new AI-systems are introduced.
Content