How trust, motivation, participation and perceived fairness change with AI at work.
- HR agents meet human judgment
- Productivity as room to develop
- Who owns the agent and the employee information?
- AI on both sides of hiring
- People decisions need transparency and owners
- Agents doing the work need human owners
- Investment in hiring and demonstrable capability
- Social dialogue on AI: skills, influence and working conditions
- AI and the working environment: follow up the relief
- Better performance can coexist with greater work intensity
- Time saved does not automatically become more output
- Recognise learning as part of the job
- Invisible work and the right to challenge AI
- Training is spreading. Operational readiness is uneven.
- Sjöbo: include candidate experience in the recruitment workflow
- Tjörn: read the benefit calculation and the changed working practice
- Workforce change: separate the employer's statement from an AI explanation
- Arvika gives staff different rules for public and municipal AI tools
- An HR assistant needs reliable sources and a human fallback