Top-down and Bottom-up Rulemaking around AI: From Policy to Practice
Short description
How do organisations turn AI policies into rules that people can use in everyday work? This project compares how rules are created, negotiated and established in different organisational settings. It follows the relationship between formal mandates, standards and risk controls, and the experimentation through which employees adapt AI to their work.
The research will trace rules from drafting and adoption through to daily use, examining where implementation breaks down and how organisations respond. It aims to explain how formal oversight and local adaptation can work together, and to develop practical tools such as decision-rights matrices, escalation pathways and rule templates for responsible AI use.
Interested in this project?
Postings are opening throughout autumn 2026.
The official university vacancy will be linked here as soon as it is published, with its application procedure and deadline.
Job advert coming soonYou may apply to up to four EMANAIRE doctoral projects. Submit a separate application for each position and briefly identify your other EMANAIRE applications, including any you intend to submit, in each motivation or cover letter.
What the project involves
- Compare how AI rules are created, negotiated and put into practice across organisations.
- Trace how formal policies and risk controls interact with employees’ experimentation with AI.
- Investigate where rule implementation breaks down and how organisations respond.
- Develop practical governance tools, including decision-rights matrices, escalation pathways and rule templates.