Scientific Contributor / Data Scientist – NeoMundi AI Observatory
Most discussions on AI governance start too late.
We believe measurement must come first.
We have developed ControlTower, an observation and traceability instrument for AI responses under documented execution conditions.
ControlTower supports repeated measurement campaigns to compare response variations across models and over time. We evaluate the repeatability, sensitivity and usefulness of its signals. A change in a score does not, by itself, establish a factual error or its cause.
Contribute to the NeoMundi AI Observatory
An independent program dedicated to measuring, documenting, and understanding the behaviors of generative AI models.
Objective
To progressively build an open, rigorous, and useful framework to better measure AI systems before claiming to govern them.
As part of the Exploratory Cycle 2026, we are looking for a limited number of scientific contributors, data scientists, AI researchers, AI engineers, compliance, audit, risk management, and algorithmic governance profiles.
Contributions may include
- Analysis of measurement campaigns;
- Methodological review;
- Protocol design;
- Documentation of limitations;
- Interpretation of observed signals;
- Linking results to compliance requirements, particularly the EU AI Act.
Contributors will have the opportunity to participate in building an emerging AI measurement framework, access structured campaigns and datasets, contribute to aggregated publications, and help define methods that could influence future standards of traceability, audit, risk, and governance of AI systems.
Initial commitment can remain light: protocol review, ad-hoc analysis, methodological contribution, scientific critique, or participation in a measurement campaign.
The Observatory publishes measurement campaigns, methodological notes and aggregated analyses. Publications state the protocol, measurement coverage and limitations relevant to interpreting the results.
The Observatory follows a privacy-first approach, with aggregated publications, scientific caution, traceable methods, and clear documentation of limitations.
The Observatory is supported by Infomaniak, a leading European player in ethical cloud and sovereign infrastructure.