GAIALAB systemically safe AI

Projects

General-purpose technology, applied in critical sectors.

Energy, finance, nature, cities, and manufacturing.

01 / Strategic decision-making

The GAIA Tech Tree

A neurosymbolic AI framework for strategic technological decision-making — a living sim of nuclear energy’s open problems, indexed to actual research. Built with Universität Stuttgart and FuseNet.

02 / AI Safety

SPAR 2024 cohort

AI Safety from First Principles

Investigating Free-Energy based risk metrics with agentic AI.

arXiv preprint

03 / Nuclear

Alisa34 · from 02/2025

AI Safety for Nuclear Decommissioning

The goal of this project1 is to create modern AI tools based on SOTA machine learning and neurosymbolic AI with the goal of understanding regulatory mechanisms and automizing review processes. While the ML components will handle the complex processes, the neurosymbolic approaches will create whitebox mechanisms making all AI components auditable, interpretable and transparent.

1This project has been approved and is being funded by the BMBF for approx. 2.1M€ over the course of three years. Project start is 02/2025.

04 / Energy transition

KIKO · from 03/2025

Collective Intelligence for Energy Transition

The aim of this project2 is to create an AI-supported Collective Intelligence platform to support onboarding processes within organizations through machine learning components. Virtual personas replicating human tutors will be supporting learning processes backed by neuroscientific laboratory experiments verifying our novel ML algorithms.

2This project has been approved and is being funded by the BMBF for approx. 2M€ over the course of three years. Project start is 03/2025.