Rooted in Science
A Scientific Advisory Board to challenge and strengthen our choices
Behavioral AI designed with rigor, built for trust, and fully controlled by humans
At Stern Tech, we develop behavioral AI grounded in science, transparency, and ethics to help professionals make better-informed decisions while keeping humans at the heart of the process.
By design, our systems are decision-support tools.
They produce probabilistic and informational outputs, make no autonomous decisions, and do not replace human judgment, expertise, or user responsibility.
Where artificial intelligence meets cognitive science
At Stern Tech, “behavioral AI” is not a marketing claim: it is a scientific position.
Understanding human behavior requires far more than simple pattern detection. It requires rigor, context, and an interdisciplinary approach. Our technologies are developed at the intersection of artificial intelligence and cognitive science, relying on established scientific frameworks to analyze behavioral signals in a contextual, probabilistic, and explainable way.
Our scientific foundations include:
Mathematics and statistics
measurement, modeling, uncertainty management
Computer science and algorithms
robustness, reproducibility, clarity, performance
Sociology
social context, norms, group dynamics, social signals
Psychology
cognition, affect, decision-making processes
Neuroscience
perception-action loops and sensorimotor foundations
Linguistics
language as behavior: meaning, pragmatics, interaction
This interdisciplinary approach enables us to move beyond opaque predictions and build AI that helps understand, contextualize, and support human judgment without producing automatic verdicts about individuals.
A scientific foundation strengthened by academic partnerships
Stern Tech maintains long-term research collaborations with leading public academic and research institutions, including the CNRS, Sorbonne University, ENS Paris-Saclay, the Centre Borelli, and the Institut Carnot Cognition.
Our research partnerships are based on formalized agreements that ensure rigorous methodology, robust evaluation protocols, and a scientifically grounded approach.
Academic partnerships strengthen our scientific approach, while regulatory compliance remains independently managed by Stern Tech and its clients.
Why scientific grounding is a competitive advantage in AI
While many companies claim to be research-based, genuine long-term academic collaborations remain rare.
For AI designed to support human decision-making, scientific rigor is not optional: it is essential to ensure reliability, transparency, and trust.
A Scientific Advisory Board to challenge and strengthen our choices
Stern Tech relies on a multidisciplinary Scientific Advisory Board that supports the development of its technologies, challenges its methodologies, and helps strengthen their scientific robustness.
Pierre-Paul Vidal
(Centre Borelli) Behavioral quantification and sensorimotor research
Pierre-Paul Vidal is a CNRS Research Director at the Centre Borelli. His research focuses on the quantification of movement and human behavior, both normal and pathological, using non-invasive protocols. His work applies to fields ranging from sports training and military training to patient monitoring.
Lise Haddouk
(Centre Borelli) Telepsychology, emotion, and multimodal assessment
Lise Haddouk is a clinical psychologist, Doctor of Psychology, and Associate Professor with HDR in Psychology. She is a member of the Centre Borelli UMR 9010. Her work focuses in particular on telepsychology, remote psychological practices, cyberpsychology, telepresence, intersubjectivity, and the evaluation of emotional expression in face-to-face or video-based settings.
Christophe Labourdette
(Centre Borelli) Mathematics and algorithmic methods
Christophe Labourdette is Technical Director of the Centre Borelli and an IR-CNRS engineer. His profile brings an operational and scientific computing perspective to the transition from research to technology, with a focus on technical rigor, computational methods, reproducibility, and the robust implementation of research tools.
Agnès Kubiak
(Consult-Trends) Trend detection, design strategy, and changes in user behavior
Agnès Kubiak works on trend research and design strategy, translating macro-societal changes into concrete directions for products and services. Founder of Style-Vision, she later developed Consult-Trends, with particular attention to consumer dynamics.
Eric Bellamy
Computer science and systems engineering
Eric Bellamy brings expertise in computer science, focused on the engineering discipline required to operationalize research: system robustness and algorithmic clarity.
Important clarification: the Scientific Advisory Board provides scientific and methodological insight. It is neither a legal or regulatory certification body nor an institutional validation binding the organizations with which members may be affiliated.
Responsible AI by design: transparent, compliant, and human-controlled
Stern Tech solutions are developed and deployed according to a responsible AI framework aligned with European expectations:
- Decision-support tools controlled by humans
- No automated or autonomous decisions produced by the systems
- Priority given to explainability, transparency, and documented evaluation
- When personal data is processed: compliance with GDPR principles, including purpose limitation, implementation of appropriate safeguards, and respect for individuals’ rights
- Governance aligned with the risk-based approach of the EU AI Act, including documentation, oversight, and accountability requirements where applicable
This framework does not limit innovation: it forms its foundation, enabling the development of credible, responsible, and sustainable behavioral AI.
