ROOTED IN SCIENCE
Find our Scientific Advisory Board here
Behavioral AI designed for trust, rigor, and human oversight
At Stern Tech, we believe AI creates value in human decision-support only when it is scientifically grounded, transparent, and responsibly governed. Our Behavioral AI is built to help professionals interpret behavioral patterns through contextual, explainable insights—while ensuring the final authority always remains with people.
By design, our systems are decision-support tools. They provide probabilistic and informational outputs, do not perform autonomous decision-making, and do not replace human judgment, expertise, or responsibility.
Where AI Meets Cognitive Science
“Behavioral AI” at Stern Tech is not a label—it is a research-driven approach informed by the cognitive sciences. Human behavior is complex and context-dependent; responsible analysis requires interdisciplinary rigor and careful treatment of uncertainty.
Our scientific foundations combine:
Mathematics & Statistics
measurement, modeling, uncertainty, calibration
Computer Science & Algorithmics
robustness, reproducibility, clarity, performance
Sociology
context, norms, group dynamics, social signals
Psychology
cognition, affect, decision processes
Neuroscience
perception–action loops, sensorimotor foundations
Linguistics
meaning, pragmatics, interaction as behavior
This blend supports AI that helps professionals understand and contextualize information, rather than generating opaque “verdicts” about people.
Scientifically Anchored Through Academic Research Partnerships
Stern Tech maintains long-term research collaborations with leading public research and academic institutions, including CNRS, Sorbonne Université, ENS Paris-Saclay, Centre Borelli, and Institut Carnot Cognition.
Where applicable, collaborations are formalized through documented research agreements defining scope, governance, shared objectives, and evaluation methods. These partnerships reinforce methodological discipline, research-grade evaluation practices, and scientific credibility.
Importantly, academic collaboration strengthens scientific rigor—but it does not substitute for regulatory compliance obligations, which remain independently governed by Stern Tech and its deployers.
Why Scientific Grounding Matters in the AI Market
Many vendors claim to be “research-based.” Sustained and structured university–industry collaboration is far less common, because it requires alignment across governance, evaluation standards, timelines, and incentives.
For AI intended to support decisions about humans, scientific anchoring is not a branding choice—it is a prerequisite for validity, explainability, and long-term trust.
Our Scientific Advisory Board
To maintain rigorous methods over time, Stern Tech is supported by a Scientific Advisory Board spanning behavioral quantification, telepsychology, trend analysis, and computer science. The Board challenges assumptions, reviews methodological orientations, and strengthens our scientific roadmap.
Pierre-Paul Vidal
(Centre Borelli) Behavioral Quantification & Sensorimotor Research
Pierre-Paul Vidal’s work focuses on monitoring and quantifying behavior using non-invasive or minimally invasive measurement approaches, enabling real-time observation and longitudinal follow-up, with an emphasis on sensorimotor and cognitive dimensions.
Lise Haddouk
(Centre Borelli) Telepsychology, Emotion & Multimodal Evaluation
Lise Haddouk’s research addresses telepsychology and remote practices, including the evaluation of telepresence and intersubjectivity, as well as the quantification of emotional expressions in in-person and video consultations through a multimodal approach and prevention-oriented evaluation.
Christophe Labourdette
(Centre Borelli) Mathematics & Algorithmic methods
With a long-standing background in algorithmic methods and parallel computing—including doctoral work on segmentation algorithms, Markov models, and parallelism—Christophe Labourdette brings strong scientific-computing rigor to the operational side of research and technology development
Agnès Kubiak
(Consult-Trends) Trend Detection, Design Strategy & Consumer Shifts
Agnès Kubiak works on trend research and design strategy, translating macro-shifts into actionable directions for products and services. She founded Style-Vision and later developed Consult-Trends, with a strong focus on consumer evolution dynamics.
Eric Bellamy
Computer Science
Eric Bellamy contributes a computer science perspective focused on the engineering discipline required to operationalize research—robust systems and algorithmic clarity.
Advisory role clarification: The Scientific Advisory Board provides scientific guidance and methodological challenge. It does not serve as a legal or regulatory certification body, and it does not constitute an official endorsement by affiliated institutions.
Responsible AI by Design: Transparency, Compliance, and Human Oversight
Stern Tech develops and deploys its solutions under a responsible AI framework consistent with European expectations:
- Decision-support only, with human oversight by design
- No autonomous or automated decisions generated by the system
- Emphasis on explainability, transparency, and documented evaluation
- Where personal data is processed: alignment with GDPR principles, including purpose limitation, safeguards, and respect for data subject rights
- Governance aligned with the EU AI Act’s risk-based approach, including appropriate documentation and oversight mechanisms where applicable
This is how we build Behavioral AI that is not only advanced—but also credible, accountable, and sustainable.
