Understand
Shed light on the technological, social and environmental issues related to AI and innovation, drawing on scientific literature and trustworthy information sources.
Why Scinuance?
Behind Scinuance lies the conviction that innovation is neither just about technology nor about “buzz”, but that it is built over time, in contact with real uses, professions and field experience.
Artificial intelligence opens up huge possibilities, but it also raises questions about jobs, skills, work organization, security and public debate. Scinuance supports organizations in turning it into a useful lever rather than a source of anxiety or oversimplification.
Three pillars to support your transformation
Decide
Balance ambition, risks and experimentation to guide strategic choices, define priorities and structure concrete approaches.
Act
Design diagnostics, workshops, training programmes and operational support to move from reflection to implementation, at your own pace.
Scinuance’s objectives
Contribute to a positive and responsible development of artificial intelligence, strengthen scientific literacy and foster informed critical thinking.
Accessible & responsible AI
Make artificial intelligence accessible to everyone, while keeping in mind potential drifts and associated responsibilities.
Help understand the impacts of AI on jobs, skill evolution, organizations, as well as security and confidentiality issues.
Spreading scientific knowledge
Highlight the knowledge that made AI possible (mathematics, computer science, philosophy of science…) and share it across other key domains: sustainable development, gender equality, ecological transition, and more.
Recognizing the limits of science
Emphasize that science neither knows nor can do everything: dark matter and dark energy, origin of life, consciousness… So many open questions that call for nuance rather than dogmatism.
Critical thinking vs. conspiracy theories
Promote informed critical thinking, far from conspiracy thinking. By relying on knowledge and rational debate, it is possible to deconstruct misleading narratives (chemtrails, misinformation around vaccines, climate change denial, etc.).
Using AI well
Encourage a reasoned use of AI: not trusting it blindly, checking sources, favouring content reviewed or moderated by a community, and using AI to summarise, explain and clarify sometimes complex information.
Science + nuance + action
Make Scinuance – a contraction of “Science” and “Nuance” – a hands-on partner for companies and organizations: training, support, consulting missions and practical workshops to move into action around AI and innovation.
How does this support become concrete?
Depending on your challenges, teams and context, Scinuance’s interventions can take different forms. The idea: start from reality, experiment on a small scale and document what is learned along the way.
Diagnostics & scoping
Understand your situation, constraints and objectives, and identify the most relevant levers around AI and innovation.
Consulting & support
Targeted missions to build realistic trajectories, roadmaps or experimentation frameworks.
Training & workshops
Interactive sessions, exploratory workshops and hands-on exercises to develop skills and foster ownership within teams.
About Jean-Louis Liévin
Scinuance is led by Jean-Louis Liévin, former industrial research director, innovation consultant and trainer, working at the crossroads of technological, human and organizational issues.
His ambition: make science and AI intelligible and useful for decision-makers, operational teams and citizens, without oversimplifying them or turning them into unrealistic promises.
Learn more about his background: Jean-Louis Liévin’s LinkedIn profile