Dataset evaluation
Challenge Ensuring the quality and reliability of a dataset intended for training a large language model...
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We partner with visionary organizations to empower human-driven, responsible innovation that creates positive, lasting change.
Responsible innovation starts with shared language and better decisions. Training grounded in research and real-world practice, designed to make risk, impact, and governance understandable -and usable – across your organization.
Together, we align your AI vision with your organization’s goals, helping you prioritize use cases and navigate complex human-AI decisions. We design tailored governance – tools and processes that integrate ethics and compliance throughout the AI lifecycle.
Through our integrated methodology, we evaluate AI governance from every angle: social impact, sustainability, ethical risk, readiness, and compliance of AI projects, based on your unique context.
Our vision translates into a scalable technological solution that empowers organizations with comprehensive AI governance.
Showcasing how we translate AI strategy, governance, and ethical principles into measurable impact, aligning technology with values, regulation, and long-term sustainability.
Challenge Ensuring the quality and reliability of a dataset intended for training a large language model...
Read More →Challenge Bridging the AI cultural gap within public administration, shifting from a purely technical view to...
Read More →Challenge Building an organizational culture and AI governance model that combines regulatory rigor, ethical awareness, and...
Read More →Challenge Aligning the organization’s AI vision with its values and strategic objectives Description During a period...
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Founded by Diletta Huyskes and Luna Bianchi Immanence is shaped by people who bring not only their expertise, but also their unique perspectives, innovative ideas, and critical thinking.
In the Naturales Quaestiones, a collection of scientific reflections and short treatises on natural phenomena, Seneca...
Read More →In the functioning of contemporary generative models, and in particular Generative Adversarial Networks (GANs), the dataset...
Read More →There’s a moment I’ve seen repeat itself quite often when working with organizations that are trying...
Read More →Science Fiction and Sensationalism  Since we’ve invoked science fiction and sensationalism, it’s worth saying something about...
Read More →Designing governance processes for AI systems has become one of the defining challenges of our technological...
Read More →2025 was a year that demanded depth. It was intense, complex—often contradictory—and reminded us that artificial...
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