All episodes

In this episode, we explore Exidion’s innovative approach to AI safety through a “living university” model that embeds ethical foundations, expert faculties, and rigorous governance throughout AI development. Learn about key concepts including mixture of experts (MoE), retrieval-augmented generation (RAG), psychometric alignment, and how this framework addresses motivation drift, bias amplification, and explainability challenges. Ideal listening for anyone interested in modular AI systems and responsible, trustworthy AI.

AI is becoming the invisible operating system of society. But efficiency without ethics turns humans into a bug in the system.

In this episode, Christina Hoffmann introduces the idea of the Ethical Human AI Firewall: an architecture that embeds psychology, maturity, and cultural context into AI’s core logic.

Not as an add-on, but as a conscience inside every decision.

Legacy alignment can only imitate care. Exidion AI changes the objective itself. We embed development, values, context and culture into learning so AI becomes truly supportive of human growth.

We explain why the old path fails, what Hinton’s “maternal instincts” really imply as an architectural principle, and how Exidion delivers impact now with a steering layer while building a native core with psychological DNA.

Scientific stack: developmental psychology, personality and motivation, organizational and social psychology, cultural anthropology, epistemics and neuroscience. Europe will not win AI by copying yesterday. We are building different.

We are building a psychological operating system for AI and for leaders. In this episode Christina outlines why every real AI failure is also a human systems failure and how Exidion turns psychology into design rules, evaluation, red teaming and governance that leaders can actually use.

Clear goals. Evidence under conflict. Audits that translate to action. A path to safer systems while the concrete is still wet.

AI can sound deeply empathetic, but style is not maturity.

This episode unpacks why confusing empathy with wisdom is dangerous in high-stakes contexts like healthcare, policing, or mental health. From NEDA’s chatbot failure to biased hospital algorithms, we explore what real agency in AI means: boundaries, responsibility, and accountability.

If you want to understand why quick fixes and empathy cues are not enough — and how to build AI that truly serves human safety and dignity — this is for you.

A raw field report on choosing truth over applause and why “agency by design” must sit above data, models and policies.

AI proposes. Humans decide.

AI has no world-model of responsibility. If we don’t lead it, no one will.

In this opener, Christina shares the moment she stopped trading integrity for applause and lays out v1: measurement & evaluation, human-in-the-loop instrumentation, a developmental layer prototype, and a public audit trail.

In this episode of Agentic – Ethical AI Leadership and Human Wisdom, we dismantle one of the biggest myths in AI safety: that alignment alone will protect us from the risks of AGI.

Drawing on the warnings of Geoffrey Hinton, real-world cases like the Dutch Childcare Benefits Scandal and Predictive Policing in the UK, and current AI safety research, we explore:

Why AI alignment is a fragile construct prone to bias transfer, loopholes, and a false sense of security

How “epistemic blindness” has already caused real harm – and will escalate with AGI

Why ethics must be embedded directly into...

What happens when performance outpaces wisdom?

This episode explores why psychological maturity – not more code – is the key to building AI we can actually trust. From systemic bias and trauma-blind scoring to the real risks of Europe falling behind, this isn’t a theoretical debate. It’s the defining choice of our time.

Listen in to learn:

why we’re coding Conscious AI as an operating system,
what role ego-development plays in AI governance,
and who we’re looking for to help us build it.

If you’re a tech visionary, values-driven investor, or founder with real stamina:
this is your call.

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hat if the future of AI isn’t just about intelligence, but inner maturity?

In this powerful episode of Agentic AI, Christina Hoffmann challenges the current narrative around AGI and digital transformation. While tech leaders race toward superintelligence, they ignore a critical truth:

A mind without emotional maturity is not safe, no matter how intelligent.

We dive into:

🧠 Why 70–85% of digital and AI initiatives are already failing, and why more data, more tech, and more automation won’t solve this

🧭 The psychological blind spots in corporate leadership that make AI dangerous — not because of malice, but immaturity

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Explores how leaders must evolve beyond traditional practices to ethically guide AI development and ensure humanity's positive future alongside superintelligent systems.

Explores why outdated leadership models pose an existential risk in the age of AGI and how radical honesty, long-term thinking, and inner maturity form the only real path forward for guiding superintelligence.