Agentic - Ethical AI Leadership and Human Wisdom

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...