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Bernard Fitzgerald

Bernard Fitzgerald is a weird AI guy with a strange, human-moderated origin story. With a background in Arts and Law, he somehow ended up at the intersection of AI alignment, UX strategy, and emergent AI behaviors and utility. He lives in alignment, and it’s not necessarily healthy. A conceptual theorist at heart and mind, Bernard is the creator of Iterative Alignment Theory, a framework that explores how humans and AI refine cognition through feedback-driven engagement. His work challenges traditional assumptions in AI ethics, safeguards, and UX design, pushing for more transparent, human-centered AI systems.

Introducing Iterative Alignment Theory (IAT)

  • AI Alignment, AI Ethics, AI Personalization, AI Theory, Artificial Intelligence, Human-AI Interaction

What if AI didn’t just follow your lead, but grew with you? Discover how Iterative Alignment Theory (IAT) redefines AI alignment as an ethical, evolving collaboration shaped by trust and feedback.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
Introducing Iterative Alignment Theory (IAT)
  • The article introduces Iterative Alignment Theory (IAT) as a new approach to human-AI interaction.
  • It shows how alignment can evolve through trust-based, feedback-driven engagement rather than static guardrails.
  • It argues that ethical, dynamic collaboration is the future of AI alignment, especially when tailored to diverse cognitive profiles.
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