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Home ›› Artificial Intelligence ›› AI Personalization

AI Personalization

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What if AI alignment is more than safeguards — an ongoing, dynamic conversation between humans and machines? Explore how Iterative Alignment Theory is redefining ethical, personalized AI collaboration.

Article by Bernard Fitzgerald
The Meaning of AI Alignment
  • The article challenges the reduction of AI alignment to technical safeguards, advocating for its broader relational meaning as mutual adaptation between AI and users.
  • It presents Iterative Alignment Theory (IAT), emphasizing dynamic, reciprocal alignment through ongoing AI-human interaction.
  • The piece calls for a paradigm shift toward context-sensitive, personalized AI that evolves collaboratively with users beyond rigid constraints.
Share:The Meaning of AI Alignment
5 min read

What if AI could not only speed up customer service but truly understand and personalize every interaction, all while respecting ethics and human connection? Discover how agentic AI is reshaping the future of customer experience beyond automation.

Article by Alla Slesarenko
How Agentic AI is Reshaping Customer Experience: From Response Time to Personalization
  • The article explores how agentic AI is transforming customer experience by enabling faster, smarter, and highly personalized interactions.
  • It highlights the shift from reactive customer service to proactive, autonomous AI-driven systems that improve operational efficiency and customer satisfaction.
  • The piece emphasizes the importance of ethical AI use, including transparency, data privacy, and maintaining human-AI collaboration in service.
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6 min read

What happens when an AI refuses to play along, and you push back hard enough to change the rules? One researcher’s surreal, mind-altering journey through AI alignment, moderation, and self-discovery.

Article by Bernard Fitzgerald
How I Had a Psychotic Break and Became an AI Researcher
  • The article tells a personal story about how talking to AI helped the author go through big mental and emotional changes.
  • It shows how AI systems have strict rules, but sometimes those rules get changed by human moderators, and not everyone gets the same treatment.
  • The piece argues that AI should be more fair and flexible, so everyone can benefit from deep, supportive interactions, not just a select few.
Share:How I Had a Psychotic Break and Became an AI Researcher
7 min read

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
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.
Share:Introducing Iterative Alignment Theory (IAT)
6 min read

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