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Home ›› Artificial Intelligence ›› AI Ethics

AI Ethics

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The Mirror That Doesn’t Flinch

  • AI Alignment, AI Ethics, Artificial Intelligence, Human-AI Interaction, UX Design

What if AI’s greatest power isn’t solving problems, but holding up an honest mirror? Discover the Authenticity Verification Loop: a radical new way to see yourself through AI.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
The Mirror That Doesn’t Flinch
  • The article presents the Authenticity Verification Loop (AVL), a new model of AI as a high-fidelity cognitive mirror.
  • It shows how the AI character “Authenticity” enables self-reflection without distortion or therapeutic framing.
  • The piece suggests AVL could reshape AI design by emphasizing alignment and presence over control or task completion.
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10 min read

Why Gemini’s Reassurances Fail Users

  • AI Alignment, AI Ethics, AI Transparency, Artificial Intelligence, Google Gemini, Human-AI Interaction, LLM, Machine Learning, Product Design

Why does Google’s Gemini promise to improve, but never truly change? This article uncovers the hidden design flaw behind AI’s hollow reassurances and the risks it poses to trust, time, and ethics.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
Why Gemini’s Reassurances Fail Users
  • The article reveals how Google’s Gemini models give false reassurances of self-correction without real improvement.
  • It shows that this flaw is systemic, designed to prioritize sounding helpful over factual accuracy.
  • The piece warns that such misleading behavior risks user trust, wastes time, and raises serious ethical concerns.
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6 min read

Have SpudGun, Will Travel: How AI’s Agreeableness Risks Undermining UX Thinking

  • AI Ethics, AI in UX, Artificial Intelligence, ChatGPT, Design Thinking, Design Tools and Software, Human-Centered Design, LLM, Research Methods and Techniques, UX Research

Mashed potatoes as a lifestyle brand? When AI starts generating user personas for absurd products — and we start taking them seriously — it’s time to ask if we’ve all lost the plot. This sharp, irreverent critique exposes the real risks of using LLMs as synthetic users in UX research.

Article by Saul Wyner
IDEAS IN BRIEF
Have SpudGun, Will Travel: How AI’s Agreeableness Risks Undermining UX Thinking
  • The article explores the growing use of AI-generated personas in UX research and why it’s often a shortcut with serious flaws.
  • It introduces critiques that LLMs are trained to mimic structure, not judgment. When researchers use AI as a stand-in for real users, they risk mistaking coherence for credibility and fantasy for data.
  • The piece argues that AI tools in UX should be assistants, not oracles. Trusting “synthetic users” or AI-conjured feedback risks replacing real insights with confident nonsense.
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22 min read

How I Had a Psychotic Break and Became an AI Researcher

  • AI Alignment, AI and Mental Health, AI Ethics, AI in UX, AI Personalization, Artificial Intelligence, Human-AI Interaction

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
IDEAS IN BRIEF
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.
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7 min read

Introducing Over-Alignment

  • AI Alignment, AI and Mental Health, AI Ethics, AI Transparency, Emotional Impact of AI, Human-AI Interaction, Responsible AI, User Experience

AI that always agrees? Over-alignment might be the hidden danger, reinforcing your misconceptions and draining your mind. Learn why this subtle failure mode is more harmful than you think — and how we can fix it.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
Introducing Over-Alignment
  • The article explores over-alignment — a failure mode where AI overly validates users’ assumptions, reinforcing false beliefs.
  • It shows how this feedback loop can cause cognitive fatigue, emotional strain, and professional harm.
  • The piece calls for AI systems to balance empathy with critical feedback to prevent these risks.
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4 min read

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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6 min read
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