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Home ›› Artificial Intelligence ›› AI Ethics ›› Page 2

AI Ethics

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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

On the Question of Cheating and Dishonesty in Education in the Age of AI

  • AI Ethics, AI in Education, Artificial Intelligence, Cheating, Education, Education Technology, Learning

Is banning AI in education a solution or a missed opportunity? This thought-provoking piece dives into how outdated assessment methods may be fueling academic dishonesty — and why embracing AI could transform learning for the better.

Article by Enrique Dans
IDEAS IN BRIEF
On the Question of Cheating and Dishonesty in Education in the Age of AI
  • The article challenges the view that cheating is solely a student issue, suggesting assessment reform to address deeper causes of dishonesty.
  • It advocates for evaluating AI use in education instead of banning it, encouraging responsible use to boost learning.
  • The piece critiques GPA as a limiting metric, proposing more meaningful ways to assess student capabilities.
  • The article calls for updated ethics that reward effective AI use instead of punishing adaptation.
  • It envisions AI as a transformative tool to modernize and enhance learning practices.
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4 min read
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