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Home ›› Artificial Intelligence ›› AI in UX

AI in UX

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The Psychology of Trust in AI: Why “Relying on AI” Matters More than “Trusting It”

  • AI in UX, Artificial Intelligence, Cognition, Human-AI Interaction, Human-Centered Design, Psychology, Psychology and Human Behavior, User Research, UX Design

Trusting AI isn’t the goal — relying on it is. This article explores why human trust and AI reliance are worlds apart, and what UX designers should focus on to make AI feel dependable, not human.

Article by Verena Seibert-Giller
IDEAS IN BRIEF
The Psychology of Trust in AI: Why “Relying on AI” Matters More than “Trusting It”
  • The article argues that “reliance,” not “trust,” is the right way to think about users’ relationship with AI.
  • It explains that human trust and AI reliance are driven by different psychological mechanisms.
  • The piece highlights that predictability, transparency, and control make users more willing to rely on AI.
  • It concludes that users don’t need to trust AI as a partner — only rely on it as a dependable tool.
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4 min read

Random Acts of Intelligence

  • AGI, AI in UX, AI Orchestration, AI Strategy, Artificial Intelligence, Conversational AI, Digital Transformation, Human-Centered Design, Organizational AI

AI’s promise isn’t about more tools — it’s about orchestrating them with purpose. This article shows why random experiments fail, and how systematic design can turn chaos into ‘Organizational AGI.’

Article by Yves Binda
IDEAS IN BRIEF
Random Acts of Intelligence
  • The article critiques the “hammer mentality” of using AI without a clear purpose.
  • It argues that real progress lies in orchestrating existing AI patterns, not chasing new tools.
  • The piece warns that communication complexity — the modern Tower of Babel — is AI’s biggest challenge.
  • It calls for outcome-driven, ethical design to move from random acts to “Organizational AGI.”
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5 min read

The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters

  • AI in UX, Artificial Intelligence, Design Tools and Software, Design Trends, Design Workflow, Human-AI Collaboration, Product Design, UX Design, UX Strategy

How is AI really changing the way designers work, and what still depends on human skill? This honest take cuts through the hype to show where AI helps, where it falls short, and what great design still demands.

Article by Oleh Osadchyi
IDEAS IN BRIEF
The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters
  • The article explores how AI is reshaping designers’ workflows, offering speed and support across research, implementation, and testing.
  • It argues that while AI is useful, it lacks depth and context — making human judgment, critical thinking, and user insight indispensable.
  • It emphasizes that core design principles remain unchanged, and designers must learn to integrate AI without losing their craft.
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9 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

Hopeful Futures for UX Research

  • AI in UX, Career Development, Research Democratization, UX Research, UX Strategy

As UX research shifts and reshapes, how can researchers stay ahead? This article explores the changing landscape and how to thrive in it.

Article by James Lang
IDEAS IN BRIEF
Hopeful Futures for UX Research
  • The article explores how UX research is evolving, with roles shifting and adjacent skills like creativity and knowledge management becoming more important.
  • It looks at how non-researchers are doing more research work, and how this trend challenges traditional UX research careers.
  • The piece argues that researchers can stay relevant by adapting, staying curious, and finding new ways to share their value.
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16 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
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