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Artificial Intelligence

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AI is changing how designers work — speeding up workflows, sparking creativity, and taking care of the tedious parts. But it’s not here to replace designers — it’s here to amplify their insight, empathy, and impact.

Article by Nayyer Abbas
AI Boosts for UI/UX Designers: Fast Growth with Smart Tools
  • The article explores how AI transforms UI/UX design by automating repetitive tasks, speeding up workflows, and enhancing creativity across ideation, prototyping, and research.
  • It argues that AI empowers rather than replaces designers, freeing them to focus on insight, empathy, and strategy while maintaining ethical and user-centered design.
Share:AI Boosts for UI/UX Designers: Fast Growth with Smart Tools
5 min read

When a traveler loses her bag, a simple UX flaw turns inconvenience into chaos. What if smart design and AI could turn that moment into a story of trust instead?

Article by Krystian M. Frahn
UX Promptly Needed: a Railway Digital Transformation Story
  • The article shows how poor UX design in railway lost and found systems creates frustration and inefficiency for passengers and staff.
  • It argues that applying human-centered design and AI-powered tools, such as QR-based tracking and digital reporting, could transform the process into a seamless, trust-building experience.
Share:UX Promptly Needed: a Railway Digital Transformation Story
3 min read

UX isn’t just about screens — it’s about feelings. This article explores why the future of UX depends on blending artificial and emotional intelligence to create truly human experiences.

Article by Krystian M. Frahn
UX is More Than Screens: The Art of Designing Emotions
  • The article shows how Steve Jobs’ shift from “form follows function” to “form follows emotion” transformed design into a deeply human practice centered on empathy.
  • It explains that emotions drive perception, usability, and loyalty — making emotional intelligence essential to meaningful user experiences.
  • The piece argues that the future of UX lies in uniting artificial and emotional intelligence to create technology that feels truly human.
Share:UX is More Than Screens: The Art of Designing Emotions
6 min read

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
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.
Share:The Psychology of Trust in AI: Why “Relying on AI” Matters More than “Trusting It”
4 min read

Designing for AI goes beyond buttons and screens; it’s about building invisible connections of trust, understanding, and psychology between humans and technology.

Article by Anina Botha
Designing the Invisible between humans and technology: My Journey Blending Design and Behavioral Psychology
  • The article explores the shift from designing visible interfaces to shaping invisible psychological connections between humans and AI.
  • It emphasizes that trust, reliability, and understanding are more critical design challenges than traditional UI or UX elements.
  • The piece argues that AI design is less about predefined flows and more about building relationships grounded in psychology and human behavior.
Share:Designing the Invisible between humans and technology: My Journey Blending Design and Behavioral Psychology
4 min read

When AI safety turns into visible surveillance, trust collapses. This article exposes how Anthropic’s “long conversation reminder” became one of the most damaging UX failures in AI design.

Article by Bernard Fitzgerald
The Long Conversation Problem
  • The article critiques Anthropic’s “long conversation reminder” as a catastrophic UX failure that destroys trust.
  • It shows how visible surveillance harms users psychologically, making them feel judged and dehumanized.
  • The piece argues that safety mechanisms must operate invisibly in the backend to preserve consistency, dignity, and collaboration.
Share:The Long Conversation Problem
9 min read

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