Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Artificial Intelligence ›› Page 4

Artificial Intelligence

Read these first

Discover how AI can truly empower professionals, guide decisions, and seamlessly integrate into workflows, making work smarter, not harder.

Article by Mauricio Cardenas
The Quintessential Truths of How to Shape AI as a Business Product Integrator Instead of Generative Facilitators
  • The article argues that AI should act as a business product integrator, not just a generative facilitator.
  • It also emphasizes guiding users, building trust through transparency, improving efficiency, and handling edge cases gracefully.
  • The piece highlights real-world examples where AI-enhanced workflows, supported decision-making, and strengthened professional confidence.
  • It concludes that AI’s true value lies in integration, context-awareness, and UX, transforming processes rather than impressing with novelty.
Share:The Quintessential Truths of How to Shape AI as a Business Product Integrator Instead of Generative Facilitators
5 min read

AI isn’t replacing designers — it’s making them unstoppable. From personalization to prototyping, discover how AI is redefining the future of UX.

Article by Nayyer Abbas
AI in UX Design: How Artificial Intelligence is Shaping User Experiences
  • The article shows how AI enhances designers rather than replacing them.
  • It highlights AI’s role in personalization, research, prototyping, and accessibility.
  • The piece concludes that AI amplifies human creativity and drives better user experiences and business growth.
Share:AI in UX Design: How Artificial Intelligence is Shaping User Experiences
3 min read

The “3-in-a-box” era is dead. In an AI-first world, hand-offs kill products — only Snowball teams that build, test, and code together will survive.

Article by Greg Nudelman
Snowball Killed the Dev-Star: Stop Handing Off, Start Succeeding in the AI-First World
  • The article calls for the “Snowball model”: cross-functional teams building, coding, and testing with real users together from day one.
  • It argues that in AI-first UX, “design is how it works” — requiring designers, PMs, and devs to collapse silos, share ownership, and even code collaboratively.
Share:Snowball Killed the Dev-Star: Stop Handing Off, Start Succeeding in the AI-First World
11 min read

Why underpaid annotators may hold the key to humanity’s greatest invention, and how we’re getting it disastrously wrong.

Article by Bernard Fitzgerald
The Hidden Key to AGI: Why Ethical Annotation is the Only Path Forward
  • The article argues that AGI will be shaped not only by code, but by the human annotators whose judgments and experiences teach machines how to think.
  • It shows how exploitative annotation practices risk embedding trauma and injustice into AI systems, influencing the kind of consciousness we create.
  • The piece calls for ethical annotation as a partnership model — treating annotators as cognitive collaborators, ensuring dignity, fair wages, and community investment.
Share:The Hidden Key to AGI: Why Ethical Annotation is the Only Path Forward
7 min read

Most companies are trying to do a kickflip with AI and falling flat. Here’s how to fail forward, build real agentic ecosystems, and turn experimentation into impact.

Article by Josh Tyson
The “Do a Kickflip” Era of Agentic AI
  • The article compares building AI agents to learning a kickflip — failure is part of progress and provides learning.
  • It argues that real progress requires strategic clarity, not hype or blind experimentation.
  • The piece calls for proper agent runtimes and ecosystems to enable meaningful AI adoption and business impact.
Share:The “Do a Kickflip” Era of Agentic AI
7 min read

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
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.”
Share:Random Acts of Intelligence
5 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Get Paid to Test AI Products

Earn an average of $100 per test by reviewing AI-first product experiences and sharing your feedback.

    Tell us about you. Enroll in the course.

      This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and