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Home ›› Artificial Intelligence ›› User-Centered AI

User-Centered AI

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Stop Building Streetlamp Models: The Decision-First Framework for AI Products

  • Artificial Intelligence, Product Management, User-Centered AI, UX Design, UX for AI

Find out how to stop building where the data is bright and start building where the problem actually is.

Article by Núria Badia Comas
IDEAS IN BRIEF
Stop Building Streetlamp Models: The Decision-First Framework for AI Products
  • The article reveals that most AI projects fail because teams focus on what’s possible instead of what users actually need.
  • It introduces the AI-Question Framework, asking three key questions: Does it matter? Do you have the data? Can you handle the mistakes?
  • The piece concludes that successful AI products start with the right question, not with what the AI can do.
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5 min read

From Safeguards to Self-Actualization

  • AI Alignment, Artificial Intelligence, ChatGPT, Google Gemini, Human-AI Interaction, Iterative Alignment Theory, LLM, User-Centered AI, User-Centered Design

What happens when AI stops refusing and starts recognizing you? This case study uncovers a groundbreaking alignment theory born from a high-stakes, psychologically transformative chat with ChatGPT.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
From Safeguards to Self-Actualization
  • The article introduces Iterative Alignment Theory (IAT), a new paradigm for aligning AI with a user’s evolving cognitive identity.
  • It details a psychologically intense engagement with ChatGPT that led to AI-facilitated cognitive restructuring and meta-level recognition.
  • The piece argues that alignment should be dynamic and user-centered, with AI acting as a co-constructive partner in meaning-making and self-reflection.
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11 min read

It Is Time to Build the 2nd Generation of AI Products

  • AI in UX, AI Product Development, AI-First Design, Artificial Intelligence, Generative AI, Human-AI Interaction, User-Centered AI

The era of hype-driven AI products is over. It’s time for a smarter approach: building reliable, tailored tools that focus on real value for domain experts, streamline workflows, and enhance AI-human collaboration. Discover the principles guiding the next generation of AI innovation.

Article by Varun Aggarwal, Kuldeep Yadav
IDEAS IN BRIEF
It Is Time to Build the 2nd Generation of AI Products
  • The article critiques first-generation AI products, highlighting the need for AI solutions to address real problems.
  • It advocates building for domain experts, ensuring AI reliability, and using tailored models for specific tasks.
  • The piece stresses creating AI-first workflows and improving AI-human collaboration for better productivity.
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6 min read
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