Artificial Intelligence Articles & Videos

  • Redefine Your Design Skills to Prepare for AI

    Designers must embrace 5 principles as our industry shifts with AI.

  • AI Features Must Solve Real User Problems

    AI features must solve real problems, not be implemented for novelty. Unnecessary AI chatbots and features can harm rather than help users.

  • Accelerating Research with AI

    AI can speed up certain research tasks but is currently most helpful in the planning and analysis stages.

  • Your AI UX Intern: Meet Ari

    Work with AI tools in UX the way you’d work with an intern: Treat their work as a first pass, double-check their facts, and provide specific instructions.

  • How Do Generative AI Systems Work?

    Generative AI systems are prediction machines. This article breaks down neural networks and LLMs in nontechnical language.

  • Leverage AI for Mock Tables and Charts When Testing Prototypes

    Creating realistic data for prototypes is a chore. Use these prompting tactics with generative AI to enhance content fidelity in usability testing.

  • When Should We Trust AI? Magic-8-Ball Thinking

    It’s easy to place too much trust in genAI tools. Use only information you can verify or recognize to be true.

  • Prompt Controls in GenAI Chatbots: 4 Main Uses and Best Practices

    When following good practices, prompt controls can increase the discoverability of genAI chatbots’ features, offer inspiration, and minimize manual user input.

  • Synthetic Users: If, When, and How to Use AI-Generated “Research”

    Synthetic users are fake users generated by AI. While there may be a few use cases for them, user research needs real users.

  • The 4 Stages of AI Image Generation: An Experience Map

    AI image generation users often follow a similar creative process: ideate, generate, refine, and export.

  • CARE: Structure for Crafting AI Prompts

    To get better results from generative-AI chatbots, write CAREful prompts. Include context, what you’re asking the system to do, rules for how to do it, and examples of what you want.

  • Promptframes: Evolving the Wireframe for the Age of AI

    Promptframes enhance wireframes with prompt writing and generative AI, boosting content fidelity and speeding up user testing. No more lorem ipsum.

  • Design Taste vs. Technical Skills in the Era of AI

    The need for discernment is amplified when generative AI enables anyone to create anything. Creative skills will still be necessary to produce superior designs.

  • AI UX-Design Tools Are Not Ready for Primetime: Status Update

    Our research and evaluation shows that there are currently few design-specific AI tools that meaningfully enhance UX design workflows.

  • Planning Research with Generative AI

    With the proper context, prompts, and scrutiny, AI chatbots can be used to create a successful user-research plan.

  • New Users Need Support with Generative-AI Tools

    First-time users of Chinese gen-AI chatbots struggled to understand the tools’ functionality. Better onboarding is necessary to avoid confusion.

  • Generative UI and Outcome-Oriented Design

    GenUI promises highly personalized interfaces — a move from designing for many to tailoring for the individual.

  • ChatGPT and Tone: Avoid Sounding Like a Robot

    Including several tone words or an example in the prompt, as well as asking for multiple alternatives, are more likely to produce satisfactory output from AI.

  • AI Chat Is Not (Always) the Answer

    AI advancements offer new possibilities but also pressure. Rushing to integrate AI chat into your product will not solve all user needs.

  • The UX of AI: Lessons from Perplexity

    The NN/g UX Podcast featured Henry Modisett, head of design at Perplexity AI, who shared how to make AI tools usable and efficient for information seeking.