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Designing AI Experiences

via Nielsen Norman Group

Overview

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AI-enabled features and products are increasingly common priorities for organizations. Learn to design effective interfaces and interactions for AI technology. Gain practical skills to implement AI features that users understand and trust, and ensure you can articulate design decisions in AI development conversations.

Syllabus

What you will learn

Design AI interactions that solve real user problems

  • Identify the user needs and pain points that AI features should address
  • Translate stakeholder and user expectations into interface requirements
  • Understand the current capabilities of AI that impact what you can design and how users will interact with it
  • Learn from examples of good and bad AI interface design

Implement user interfaces for your AI products and features

  • Incorporate user data to inform design decisions
  • Decide on UI frameworks for AI features
  • Establish user trust in your AI products
  • Define the amount of transparency needed for your AI product
  • Learn from examples of good and bad AI user interfaces

Help stakeholders choose the right technology for your users’ needs

  • Synthesize up-to-date information about AI model capabilities with product needs
  • Conduct meaningful conversations with developers around AI technology tradeoffs
  • Learn how current limitations of AI technology informs crucial design decisions

Taught by

Caleb Sponheim, Evan Sunwall, Page Laubheimer, Sarah Thompson

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