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Reading List: AI for Designers

Curated collection of essential reads for designers working with AI. Books, articles, research papers, and resources organized by topic and skill level.

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Reading List: AI for Designers

Overview

When I started designing AI products, I struggled to find resources that bridged the gap between design and machine learning. This reading list is the collection I wish I had back then. It's organized by topic and includes my notes on why each resource is valuable and what you'll learn from it.

How It's Organized

The list is divided into sections: Foundations (understanding AI/ML basics), Design Patterns (practical UI/UX patterns), Ethics & Responsibility (building trustworthy AI), Research Methods (testing AI products), and Advanced Topics (prompt engineering, fine-tuning, model evaluation). Each section is tagged with difficulty level and time commitment.

My Recommendations

If you're just starting, begin with 'Human-Centered AI' by Google and 'People + AI Guidebook'. For practical patterns, dive into 'Designing Voice User Interfaces' and Microsoft's 'AI Design Guidelines'. To understand the technology, read 'The UX of AI' and 'AI for Designers' course materials. Each resource includes my personal notes on key takeaways.

What's Inside

  • 40+ curated resources
  • Books, articles, and papers
  • Video courses and tutorials
  • Design pattern libraries
  • Research publications
  • Industry guidelines
  • Organized by topic and difficulty
  • Personal notes and takeaways
  • Regularly updated with new content
  • Links to free and paid resources

Who It's For

  • Designers new to AI/ML
  • Product designers wanting to specialize in AI
  • Researchers studying AI UX
  • Product managers learning about AI
  • Anyone curious about AI design

How to Use

  1. 1.Duplicate the Notion page
  2. 2.Browse by topic or difficulty level
  3. 3.Start with 'Foundations' if you're new
  4. 4.Read my notes for each resource
  5. 5.Mark items as you complete them
  6. 6.Add your own notes and learnings
  7. 7.Share with your team
  8. 8.Check back for regular updates

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