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