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Total Size:
17.6 MB
Info Hash:
C56965A3067E5C3B72FDB21A4CFD0C1DC6DFB9BB
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Added:
March 13, 2026, 9:44 a.m.
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(Last updated: March 13, 2026, 9:44 a.m.)
| File | Size |
|---|---|
| Macfadyen L. Designing AI Interfaces. Design Principles...2026.pdf | 17.6 MB |
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17.6 MB
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2026-03-13
| Uploaded by andryold1 | Size 17.6 MB | Health [ 53 /20 ] | Added 2026-03-13 |
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SOURCE: Macfadyen L. Designing AI Interfaces. Design Principles...2026
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MEDIAINFO
Textbook in PDF format Designing AI Interfaces is a practical, design-first guide for product teams building with large language models and autonomous systems. As artificial intelligence becomes central to modern product design, UX professionals must adapt their toolkits to meet new demands. In Designing AI Interfaces, senior product designer Louise Macfadyen offers a timely, practice-oriented guide for building intuitive, ethical, and effective user experiences with large language models (LLMs) and autonomous AI systems. From content moderation to interruptibility, this book presents actionable design patterns for today's most advanced AI interactions—with clear technical insights to help designers understand how AI systems process inputs, generate outputs, and make decisions on users' behalf. Written specifically for navigating the AI transition, this book provides concrete strategies for managing risk, enabling transparency, and fostering user trust in increasingly agentic systems. Readers will learn how to enable users to steer and shape AI responses in real time, incorporate ethical and UX principles into actionable design strategies, and navigate trade-offs in autonomy and control—all while gaining fluency in key AI concepts to collaborate more effectively with engineering teams. Gain an applicable mental model for how AI systems reason, process and act, and how they're experienced by users Design effective and ethical interfaces for LLMs and AI agents Apply best-practice patterns for content warnings, permissions, and oversight Collaborate confidently with engineering and product teams Evaluate your org's AI maturity and advocate for responsible implementation
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