Designing AI Interfaces: Design Principles for Creative and Autonomous AI
暫譯: 設計 AI 介面：創意與自主 AI 的設計原則
Macfadyen, Louise
商品描述
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 product designers 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.
- Design effective and ethical interfaces for LLMs and AI agents
- Apply best-practice patterns for content warnings, permissions, and oversight
- Gain a mental model for how AI systems reason and act
- Collaborate confidently with engineering and product teams
- Evaluate your org's AI maturity and advocate for responsible implementation
商品描述(中文翻譯)
隨著人工智慧成為現代產品設計的核心，使用者體驗（UX）專業人士必須調整他們的工具包以滿足新的需求。在《設計 AI 介面》中，高級產品設計師 Louise Macfadyen 提供了一本及時且以實踐為導向的指南，幫助建立直觀、倫理且有效的使用者體驗，特別是針對大型語言模型（LLMs）和自主 AI 系統。本書涵蓋了從內容審核到可中斷性等主題，提出了針對當今最先進的 AI 互動的可行設計模式，並提供清晰的技術見解，幫助設計師理解 AI 系統如何處理輸入、生成輸出以及代表使用者做出決策。
本書專為在 AI 轉型中導航的產品設計師撰寫，提供具體的策略來管理風險、促進透明度並在日益自主的系統中培養使用者信任。讀者將學習如何讓使用者即時引導和塑造 AI 的回應，將倫理和 UX 原則融入可行的設計策略，並在自主性和控制之間進行權衡，同時熟悉關鍵的 AI 概念，以便更有效地與工程團隊合作。
- 設計有效且符合倫理的 LLM 和 AI 代理介面
- 應用內容警告、許可和監督的最佳實踐模式
- 獲得 AI 系統推理和行動的心智模型
- 自信地與工程和產品團隊合作
- 評估組織的 AI 成熟度並倡導負責任的實施
