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English | 2026 | ISBN: 0642572278793 | 80 Pages | EPUB | 2.7 MB [/center]
Design plays a pivotal role in shaping how humans experience AI-but most traditional design methods weren't built for the complexity and ambiguity of today's intelligent systems. Designing for AI is an essential guide for product and design leaders navigating this new landscape. Written by Arash Sadr, head of AI innovation at Google DeepMind, this book introduces a systemic framework for designing trustworthy, adaptable AI products, moving beyond screens and interfaces to cover the full lifecycle-from framing the right problem to long-term governance.
Built for practitioners ready to translate AI's potential into meaningful experiences, this book provides a high-level yet practical playbook. Readers will discover new design materials, unreleased design patterns, and actionable ways to align user needs, business strategy, and machine capabilities. Whether you're delivering your first AI-powered product or scaling an existing one, this resource offers a clear methodology to lead with confidence.
Rethink traditional UX methods for an AI-first product era
Apply foresight and ethical design to reduce long-term risk
Architect trust through techniques like meaningful friction
Create scalable design artifacts for governance and collaboration
Use AI design patterns and playbooks for concept-to-launch support
Lead the shift from static interfaces to intelligent product ecosystems
English | 2026 | ISBN: 0642572278793 | 80 Pages | EPUB | 2.7 MB [/center]
Design plays a pivotal role in shaping how humans experience AI-but most traditional design methods weren't built for the complexity and ambiguity of today's intelligent systems. Designing for AI is an essential guide for product and design leaders navigating this new landscape. Written by Arash Sadr, head of AI innovation at Google DeepMind, this book introduces a systemic framework for designing trustworthy, adaptable AI products, moving beyond screens and interfaces to cover the full lifecycle-from framing the right problem to long-term governance.
Built for practitioners ready to translate AI's potential into meaningful experiences, this book provides a high-level yet practical playbook. Readers will discover new design materials, unreleased design patterns, and actionable ways to align user needs, business strategy, and machine capabilities. Whether you're delivering your first AI-powered product or scaling an existing one, this resource offers a clear methodology to lead with confidence.
Rethink traditional UX methods for an AI-first product era
Apply foresight and ethical design to reduce long-term risk
Architect trust through techniques like meaningful friction
Create scalable design artifacts for governance and collaboration
Use AI design patterns and playbooks for concept-to-launch support
Lead the shift from static interfaces to intelligent product ecosystems
Quote:https://rapidgator.net/file/9d33bcaf3038....epub.html
https://nitroflare.com/view/D2772BB54845...78793.epub