8 New Artificial Intelligence Design Books Reshaping 2025

What makes this book stand apart is its focus on how AI integrates directly into the design and process science of system development, moving beyond theory to real societal impact. Sang C. Suh, a Regents Professor with three decades of research in artificial general intelligence and human-computer interaction, draws on cutting-edge topics like large language models and generative AI to explore intelligent system design and communication dynamics. You’ll find insights into feature selection and smart design principles that aim to promote social wellbeing, making this an essential read if you’re involved in academic research or applied AI development. The chapters dedicated to transdisciplinary applications show you how AI’s relevance expands across fields, not just tech.

Unlike most artificial intelligence design books that stick to theory, Lise Pilot draws from over 20 years of hands-on experience in UX to show how AI can enhance every phase of the design process. You’ll learn to integrate AI tools not only for research and ideation but also for prototyping and user testing, with clear guidance on ethical considerations and future-proofing your career. Chapters detail practical applications like streamlining workflows and developing an AI-focused mindset, making this particularly useful if you’re already engaged in UX design and want to stay relevant. If you’re curious about AI’s real impact on UX, this book grounds you firmly in what’s possible today without overhyping the technology.

This tailored book explores the latest breakthroughs and emerging trends in artificial intelligence design for 2025. It covers cutting-edge developments, innovative design practices, and new research that are shaping the future of AI-driven creative processes. By focusing on your unique background and specific interests, this personalized guide examines advanced AI design principles and technologies, providing you with targeted insights that align with your goals. It reveals how these advancements influence human-centered design, system architecture, and creative workflows, helping you stay ahead in the rapidly evolving AI design landscape.

Drawing from her experience in AI integration and design, Fawn Savage challenges the traditional boundaries between technology and user experience in this work. You’ll explore how AI can be embedded within interfaces to anticipate user needs, personalize content, and create smoother, more intuitive interactions. The book delves into methods for designing conversational agents like chatbots using natural language processing, alongside principles that align AI capabilities with user-centric design. If you’re involved in UI design, development, or research, this concise guide offers a practical lens on blending AI with interface creation, though it’s best suited for those ready to engage with the emerging AI-driven design landscape.

Narjes Abbasabadi and Mehdi Ashayeri bring their expertise in AI and sustainable design to this focused exploration of machine learning's role in optimizing the built environment. You’ll find detailed frameworks for multi-scale performance modeling, covering energy flows, environmental quality, and human factors, illustrated through practical case studies and computational tools. The book targets professionals and students in architecture, engineering, and urban planning, offering insights into integrating intelligent systems like digital twins throughout building lifecycles. If your work involves sustainable design or performance-driven architecture, this book sharpens your understanding of how AI can enhance simulation, optimization, and automation processes.

Matias del Campo explores the transformative impact of artificial intelligence on architectural design, highlighting how AI shifts the very idea of authorship and creative agency. You gain insight into the debates around human versus machine contributions when AI generates over half of design content, challenging traditional notions of the sole genius architect. The book presents a collection of perspectives from leading contributors that examine AI’s role from practical design tools to theoretical implications, offering nuanced understanding for anyone involved in architecture’s evolving landscape. If you’re interested in how emerging AI technologies reshape creative processes and design ecologies, this book provides thoughtful discussion rather than technical manuals.

This tailored book explores the forefront of artificial intelligence design and implementation as it evolves into 2025. It covers emerging discoveries, innovative design approaches, and the latest technological advancements, focusing on your specific interests and background. By weaving together recent research and future-focused concepts, it reveals how AI design is transforming across industries and disciplines. The personalized content ensures you engage deeply with the aspects most relevant to your goals, empowering you to anticipate and contribute to the next wave of AI innovation. This approach makes learning efficient and targeted, helping you stay ahead in a rapidly shifting landscape.

When Anton Moller, a specialist in AI and graphic design, explored the evolving landscape of creativity, he developed this book to chart how artificial intelligence reshapes design workflows. You’ll discover how machine learning algorithms and automated tools are not just speeding up routine tasks but also expanding the creative toolkit with novel visual possibilities. For example, specific chapters unpack case studies where AI-assisted design led to innovative branding solutions and more efficient project turnarounds. This book suits designers and creative professionals eager to integrate AI into their practice and stay competitive without losing their artistic vision.

Ruchir Bakshi brings over twenty years of instructional design expertise to unpack how artificial intelligence reshapes learning development. You’ll discover how AI tools like machine learning and natural language processing can personalize content and analyze learner data effectively. Through the fictional journey of Sofia, the book illustrates practical integration of AI in instructional workflows while addressing ethical concerns and the irreplaceable role of human judgment. This book suits instructional designers and educators eager to experiment with AI’s potential without sidelining creativity and empathy in education.

This book captures the emerging wave of AI's impact on fashion, revealing how Dr. Prakash Kumar Udupi and Dr. Nisha Sharma chart the transformation of design through technology. You’ll explore how machine learning models predict trends, generate fabric patterns, and personalize styles, offering a clear picture of AI integration beyond buzzwords. The authors detail applications like virtual try-on tools and automated marketing strategies, giving you concrete examples from chapters on trend forecasting and consumer experience. If you’re involved in fashion or tech innovation, this book offers a focused look at AI’s real influence, though it’s less suited for those seeking purely technical AI instruction.