Designing For Human Intelligence In An Artificial Intelligence World
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Designing for Human Intelligence in an Artificial Intelligence World
How we think and react has a direct impact on experience design, but often designers don't understand the "whys" behind their best practices, leaving them at risk for misusing or underutilizing those designs. Similarly, psychologists/neuroscientists don't understand the design decisions that their science is informing and how they might be leveraged further. This book explores how neuroscience and cognitive psychology inform experience design, within the modern context of research and technological advances. With a conversational and playful tone, this book begins by grounding you in research and AI. That foundation then allows you to expand your repertoire through chapters on design-relevant cognitive phenomena such as memory, learning, and perception. By delving into how our brains handle these processes and how our designs can effectively (or ineffectively) leverage them, the book follows a journey that weaves academic learning with practical, real-world applications and examples. With the widespread availability of generative AI tools, understanding the intersection of human cognition and design and how that knowledge can be used to build a bridge between the brain and the software has become even more critical. By understanding the brain and human behavior more completely, designers will be able to effectively use AI as an accelerator for tactical projects and provide the context that is unique to the human ability to understand the "why.”
Integrating Artificial and Human Intelligence through Agent Oriented Systems Design
This book departs from the assumption that Artificial Intelligence (AI) systems will provide a maximum advantage by replacing human cognitive processing. Instead, this book subscribes to the assumption that AI systems will provide a maximal advantage when the system is specifically designed to augment human intelligence. It provides methods for designing effective systems that include one or more humans and one or more AI entities and uses the approach that assumes automation does not replace human activity but fundamentally changes the structure of human work when AI is added to existing systems. Integrating Artificial and Human Intelligence through Agent Oriented Systems Design discusses the potential impact of AI on human work and life and explores why teamwork is necessary today for complex work environments. The book explains the processes and methods humans employ to effectively team with one another and presents the elements of artificial agents that permit them to function as team members in joint human and artificial teams. It discusses design goals and illustrates how the methods that have been used to model the complex interactions among human and artificial agents can be expanded to enable the design of interaction between them to make possible the attainment of the shared goals. Model-Based Systems Engineering (MBSE) tools that provide logical designs of human–agent teams, the AI within these teams, training to be deployed for human and artificial agent team members, and the interfaces between human and artificial agent team members are all covered. MBSE files containing profiles and examples for building MBSE models used in the design approach are featured on the author’s website (https://lodesterresci.com/hat). This book is an ideal read for students, professors, engineers, and project managers associated with designing and developing AI systems or systems that seek to incorporate AI.
Artificial Intelligence for Design and Process Science
This book provides a focused overview of what role artificial intelligence (AI) plays on the design and process of system development and perspectives on making it more and more relevant and beneficial for our society. It covers topics like large language models, generative AI, intelligenticism, communication dynamics representation, feature selection, smart design and social wellbeing, and it demonstrates the general applicability of AI to various problems in transdisciplinary domains. The book is a Festschrift for two lifetime fellows of the Society for Design and Process Science (SDPS), Bernd Kramer and Murat Tanik, in order to appreciate their work and honor them for lifelong dedication to design and process science. It is based on a special honorary event held at the AI in Design and Process Science (AIDPS) workshop during the 2024 Hawaii International Conference in System Sciences (HICSS). Overall, this book is a source of inspiration for everybody in academia and research sectors working on the vision of creating a strong, fruitful and creative community of design and process science for social wellbeing through the development of AI technologies.