Nate Davis, independent information architecture consultant, discusses IA sub-disciplines influencing digital UI construction. Topics include UI structural engineering, AI integration, educating customers about IA, collaboration between information architects and knowledge engineers, design sustainability and scalability, the evolution of IA, aligning personal intentions with the system, accountability in IA, and interdisciplinary collaboration.
Information architecture subdisciplines include architecture, design, engineering, and operations, each playing a role in constructing digital user interfaces.
Human involvement and accountability are essential in AI-powered systems to ensure conceptual alignment and maintain organizational objectives.
Deep dives
Information architecture subdisciplines
Nate Davis discusses the four subdisciplines within information architecture that influence the construction of digital user interfaces. The first subdiscipline is architecture, which involves aligning and resolving intent to create a coherent objective. Design, the second subdiscipline, focuses on solving user needs and designing artifacts such as taxonomies and site maps. Engineering, the third subdiscipline, involves instantiating the design and implementing it without the need for extensive technical coding. Lastly, the operations subdiscipline deals with maintaining and systematizing workflows to ensure the sustainability and durability of the UI structure over time.
Facilitating shared understanding at scale
The central goal of information architecture is to facilitate shared understanding and align conceptual clarity. Whether with small-scale projects or at a larger scale, information architects work to boil down complex ideas and concepts into simple, efficient structures. By creating clarity and order, information architects help teams and organizations achieve their goals with shared alignment.
The role of humans in AI
Nate Davis highlights the ongoing need for human resources in jobs that require a command of human communication, even in the face of advancing AI technologies. While AI models can assist in spotting patterns and generating solutions, humans remain essential for maintaining domain knowledge, ensuring conceptual integrity, and upholding corporate accountability. Accountability, clarity, and alignment with organizational objectives are crucial in overseeing the use of AI and allowing humans to have the final say.
AI and the importance of human involvement and accountability
Despite advancements in AI technology, human involvement and accountability are crucial when considering jobs displaced by technology. Nate Davis emphasizes that AI models lack self-awareness and understanding of meaning, semantics, and inferencing. Therefore, humans play a vital role in maintaining conceptual alignment within organizations, ensuring that the intent and understanding behind AI-generated content align with organizational objectives. Human information architects can assist in translating business concepts and sustaining alignment through a systematic approach to data and content, ensuring accountability and reliability in AI-powered systems.
Nate Davis is an independent information architecture consultant and a longtime contributor to the global IA community. In this conversation, we discuss his ideas about IA sub-disciplines that influence the construction of digital user interfaces.