IA-for-AI: An evolving framework for a changing IA practice

Artificial Intelligence (AI) is dramatically changing—reshaping—the human and design landscape of computers, the internet, and society. It is increasingly used in engines behind many decision-making tools and information resources, as well as in machines (vehicles, drones, robots, etc.).

AI uses information models, structured data/content, real-world contextual sensor data, and formalized instructions to shape the machine’s “understanding” of information spaces and tasks. These elements are familiar to anyone working in the field of IA and UX. But the focus is changing: We now need methods to shape software that learns dynamically in real-time interaction with users.

This talk challenges us to engage in the transformational change to our practice, designing for and with AI. Alongside a reflection on our vital roles, I present an emerging Collaboration/Action Framework to support AI design, helping us think about language, models, methods, and how we communicate with developers and stakeholders. During the conference, rich conversations emerged within the IA community about how our involvement in creating responsible and engaging AI tools will change and shape the IA community over the coming years.