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.
This talk presents an emerging framework to support AI design, helping us think about language, models, methods, and how we communicate with developers. The goal is to encourage a conversation 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.