Designing human-centered AI products can be challenging, especially with the rapidly changing pace of AI technology development and design strategies.
The AI Pace Layers framework, inspired by Stewart Brand's Shearing Layers concept, helps teams create resilient AI products with components evolving at different timescales.
Each layer in the AI Pace Layers framework represents a specific domain of activity, such as Sessions, Skin, Services, Skeleton, Scope, and Strategy, with different paces of change.
By addressing tension points between layers, product teams can enhance innovation, anticipate friction, and build resilient AI systems that adapt to technological advancements while meeting human needs.
The AI Pace Layers framework acknowledges the interaction of components across various timescales, guiding thoughtful design choices to prevent system disruptions.
Examples provided demonstrate how friction between layers, such as Sessions and Skin, or Services and Skeleton, can impact the user experience and product functionality.
Improvements suggested include creating feedback mechanisms, updating usability heuristics, and designing interactive visualization components to enhance AI products' adaptability and utility.
The framework is a dynamic tool that evolves alongside AI advancements, inviting feedback from those involved in building successful AI products to refine its application in practice.
AI Pace Layers fosters a mindful approach to designing AI systems, promoting constructive innovation and human-centric development in the ever-evolving landscape of artificial intelligence.