Shape of AI is a platform curated by Emily Campbell that aims to provide a framework and community for designers to understand and shape the integration of artificial intelligence (AI) into products and experiences. As AI technology rapidly evolves, there is a need to design experiences that seamlessly blend human needs with algorithmic capabilities, ensuring that advanced technology feels familiar and intuitive.

AI Interaction Patterns on Shape of AI

Shape of AI has a collection of curated AI interaction patterns categorised into:

• Identifiers: Color scheme, Iconography, Name

• Wayfinders: Nudges, suggestions, templates

• Prompts: autofill, open chat, remix/blend, and synthesis

• Tuners: Filters/parameters, model management, personal voice

• Trust Indicators: Caveats, controls, feedback, and footprints

Shape of AI Goals

The goals of the project also include:

• Define principles and criteria for evaluating "good" AI design that aligns with user needs.

• Analyze existing and emerging AI interfaces and interaction patterns to understand how companies are approaching AI integration.

• Evaluate the user goals, use cases, and rationale behind current AI experiences.

• Explore how design teams, practices, and leadership roles may need to adapt for effective AI product development.

• Investigate the broader organizational and strategic implications of AI on customer experiences and business models.

Learn more about Shape of AI on their about page, where you can join a Slack Community and subscribe to the Shape of AI newsletter.