“I was impressed by IF’s work, the speed at which they understood the problem space, and their ideas on the wider system necessary to create trust. IF helped us to understand a complex area for design.”

[.quote-author]Principal Designer, Research & Machine Intelligence, Google AI[.quote-author]

Problem

Designing for trust in a near-future world where personal AIs are commonplace. Our work looked at how explainability, control and rights-enhancing principles could practically work in a user interface. This work is confidential so we are unable to describe the work in detail.

Our approach

We worked with Matt Jones and Rob Marchant at Google AI, uncovering ways in which people and AI could earn and maintain trustworthy relationships. This work has continued in several other projects with teams within Google AI and Google Research that explored themes of trust, AI and personalisation.

Full stack design and development

Prototypes that connected the emerging AI technologies to what might be possible in the interface.

Design research

Using prompts and provocations in formative research sessions with people, sometimes in their home, sometimes in a lab environment, sometimes online. This helped us to critique our assumptions, build empathy and explore the edges of the problem space. Sarah spoke about some of those edges in a talk at CogX.

Capabilities for trust

Putting words and narratives together that were compelling and useful to internal teams, as unpacked by our client Tiona (~28:00).

Outcomes

Design patterns from these projects have been used across the Pixel market of 3.6B users, and influenced Google’s PAIR library.

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