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AI signaling

As explained in The Art of AI Product Development

AI signaling is the deliberate communication that artificial intelligence is processing information or generating an output.

When an interface processes information or produces an answer, users should be able to tell when AI is involved. AI signaling makes that activity visible so users can better understand what the system is doing. In most cases, show that AI is at work rather than leaving users to infer it. section 10.2.2

A signal is only one part of the experience. Pair it with explanations of the AI’s capabilities and guidance on using them; use trust indicators and feedback options where uncertainty or mistakes matter. User research can reveal which of these needs is most pressing. section 10.2.2

Figure 10.15 Notion’s Nosy not only signals AI, but also accompanies and adapts to its activities.
A white circle with a face drawn on it

AI-generated content may be incorrect.

Notion’s Nosy illustrates a signifier that accompanies AI activity and adapts to what it is doing. section 10.2.2

How The Art of AI Product Development covers it

How deep it goes
Defines the guideline and points to signifiers and a product example, without specifying implementation steps.
Examples
Uses AI signifiers and Notion’s Nosy as visual examples of signaling AI activity.
What you can do after
Practice/perform AI signaling by clearly marking AI processing and generated outputs in an interface.
How it connects
Connects AI signaling to mental models, user research, trust calibration, and AI uncertainty.

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.