The how behind Compassionate AI
AI Governance
by Architecture.
AI Governance by Architecture is the first layer of protecting your privacy. It turns principles into decisions about what a system can access, say, remember, and share.
The standing rule: provable, not promised.
Local processing
Lily and GRACE process speech and generate responses on the device. Their conversations do not require a cloud service.
Defined memory
Lily and GRACE do not retain what you say. FAM and PAL have a different purpose: limited outcomes, with the conversation kept private.
Source fidelity
Authoritative quotations come from loaded source material. The source, rather than model improvisation, provides the quoted text.
The limits should be understandable.
A useful explanation of AI privacy names the device, the information involved, the memory behavior, and any reporting path. Different units need different explanations.
01 · Input
What can it hear?
Explain when the microphone is active and where speech is processed.
02 · Sources
What can it use?
Identify the knowledge and instructions available to the unit.
03 · Memory
What can it keep?
Distinguish temporary conversation state from any retained outcomes.
04 · Output
What can leave?
Show the exact boundary between a private conversation and permitted reporting.