for building contextual reasoning models to accelerate human reflecting, meaning-making, and solution finding, in situation-specific environments.
that presents a multifactorial view of any complex human situation, employing small data.
for snapshotting patient-perspective/person-perspective mental processes. (The internal specifications around why people do, and how they do, and the goals they are pursuing.)
for presenting human perceptions in a contextualized container, which activates more wholistic human reasoning.
the system makes it possible to create programming boundaries for AI to learn the interlinking patterns of human perceptions and human reasoning. This will make it possible to prompt human curiosity or expand human awareness. It will permit more responsive Human-AI collaborations in the days ahead.
The Spherit system has been designed to be adapted for use with intelligent tech. For illustrative purposes, we are calling this metaphorical AI assistant a 'Spherit Guide.'
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This system has also been designed to prompt refined contextualized sharing, which can be used for onboarding by humans with humans.
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