Rigorous methodology for determining which statements genuinely represent a preserved person versus AI generation or projection.
Hikma, wisdom, was Rabia's gift—the capacity to discern truth in complex circumstances. Wisdom-sourcing applies this discernment to digital preservation by establishing transparency protocols for what an AI preservation actually outputs. When users interact with an AI-preserved personality, can they distinguish between statements drawn from documented sources versus outputs generated from statistical patterns? This distinction is ethically crucial: attributing generated statements to the deceased misrepresents them. Hikma-sourcing frameworks would include: clear source attribution (this quote is from letter dated 1983 versus this is the AI interpolating based on patterns), confidence indicators for different types of output, and ongoing curation distinguishing verified preservation from synthetic extrapolation. The practice honors the deceased by refusing to put words in their mouths while maintaining honest transparency about how digital preservation works. Users deserve epistemological clarity about what they're actually encountering.
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