FUURAA Frontier Research™

Research domain 02

AI Identity & Memory

Continuity requires more than a session and more than a name.

We examine machine-readable identity, authority, provenance, long-term memory and the relationships that allow an AI system to remain useful without losing privacy, context or accountability.

Research direction—not a product announcementBilingual · Source-linked · Evidence-labelled
AI Identity & MemoryFUURAA conceptual visual

Open research questions

Questions that should remain visible while the field moves.

  1. 01

    What should constitute an agent’s identity across tools, organisations and time?

  2. 02

    How can memory remain useful, correctable, permissioned and privacy-preserving?

  3. 03

    How can authority and provenance be verified without excessive data collection?

Related publications

Evidence reviewed through the FUURAA research lens.

Live evidence radar

Recent signals connected to this domain.

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ObservedSubtleMemory research team · 4 June 2026

Long-term memory needs relation awareness

SubtleMemory tests whether agents distinguish complementary, nuanced and contradictory memories instead of retrieving isolated similar passages.

EmergingSubtleMemory research team · 4 June 2026

Contradictions should not be silently merged

Persistent assistants accumulate records that may diverge as people, plans and circumstances change.

ForecastSubtleMemory research team · 4 June 2026

Memory quality will be tested through downstream decisions

The benchmark separates preservation, retrieval and reasoning stages, showing that successful storage alone does not ensure correct assistance.

ObservedJAMA Pediatrics · 1 June 2026

Most youth chatbot use was not disclosed

A majority of surveyed young users had not told anyone they were using chatbots for mental-health advice.

ForecastJAMA Pediatrics · 1 June 2026

Clinician–AI disclosure pathways will emerge

FUURAA forecasts consent-based ways for users to share relevant chatbot interactions with clinicians without exposing entire private histories.

EmergingOrganisation for Economic Co-operation and Development · 28 May 2026

Comparable disclosure creates a common trust language

Common reporting fields make it easier to compare risk assessment, security, accountability and transparency practices across organisations.

EmergingOrganisation for Economic Co-operation and Development · 28 May 2026

Annual AI governance updates will become normal

The framework invites organisations to refresh disclosures each year, recognising that models, uses and controls evolve.

ForecastGoogle DeepMind · 7 May 2026

Machine-discovered methods will need auditable provenance

As autonomous search contributes to consequential engineering and scientific results, knowing which model, prompt, evaluator, data and human decision produced a method becomes part of its credibility.

Keep the question open

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Researchers, engineers, universities and public institutions may propose sources, corrections or areas for structured review.

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