PWR-194 · Human–AI Complementarity

AI-assisted memory

AI-supported memory is a configured retrieval capability; what is remembered by the person and what remains in the system must be reported separately.

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Revision 7T · Full Tutorial Edition · Release manifest · Methodology · Corrections

One source of teaching truth

Canonical Power learning unit · TLU-PWR-194

The learner builds source-linked cards, checks every generated fact, measures device-on retrieval and delayed unaided recall, and rehearses an outage fallback.

Canonical Power page
PWR-194 · AI-assisted memory
Full tutorial
Open full tutorial
Practical authority
The tutorial teaches a low-risk method that may be practised inside its stated limits.
Current treatment
Full low-stakes tutorial
Research depth
deep · 7 bound sources
Risk framing
moderate to high governance
Capability self-practice
Permitted inside the tutorial's stated low-risk limits
Pathway membership
G-CUR-021

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Explanation is not permission.

This dossier explains the evidence and its limits. It is not a diagnosis, personal recommendation, assessment, clearance, performance promise or training programme. Actionable teaching appears only when the canonical Power record explicitly authorises it.

Complete bounded explanation

What this power means.

Capability to develop or express ai-assisted memory in a declared context without inheriting broader claims.

What the current evidence supports

AI-supported memory is a configured retrieval capability; what is remembered by the person and what remains in the system must be reported separately.

How to observe or measure it without overclaiming

Device-on retrieval accuracy, source traceability and latency plus delayed unaided recall and performance after system loss. This measures the declared configured system and cannot by itself establish broad transfer, unaided ability, safety or legitimacy.

Myth

An AI second brain permanently expands memory

Metric

Device-on retrieval accuracy, source traceability and latency plus delayed unaided recall and performance after system loss

Boundary

Report person, device/model/interface, task, assistance, failure state and comparator; the metric is not proof of unaided general capability.

Negative and limiting findings

  • Expectation of external access changed what people recalled, and biased AI exposure produced later unassisted errors rather than improvement.
  • No cited evidence supports perfect, universal or consequence-free performance.

Claims this evidence cannot support

  • An AI second brain permanently expands memory
  • The tool or robot's output proves an unaided, universal or permanent human superpower
  • A successful laboratory task proves independent real-world or clinical capability

Individual tutorial · FULL SELF GUIDED TUTORIAL

How to learn this Power now.

The learner builds source-linked cards, checks every generated fact, measures device-on retrieval and delayed unaided recall, and rehearses an outage fallback.

  1. Get readyUse only fictional, public or approved non-sensitive text.
  2. Learn the method8 concrete steps teach the permitted method from start to finish.
  3. See right and wrong4 comparisons show correct or safer execution beside common wrong or riskier choices.
  4. PractiseBuild one five-to-eight-card set weekly. Test after 48 hours without cards and perform an outage drill every second week; progress only when source traceability stays perfect and delayed errors do not rise.
  5. Check progressBaseline fixture: A 12-sentence fictional museum notice names three opening times, two room changes and one contact rule. The AI proposes six question–answer cards linked to sentence numbers. Enter success checks from “Create a clean source” and “Retrieve in both directions”. If “Store uncited AI summaries as memory.” occurs, apply its named fix; then score Device-on retrieval accuracy, source traceability and latency plus delayed unaided recall and performance after system loss on the unused “Rehearse system loss” item.

Authority boundary: Titan teaches a concrete low-stakes method step by step while keeping evidence and transfer claims bounded. The method is Power-specific; its actionability follows this treatment.

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Related Powers: PWR-193 · PWR-195 · PWR-196 · PWR-197

Direct evidence register

Sources that support—and limit—the claim.

Citation roles are explicit. A source may support existence or trainability while simultaneously limiting transfer, certainty, generalisation or safety.

  1. Primary empirical supportLimiting / contrary
    Humans inherit artificial intelligence biases

    Lucía Vicente; Helena Matute · 2023 · Primary research

  2. Limiting / contrary
    AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting

    Greg Kestin; Kelly Miller; Anna Klales; Timothy Milbourne; Gregorio Ponti · 2025 · Primary research

  3. Limiting / contrary
    Relying on AI at work reduces self-efficacy, ownership, and meaning while active collaboration mitigates the effects

    Elena Hayoung Lee; Yidan Yin; Nan Jia; Cheryl J. Wakslak · 2026 · Primary research

  4. Primary empirical supportLimiting / contrary
    Google Effects on Memory: Cognitive Consequences of Having Information at Our Fingertips

    Betsy Sparrow; Jenny Liu; Daniel M. Wegner · 2011 · Primary research

  5. Limiting / contrary
    Experimental evidence on the productivity effects of generative artificial intelligence

    Shakked Noy; Whitney Zhang · 2023 · Primary research

  6. Limiting / contraryOfficial boundary context
    Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile

    C. Autio; R. Schwartz; J. Dunietz; S. Jain; M. Stanley; E. Tabassi; P. Hall; National Institute of Standards and Technology · 2024 · Official authority

  7. Limiting / contraryOfficial boundary context
    NIST Privacy Framework: A Tool for Improving Privacy Through Enterprise Risk Management, Version 1.0

    National Institute of Standards and Technology · 2020 · Official authority

Current teaching and evidence boundary

The next gate remains visible.

External confirmation is required before higher-authority use because: a clinical, high-risk or regulated configuration.

A Power-specific tutorial is available at /tutorials/pwr-194/. It contains a plain-English method, 8 ordered steps, a worked example, right-versus-wrong comparisons, specific mistakes and corrections, practice, measurement, accessibility, stopping rules and evidence. Its self guided mode remains controlling.