Read, compare, question

Knowledge to build on.

Research, standards and practical sources on knowledge, human judgement and AI. Each source explains its relevance and the limits of what you can conclude from it.

60 resources · 11 topics · EN / NL

Five places to start

A short route: understand the proposition, compare established practice and test the claims.

  1. Understand the propositionArtiProof · whitepaper 1.2
  2. Compare established practiceISO 30401 · knowledge management
  3. Examine human judgementBainbridge · Ironies of Automation
  4. Trace the provenanceW3C · PROV-O
  5. Make claims testableCOS · Registered Reports

ArtiProof · AP-WP-01 / 02 / 03 / 04 / 05

Our whitepapers

Five whitepapers, with versions and direct PDF links. The sector and society papers are available in English and Dutch. Our own research propositions are clearly labelled as ArtiProof material.

Explore the five whitepapers →All publications and earlier editionsFor the general whitepaper, NL 1.1 is an earlier edition; the new sector and society papers each have Dutch and English versions 1.0.

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Clear filters

13 resources

GuidanceStart here

Registered Reports

Center for Open Science · EN

Peer review of research questions and methods before results are known.

Why this source?

A concrete route for strengthening ArtiProof's proposed comparative studies.

What to bear in mind

A publishing format with quality and protocol conditions, not a guarantee of publication or correct conclusions.

Comparator

Link checked ·

Research paper

AI can help humans find common ground in democratic deliberation

Tessler et al. / Google DeepMind · 2024 · EN

Research on AI-assisted deliberation and finding common ground.

Why this source?

Distinguishes support for deliberation from factual verification.

What to bear in mind

Agreement is not evidence that a claim is true; the study setting limits the conclusion.

Research paper

Generative AI without guardrails can harm learning: Evidence from high school mathematics

Bastani et al. / PNAS · 2025 · EN

A randomised school experiment separating AI-assisted practice from subsequent unassisted performance. Tutor safeguards mitigated the adverse learning effect.

Why this source?

Makes retained capability and the design of AI assistance testable questions.

What to bear in mind

One Turkish high school and short-term maths outcomes; not a general estimate for adult workplaces. The publisher records an author-affiliation correction.

Research report

Global Knowledge Index 2025

UNDP / Mohammed bin Rashid Al Maktoum Knowledge Foundation · 2025 · EN

Compares national knowledge systems through indicators covering education, research, technology, the economy and their wider environment.

Why this source?

A useful comparison for the society paper: national knowledge conditions and the ability to sustain a specific function are different questions.

What to bear in mind

An aggregate index, not a direct measure of operational knowledge fitness. The report is the 2025 edition; the linked publication page is dated February 2026.

Research review

Learning Versus Performance: An Integrative Review

Soderstrom & Bjork / UCLA · 2015 · EN

Explains why immediate task performance can diverge from lasting learning.

Why this source?

Supports assessing retention and transfer, rather than assuming successful assisted work proves independent capability.

What to bear in mind

Review of learning research, not a study of generative AI or ArtiProof.

Guidance

NIST SP 800-53A Rev. 5 — Assessing Security and Privacy Controls

NIST · Joint Task Force · 2022 · EN

A methodology and adaptable procedures for assessing security and privacy controls, with assessment planning and analysis of results.

Why this source?

An established comparator for evidence-based assessment: ArtiProof should explain its added value alongside competent existing assurance practice.

What to bear in mind

Its subject is security and privacy controls. It is not a general knowledge-assurance standard. The official page also identifies later release updates.

Reference

Operationalisation of Open Strategic Autonomy in industrial innovation

Fraunhofer ISI · 2023 · EN

Project description explaining the concepts and patent, trade and production data behind research on open strategic autonomy.

Why this source?

Makes the research setting behind the JRC report visible and helps compare what different autonomy measures actually observe.

What to bear in mind

Background to the same research project as the JRC report; it is not independent corroboration or a separate validation study.

Research report

Reproducibility and Replicability in Science

National Academies of Sciences, Engineering, and Medicine · 2019 · EN

Distinguishes recomputing results with the same data from testing a scientific question with new data.

Why this source?

Clarifies what evidence an independent replication claim should describe.

What to bear in mind

Terminology differs between disciplines. This consensus report does not establish that any ArtiProof study has been replicated.

Established foundation

Link checked ·

Research paper

To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making

Buçinca, Malaya & Gajos · 2021 · EN

An experiment testing interventions that require people to think before accepting AI advice.

Why this source?

Turns human oversight into a question about actual behaviour and interface design.

What to bear in mind

A 199-participant experiment in a specific task; reduced overreliance came with usability trade-offs and unequal benefits.

Research review

When Combinations of Humans and AI Are Useful: A Systematic Review and Meta-analysis

Michelle Vaccaro, Abdullah Almaatouq & Thomas W. Malone · Nature Human Behaviour · 2024 · EN

Synthesises experiments comparing humans alone, AI alone and combined systems; outcomes vary by task and comparison.

Why this source?

Challenges the assumption that adding human involvement automatically improves AI-supported performance and reinforces the need for appropriate comparators.

What to bear in mind

The studies cover particular tasks, systems and populations. Aggregate findings are not an effect estimate for ArtiProof or every current AI system.

About this selection

We select sources that clarify a concrete knowledge question, credit existing work or offer a serious challenge. Standards, practical advice, philosophical arguments and empirical studies carry different kinds of evidence. Inclusion implies no partnership, certification or validation of ArtiProof.

KopKen inspired part of this selection. This library has its own focus on organisational knowledge, evaluation and justified reliance. KopKen →

Checking and maintenance

Link checks concern access, not the truth of every claim. The commentary is an editorial summary, not a systematic review or full methodological assessment.

Editorially revised: .

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