Published document record

Robustness and explainability of artificial intelligence

Official metadata

Official title: Robustness and Explainability of Artificial Intelligence: From technical to policy solutions
Official reference: JRC119336; EUR 30040 EN; DOI 10.2760/57493
Document type: Report
Document date: 2020-01-13
Document date kind: Publication
Document-date evidence: European Commission · Date available panel and dc.date.available = 2020-01-13; dc.date.issued gives only 2020. — Repository availability used as a date fallback, not an asserted issue day.
Publication date: 2020-01-13
Publication-date evidence: European Commission · Date available panel and dc.date.available = 2020-01-13. — Explicit publication evidence for the cited manifestation.
Version label: JRC technical report, English edition
Legal status: Non binding
Language: en

Research classifications

These are researcher classifications used to organise and analyse the corpus; they are not official EU metadata.

Record level

Principal

Version status

Final

Temporal collection

Contemporary EU AI policy

Relevance class

Direct AI relevance

Policy stage

Agenda setting

Corpus tier

Directly related

Sectors

Policy membership

Classification evidence

Relevance class: Direct AI relevance · European Commission · Section 4, printed pp.22-25 (PDF pp.26-29), From technical to policy solutions. — An institutional policy-support report on the robustness and explainability of AI systems, with specific discussion of AI certification, impact assessment and standardisation.
Sector tags: General cross sector · European Commission · Section 4, printed pp.22-25; regulatory considerations across AI applications. — Substantive coverage supports this navigation classification; not a claim that every application mentioned is regulated by this document.
Sector tags: Cybersecurity · European Commission · Sections 3.2 and 4.1-4.2; adversarial robustness, testing and security certification. — Substantive coverage supports this navigation classification; not a claim that every application mentioned is regulated by this document.
Sector tags: Research and innovation · European Commission · Section 3, printed pp.10-21; technical research on robustness and explainability connected to policy options. — Substantive coverage supports this navigation classification; not a claim that every application mentioned is regulated by this document.
Provenance tags: Authored by an EU institution · European Commission · Official title/identity block and institutional attribution. — Attribution follows the issuing institution, not merely its website domain.
Provenance tags: Officially published · European Commission · Public official full text and corresponding identity metadata. — Confirms official public availability; an exact first release day is separately assessed.

Production provenance

Provenance tags

Named bibliographic authors

Ronan Hamon · European Commission · Report cover/heading names the author or rapporteur; not inferred from project contacts.
Henrik Junklewitz · European Commission · Report cover/heading names the author or rapporteur; not inferred from project contacts.
Ignacio Sanchez · European Commission · Report cover/heading names the author or rapporteur; not inferred from project contacts.

Institutions and roles

Joint Research Centre · Author · role evidence · Official title/identity block and institutional attribution; for reports, the institutional role is separate from the personal rapporteur/author credits.
Publications Office of the European Union · Publisher · role evidence · Official catalogue publisher / Cite as statement.

Official sources and identifiers

Official source · Publisher/host: European Commission
Official source · Publisher/host: European Commission

Research assessment

Inclusion rationale: An institutional policy-support report on the robustness and explainability of AI systems, with specific discussion of AI certification, impact assessment and standardisation.
Researcher notes: The technical report expressly does not imply a Commission policy position. The exact document date uses repository availability, not an inferred issue day. The PDF suggested citation contains an ISBN typo (978-92-79); the identity block and official catalogue give 978-92-76-14660-5. Personal names follow the PDF; catalogue expands Ignacio Sanchez to Jose Ignacio Sanchez Martin.
Review status: verified

Relationships

Robustness and explainability of artificial intelligence · Related to · Coordinated Plan on Artificial Intelligence

Official relationship · Verified

Official rationale: Locator: section 2.1, printed pp.6-7 (PDF pp.10-11), and reference [24], printed p.27. The technical report discusses the 2018 coordinated plan and identifies COM(2018)795 final in its references. This is policy-background discussion, not proof of implementation or legislative influence.

Evidence source: European Commission
Robustness and explainability of artificial intelligence · Related to · Ethics Guidelines for Trustworthy AI

Official relationship · Verified

Official rationale: Locator: section 2.1, printed p.7 (PDF p.11), HLEG discussion citing [25,26]; reference [26], printed p.27, names Ethics Guidelines for Trustworthy AI. This records an explicit documentary reference, not endorsement of every recommendation or a causal contribution to later legislation.

Evidence source: European Commission

Verification

Expanded evidence review: Verified

Reviewed by: Yichen Hao
Evidence review date: 2026-09-12T11:57:14.718211Z

The evidence review date is not a separate human sign-off date. Review credit and evidence-review actions

Last verified: 2026-09-12T11:57:14.718211Z · Official English evidence retrieved and checked for document identity and cited passages. Archive format: pdf; SHA-256 5430f8adcdfd8f74c7453ff5ef3c2454154dc365b15d9127af9a5d5f0128e74a. Retrieval is not a public-release date. Archival preservation is not a public PDF redistribution licence.
Last verified: 2026-09-12T11:57:14.718211Z · Official English evidence retrieved and checked for document identity and cited passages. Archive format: html; SHA-256 6bc830946aebeaa33dfdc13624df969e8735a593dbf441ed032e161fd91bede0. Retrieval is not a public-release date. Archival preservation is not a public PDF redistribution licence.

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