Published document record
Machine Learning for IRB Models: Follow-up report from the consultation on the Discussion Paper on machine learning for IRB models
PDF source copies
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Official PDF — unmodified source copy
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Download PDF — 24 pages (1.28 MB)EBA/REP/2023/28. Title page identifies this document.
Source: European Banking Authority. Retrieved 2026-09-10.
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Official metadata
- Official title
- Machine Learning for IRB Models: Follow-up report from the consultation on the Discussion Paper on machine learning for IRB models
- Official reference
- EBA/REP/2023/28
- Document type
- Report
- Document date
- 2023-08-04
- Document date kind
- Publication
- Document-date evidence
- European Banking Authority · EBA release: 4 August 2023, published today; linked report last update 4 August 2023. — Exact official publication is the fallback document date; no exact independent issue day established.
- Publication date
- 2023-08-04
- Publication-date evidence
- European Banking Authority · Release dated 4 August 2023: EBA published today; matching follow-up report download. — Establishes official publication of this version on 2023-08-04, before the 4 September 2026 cutoff.
- Additional official dates
- Cover issue: 2023-08 (month) · European Banking Authority · PDF p. 1, cover: Machine learning for IRB models, follow-up report from the consultation; EBA/REP/2023/28, August 2023. Supports month precision only.
- Legal status
- Non binding
- Legal-status evidence
- European Banking Authority · PDF pp.3-5, summary and consultation history; section 5.2 and Annex I. — Non-legislative report, scientific guidance, strategic workplan or consultation text; not an act creating binding law.
- 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 Banking Authority · PDF pp.3-5, summary and consultation history; section 5.2 and Annex I. — AI/ML is a substantive regulatory or sectoral subject.
- Sector tags: Financial services · European Banking Authority · PDF pp.3-5, summary and consultation history; section 5.2 and Annex I. — Addresses regulated banking, insurance or securities activities.
- Provenance tags: Authored by an EU agency or body · European Banking Authority · PDF pp.3-5, summary and consultation history; section 5.2 and Annex I. — Produced within the named EU agency/body; named personal author credits remain separate.
- Provenance tags: Officially published · European Banking Authority · Official record with linked English document. — Official EU endpoint distributes this independently citable English text.
Production provenance
- Provenance tags
- Named bibliographic authors
- European Banking Authority · European Banking Authority · PDF institutional title and imprint.
- Institutions and roles
-
- European Banking Authority · Author · role evidence · PDF institutional title/imprint and substantive text.
- European Banking Authority · Official host · role evidence · Official publication record and linked English PDF.
- European Banking Authority · Publisher · role evidence · Official publication record and linked English PDF.
Official sources and identifiers
- Official source · Publisher/host: European Banking Authority
- Official source · Publisher/host: European Banking Authority
Research assessment
- Inclusion rationale
- Machine learning is the report's central regulatory object, including explainability, supervisory compliance, GDPR interaction, AI Act scope, and principle-based recommendations.
- Researcher notes
- Cover has August 2023 only; publication supplies exact fallback date. Distinct follow-up report, not a revised manifestation of the discussion paper.
- Review status
- verified
Relationships
-
Machine Learning for IRB Models: Follow-up report from the consultation on the Discussion Paper on machine learning for IRB models · Based on · EBA Discussion Paper on machine learning for IRB models
Official relationship · Verified
Official rationale: Follow-up report pp.3-5 summarises consultation on the 11 November 2021 discussion paper and retains/refines its recommendations.
Verification
- Expanded evidence review
- Verified
- Reviewed by
- Yichen Hao
- Evidence review date
- 2026-09-05T23:48:11Z
The evidence review date is not a separate human sign-off date. Review credit and evidence-review actions
- Last verified: 2026-09-05T23:48:11Z · EBA release: 4 August 2023, published today; linked report last update 4 August 2023. Official linked English manifestation reviewed.
- Last verified: 2026-09-05T23:48:11Z · PDF pp.3-5, summary and consultation history; section 5.2 and Annex I. English text inspected in web extraction or Node fetch plus pypdf; no retained file snapshot claimed.