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Praxikon

Explorer

Why this object hangs off that object

Every object in this graph has its own address and can be cited on its own. This page shows which objects exist and, once you open one, why it hangs off another: from which source with its locator, through which condition or exception, to which consequence.

Since the last release an obligation states separately who carries the duty and who is merely affected. Filter by duty holder and you get the duties resting on a role; filter by actor and you get everything that is about that role. That difference is visible on purpose.

This is the knowledge layer under the four levels of the assessment. See the four levels.

Filters

Only dimensions the data carries. A dimension without values is absent rather than empty.

Eleven types, including evidence, control and standard.

Is about this role. Walks the role hierarchy upward.

The duty rests on this role, not merely: it is about it.

The article route this object hangs off.

Free slugs, not a taxonomy with objects of its own.

The phase of the object, not its quality.

Whether this object carries a source line of its own.

Searches label, summary, topics, conditions and statement texts. The ordering is the same heuristic as the search API; build on the identifiers, not on the ranking.

Time

Two axes. Legal time is what applied; knowledge time is what we had published by then. Leaving them empty means the default of this release.

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Objects

12 objects in this selection.

  1. StandardGuidancev1.0.02 relations

    EN 18286:2026: quality management system for EU AI Act regulatory purposes

    praxikon:eu:ai-act:standard:standard-en-18286-quality-management-system

    The first completed European standard under the AI Act standardisation request: the quality management system that Article 17 requires from providers of high-risk AI systems.

    Hangs off: Article 17: quality management system

    Placed against the official source | standards

  2. StandardGuidancev1.0.03 relations

    EN ISO/IEC 42001: artificial intelligence management system

    praxikon:eu:ai-act:standard:standard-en-iso-iec-42001-ai-management-system

    The certifiable organisation-level AI management system, a European standard since 2026, but not a harmonised standard under the AI Act.

    Hangs off: Article 17: quality management system

    Placed against the official source | standards

  3. StandardGuidancev1.0.03 relations

    ISO/IEC 12792: transparency taxonomy of AI systems

    praxikon:eu:ai-act:standard:standard-iso-iec-12792-transparency-taxonomy

    The international taxonomy of transparency information elements, usable as a checklist for the Article 13 instructions for use.

    Hangs off: Article 13: transparency towards deployers

    Placed against the official source | standards

  4. StandardGuidancev1.0.03 relations

    ISO/IEC 23894: guidance on risk management for AI

    praxikon:eu:ai-act:standard:standard-iso-iec-23894-ai-risk-management-guidance

    The international guidance for AI-specific risk management, usable as an interim structure while prEN 18228 remains in draft.

    Hangs off: Article 9: risk management system

    Placed against the official source | standards

  5. StandardGuidancev1.0.02 relations

    ISO/IEC 24029 series: assessment of the robustness of neural networks

    praxikon:eu:ai-act:standard:standard-iso-iec-24029-robustness-neural-networks

    The international series making neural network robustness testable, usable as methodology under Article 15 while prEN 18229-2 remains in draft.

    Hangs off: Article 15: accuracy, robustness and cybersecurity

    Placed against the official source | standards

  6. StandardGuidancev1.0.02 relations

    ISO/IEC 5259 series: data quality for analytics and machine learning

    praxikon:eu:ai-act:standard:standard-iso-iec-5259-data-quality-machine-learning

    The five-part international series on data quality, in practice the most usable structure for the Article 10 data governance dossier.

    Hangs off: Article 10: data and data governance

    Placed against the official source | standards

  7. StandardGuidancev1.0.02 relations

    prEN 18228: AI risk management for high-risk systems

    praxikon:eu:ai-act:standard:standard-pren-18228-ai-risk-management

    The draft European standard filling in the Article 9 risk management system, built on a product-safety logic rather than an enterprise-risk logic.

    Hangs off: Article 9: risk management system

    Placed against the official source | standards

  8. StandardGuidancev1.0.03 relations

    prEN 18229-1: AI trustworthiness framework part 1, logging

    praxikon:eu:ai-act:standard:standard-pren-18229-1-logging

    The draft European standard for the automatic event recording that Article 12 requires of high-risk AI systems.

    Hangs off: Article 12: logging and traceability

    Placed against the official source | standards

  9. StandardGuidancev1.0.02 relations

    prEN 18229-2: AI trustworthiness framework part 2, accuracy and robustness

    praxikon:eu:ai-act:standard:standard-pren-18229-2-accuracy-robustness

    The draft European standard meant to make the appropriate level of accuracy and robustness under Article 15 measurable.

    Hangs off: Article 15: accuracy, robustness and cybersecurity

    Placed against the official source | standards

  10. StandardGuidancev1.0.03 relations

    prEN 18229-3: AI trustworthiness framework part 3, transparency and human oversight

    praxikon:eu:ai-act:standard:standard-pren-18229-3-transparency-human-oversight

    The draft European standard for the transparency and oversight requirements of Articles 13 and 14 for high-risk AI systems.

    Hangs off: Article 14: human oversight

    Placed against the official source | standards

  11. StandardGuidancev1.0.02 relations

    prEN 18284: quality and governance of datasets in AI

    praxikon:eu:ai-act:standard:standard-pren-18284-dataset-quality-governance

    The draft European standard operationalising the Article 10 data governance requirements for training, validation and testing data.

    Hangs off: Article 10: data and data governance

    Placed against the official source | standards

  12. StandardGuidancev1.0.03 relations

    prEN 18285: conformity assessment framework for AI systems

    praxikon:eu:ai-act:standard:standard-pren-18285-conformity-assessment-framework

    The draft European standard operationalising the conformity assessment procedure of Article 43 and Annex VII.

    Hangs off: Articles 43-49: conformity assessment, CE and registration

    Placed against the official source | standards

What this explorer does not do

  • There is no article object. The article sits as a locator on the citations of an obligation, as free text. Filtering on the obligation is the same question, and the data does carry that.
  • No object carries an Annex III domain or use case. A selection of the form "systems for this purpose" cannot be expressed here.
  • A locator hangs on a statement in the data, not on a relation. The source next to a path is the source anchor of the object carrying the relation, not proof of that one connection.
  • The split between duty holder and affected actor exists on obligations only. On every other type the actor list is still one undifferentiated list.
  • The graph stores no inverse relations. The incoming direction is computed here over the same release and adds nothing to the data.
  • Topics are free slugs, not a taxonomy with objects, labels or a hierarchy of their own.

The same selection as data

The explorer and the API read the same object against the same two time axes. What you see here can be fetched with the same parameters.

Open this selection as JSONRead the methodology