← Back to the public AI accountability monitorSource-backed procedure dossier

Gefahr von durch Künstliche Intelligenz hergestelltem kinderpornographischen Material im Internet

Minor interpellationAnswered07 May 2024dip:vorgang:310885

This dossier documents a parliamentary procedure and its exactly published DIP relationships. It assesses neither the quality nor the effectiveness of parliamentary scrutiny.

relation = source-backed
DIP proceduredip:vorgang:310885
Election period20
exact answer pairs1
exactly linked systems0
Procedure context

What the source publishes about this procedure.

Initiative, subjects, AI terms and status come from the normalized DIP cohort. Empty fields remain empty.

Initiative

  • Fraktion der CDU/CSU

Subjects

  • Gesellschaftspolitik, soziale Gruppen
  • Medien, Kommunikation und Informationstechnik
  • Recht

observed AI terms

  • Künstliche Intelligenz

responding ministries

  • Bundesministerium des Innern und für Heimat
Answer state

Question and answer are evidenced separately.

Duration is calculated exclusively between the published dates of exactly linked question and answer records.

25days
Question12 April 2024dip:drucksache:273499
Answer07 May 2024dip:drucksache:273904
Original evidence

Every published identifier remains inspectable.

Documents and positions appear only with their public DIP identifier. The source link opens the corresponding original record.

DIP position

Gefahr von durch Künstliche Intelligenz hergestelltem kinderpornographischen Material im Internet

ID
dip:vorgangsposition:652294
Date
12 April 2024
Open DIP evidence ↗
DIP position

Gefahr von durch Künstliche Intelligenz hergestelltem kinderpornographischen Material im Internet

ID
dip:vorgangsposition:653626
Date
07 May 2024
Open DIP evidence ↗
Open original DIP procedure ↗
Public AI systems

No exact system link observed.

A similar name, the same ministry or a shared topic is never sufficient for a system-to-procedure link.

Method boundary

How to read this dossier.

The dossier is a deterministic projection of public DIP and Systempass data. It publishes no uncertain name links and uses no generative AI.

DIP ID = procedure · explicit relationship = answer edge

Not observed means neither zero nor absent in reality.

20 July 2026

Need a defensible overview for your field?

We build source-backed monitoring products with stable identifiers, visible boundaries and traceable history.

Discuss a data projectBack to the public AI accountability monitor