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

Qualifizierung von Lehrkräften im Umgang mit Künstlicher Intelligenz

Minor interpellationAnswered16 October 2025dip:vorgang:326405

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:326405
Election period21
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 AfD

Subjects

  • Bildung und Erziehung
  • Medien, Kommunikation und Informationstechnik

observed AI terms

  • Künstliche Intelligenz

responding ministries

  • Bundesministerium für Bildung, Familie, Senioren, Frauen und Jugend
Answer state

Question and answer are evidenced separately.

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

14days
Question02 October 2025dip:drucksache:281950
Answer16 October 2025dip:drucksache:282382
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

Qualifizierung von Lehrkräften im Umgang mit Künstlicher Intelligenz

ID
dip:vorgangsposition:677647
Date
02 October 2025
Open DIP evidence ↗
DIP position

Qualifizierung von Lehrkräften im Umgang mit Künstlicher Intelligenz

ID
dip:vorgangsposition:678707
Date
16 October 2025
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