Automatic sequencing of the voting order on amendments

Bill drafting and amendments

Italy - Senate

Use case ID: 037

Author: Senate of Italy

Date: 12 June 2024

Objective:

Determine the precise and most efficient order for voting on amendments in the chamber.

Actors:

  • Senate documentalists

Prerequisites:

  • Basic knowledge of computer tools
  • Domain-specific knowledge of amendments and the rules governing the voting order

Scenario:

  1. Senate documentalists select a set of amendments pertaining to a text under discussion.
  2. The documentalists use an AI application to calculate the voting order based on predefined rules and criteria.
  3. The documentalists review the calculated voting order and make minimal manual adjustments as necessary, taking into account political evaluations and considerations.
  4. The finalized voting order is prepared for presentation and use in the chamber.

Alternate flows:

  • If the initial calculation does not meet expectations, documentalists can adjust the parameters or criteria and recalculate the voting order.

Expected results:

  • Amendments are sequenced according to the anticipated voting order in the Senate.
  • The calculation process is precise and efficient, minimizing the need for manual adjustments.

Potential challenges:

  • Handling poorly formatted amendments that may disrupt the calculation process
  • Managing an abnormal number of amendments, which could overwhelm the system
  • Preventing the AI algorithms from introducing hallucinations or inaccuracies in the voting order

Data requirements:

  • The full set of amendments to be sequenced

Integrations with other systems:

  • Potential future integration with legislative management systems for streamlined processing and retrieval of amendments

Success metrics:

  • Minimal number of manual adjustments required to finalize the voting order
  • High accuracy and efficiency in the calculated voting order
  • User satisfaction with the precision and reliability of the AI-generated voting order

 

The Use cases for AI in parliaments collection is published by the IPU’s Centre for Innovation in Parliament as part of the Parliamentary Data Science Hub’s project to create guidelines for AI governance in parliaments.

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