Cover art for AI-Supported Objection Management in Public Participation: Concept, Prototype and Evaluation in the Context of Infrastructure Projects
Article · Technology

AI-Supported Objection Management in Public Participation: Concept, Prototype and Evaluation in the Context of Infrastructure Projects

Written by Jonathan Matthei, Johannes Maas, Maurice Wischum, Sven Mackenbach, Katharina Klemt-Albert

49:56Walter26 tracks

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Discover how large language models are transforming administrative workflows by streamlining public objection processing in major infrastructure projects. This study explores the potential and practical challenges of integrating AI to enhance efficiency while maintaining human oversight. From https://www.mdpi.com/2571-5577/9/6/107. 2026. CCBY 4.0. Audio narration of original text.

#artificial intelligence#infrastructure#public participation#large language models#governance#automation
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Contents

  1. 1Abstract1:42
  2. 21. Introduction0:02
  3. 31.1. Initial Situation2:57
  4. 41.2. Research Aim and Procedure1:32
  5. 52. Theoretical Foundation0:02
  6. 62.1. Definition, Background, and Classification of Artificial Intelligence3:00
  7. 72.2. Background of Large Language Models and Retrieval-Augmented Generation2:49
  8. 82.3. Background on Vector Databases and the Embedding Process2:37
  9. 92.4. Background to Prompt Engineering1:15
  10. 103. Use Cases for an AI-Supported Objection Management System3:37
  11. 113.1. Thematic Pre-Sorting0:34
  12. 123.2. Text Summary0:34
  13. 133.3. Text Similarity Check0:37
  14. 143.4. Response Text Generation0:43
  15. 154. AI-Supported Objection Management System0:47
  16. 164.1. AI-Supported Distribution and Categorization of Objections0:05
  17. 174.1.1. Architecture2:41
  18. 184.1.2. Prototypical Implementation0:53
  19. 194.2. Generation of Suggested Responses0:04
  20. 204.2.1. Architecture1:49
  21. 214.2.2. Prototypical Implementation1:05
  22. 224.3. User Interface1:25
  23. 235. Validation0:02
  24. 245.1. Methodology4:08
  25. 255.2. Validation Results3:45
  26. 266. Summary, Discussion, and Outlook10:55