An Approach for an AI-based Objection Management in The Context of Public Participation
  • Metaadatok
Tartalom: http://hdl.handle.net/10890/57725
Archívum: Műegyetem Digitális Archívum
Gyűjtemény: 1. Tudományos közlemények, publikációk
Konferenciák gyűjteményei
Creative Construction Conference
Creative Construction Conference, 2024
Cím:
An Approach for an AI-based Objection Management in The Context of Public Participation
Létrehozó:
Matthei, Jonathan
Bohnenkamp, Peter
Klemt-Albert, Katharina
Dátum:
2024-10-07T09:07:03Z
2024-10-07T09:07:03Z
2024
Tartalmi leírás:
In the face of increasing rejection and criticism from the public towards planned infrastructure projects and transformation processes, authorities are expanding the use of e-participation platforms. These digital tools promise enhanced influence and transparency. The growing adoption of such platforms is resulting in a rise in the number of citizens wishing to actively participate in shaping infrastructure measures. Simultaneously, decision-makers are confronted with the challenge of deriving meaningful insights from the plethora of contributions. In this context, the issue of information overload can be identified, stemming from the growing availability of digital technologies. The development described requires the authorities to have the skills and resources to process complex objections. However, many public administrations lack the appropriate tools for analysing and structuring large text documents. AI approaches, particularly in the field of natural language processing (NLP), offer promising solutions to meet these challenges. Therefore, this study examines how AI can be used in the context of public participation to improve objection management. Based on a systematic literature review, a qualitative study with employees of German public administrations identifies optimization possibilities in the context of objection management. These are recorded as requirements. The subsequently developed use cases provide concrete starting points on how objection processing can be significantly accelerated. As a result, time and costs can be saved. The developed AI-based approach for objection management is now poised for integration into the ongoing BIM4People research initiative, backed by funding from the Federal Ministry for Digital and Transport in Germany. Subsequently, it will undergo rigorous testing using past objections to determine its efficacy and practical viability
Nyelv:
angol
Típus:
könyvfejezet
Formátum:
application/pdf
Azonosító: