Paper Number

2306

Paper Type

CRP

Abstract

E-participation and urban participation platforms have gained significant popularity in addressing thousands of participants. Governments and urban developers utilize them to collect citizens' input to develop user-centric cities and services. Handling these inputs has become increasingly challenging as it requires manual analysis, which is time-consuming, inconsistent, and expensive. Therefore, we examine how to design IT artifacts to support the AI-based analysis of citizens' inputs from e-participation. To do so, we build upon existing literature reviews that highlight the possibilities of AI and apply the design science research paradigm by conducting expert interviews and developing an AI-based prototype, which we evaluated with a focus group. Our initial design theory specifies six design principles addressing the process and AI-based functions to enable the automatized analysis of citizens' inputs, supporting e-participation experts. In addition, we emphasize that further research addressing the explainability of ML, more accurate models, trust, and human-AI interaction is required.

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Jun 14th, 12:00 AM

DESIGNING AI-BASED SYSTEMS TO SUPPORT THE ANALYSIS OF CITIZENS’ INPUTS FROM E-PARTICIPATION

E-participation and urban participation platforms have gained significant popularity in addressing thousands of participants. Governments and urban developers utilize them to collect citizens' input to develop user-centric cities and services. Handling these inputs has become increasingly challenging as it requires manual analysis, which is time-consuming, inconsistent, and expensive. Therefore, we examine how to design IT artifacts to support the AI-based analysis of citizens' inputs from e-participation. To do so, we build upon existing literature reviews that highlight the possibilities of AI and apply the design science research paradigm by conducting expert interviews and developing an AI-based prototype, which we evaluated with a focus group. Our initial design theory specifies six design principles addressing the process and AI-based functions to enable the automatized analysis of citizens' inputs, supporting e-participation experts. In addition, we emphasize that further research addressing the explainability of ML, more accurate models, trust, and human-AI interaction is required.

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