Designing for Constructive Civic Communication: A Framework for Human-AI Collaboration in Community Engagement Processes
Cassandra Overney

TL;DR
This paper proposes a framework for integrating AI into civic communication to enhance community engagement, emphasizing design considerations that preserve human agency and trust while leveraging AI's capabilities.
Contribution
It introduces a novel framework for human-AI collaboration in civic communication, focusing on maintaining democratic values and control in community engagement processes.
Findings
Identifies key communication pathways for AI integration
Proposes design considerations to safeguard human agency
Highlights potential of AI to improve inclusivity and understanding
Abstract
Community engagement processes form a critical foundation of democratic governance, yet frequently struggle with resource constraints, sensemaking challenges, and barriers to inclusive participation. These processes rely on constructive communication between public leaders and community organizations characterized by understanding, trust, respect, legitimacy, and agency. As artificial intelligence (AI) technologies become increasingly integrated into civic contexts, they offer promising capabilities to streamline resource-intensive workflows, reveal new insights in community feedback, translate complex information into accessible formats, and facilitate reflection across social divides. However, these same systems risk undermining democratic processes through accuracy issues, transparency gaps, bias amplification, and threats to human agency. In this paper, we examine how human-AI…
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Taxonomy
TopicsInnovative Human-Technology Interaction · Ethics and Social Impacts of AI · Social Media and Politics
