However, Goyal also points out potential challenges in AI implementation, including data security and compliance concerns, ethical use of AI and public trust, data quality and availability, skill and talent shortages, and funding and budget constraints. She suggests a human-centric approach to mitigate these challenges, such as conducting algorithmic impact assessments, establishing transparent practices, improving data quality, developing AI expertise within existing staff, and starting with smaller, less risky AI initiatives.
Key takeaways:
- AI can help government agencies improve citizen engagement by tailoring communication to meet citizens where they are, automating slow or outdated processes, distilling complex information into digestible formats, and detecting fraud and abuse.
- Challenges in AI implementation include data security and compliance concerns, ethical use of AI and public trust, data quality and availability, skill and talent shortages, and funding and budget constraints.
- Government agencies can mitigate these challenges by engaging with citizens and stakeholders, establishing transparent practices, improving data quality and readiness, developing AI expertise within existing staff, and starting with smaller, less risky AI initiatives.
- The future of citizen engagement is AI-driven, and agencies can integrate AI into citizen interactions by organizing government datasets, promoting interagency collaboration, utilizing open data sources, and measuring impact through KPIs and performance surveys.