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Artificial Intelligence and Voter Education in Zimbabwe: Perceptions, Impact and Integration Challenges

Domaine:

digital infrastructure

Type de record:

paper
Créateur:
SimRapTer
Éditeur:
Git
Hôte:
This study investigates the impact, challenges and opportunities of integrating AI-based voter education in electoral processes in Zimbabwe, where turnout has averaged 50%. The study further examined how AI-powered tools can increase accessibility, transparency and engagement, addressing challenges like voter apathy and misinformation. Using qualitative research methods, including interviews and focus group discussions with Zimbabwean electoral experts, this study explored effective integration strategies for AI-powered voter education into existing programs and electoral processes. The study provides insights into the potential impact of AI-powered voter education on electoral participation. Findings highlight AI's role in enhancing existing voter education programs and its advantages in the electoral processes. The study contributes to the literature on technology in democratic governance, offering practical recommendations for policymakers and electoral authorities to strengthen electoral processes. The study recommends investing in digital infrastructure and literacy programs to address the digital divide, ensuring equitable access to AI-powered voter education

Visit

doi.org

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