African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda
<|reference_start|>African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda: In light of prominent discourse around the negative implications of generative AI, an emerging area of research is investigating the current and estimated impacts of AI-generated propaganda on African citizens participating in elections. Throughout Africa, there have already been suspected cases of AI-generated propaganda influencing electoral outcomes or precipitating coups in countries like Nigeria, Burkina Faso, and Gabon, underscoring the need for comprehensive research in this domain. This paper aims to highlight the risks associated with the spread of generative AI-driven disinformation within Africa while concurrently examining the roles of government, civil society, academia, and the general public in the responsible development, practical use, and robust governance of AI. To understand how African governments might effectively counteract the impact of AI-generated propaganda, this paper presents case studies illustrating the current usage of generative AI for election-related propaganda in Africa. Subsequently, this paper discusses efforts by fact-checking organisations to mitigate the negative impacts of disinformation, explores the potential for new initiatives to actively engage citizens in literacy efforts to combat disinformation spread, and advocates for increased governmental regulatory measures. Overall, this research seeks to increase comprehension of the potential ramifications of AI-generated propaganda on democratic processes within Africa and propose actionable strategies for stakeholders to address these multifaceted challenges.<|reference_end|>
@article{okolo2024african,
    title={African Democracy in the Era of Generative Disinformation: Challenges
  and Countermeasures against AI-Generated Propaganda},
    author={Chinasa T. Okolo},
    journal={arXiv preprint arXiv:2407.07695},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.07695},
    primaryClass={cs.CY cs.AI}
}