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Addressing AI Bias in News Reporting: Challenges and Strategies for African Newsrooms

Type de record:

paper
Créateur:
Onuh, Frank
Éditeur:
Zenodo
Hôte:avatar

This presentation explores the intersection of artificial intelligence and journalism in Africa. This comprehensive work examines the types of AI biases affecting media narratives, such as algorithmic and data biases, and their impact on public trust and representation. It provides actionable strategies for mitigating these biases, including ethical AI usage, improving media literacy, and fostering institutional collaboration. Featuring case studies, practical prompts for AI bias analysis, and a forward-looking perspective, this research is an essential resource for understanding and improving AI's role in African media. Keywords: AI bias, African journalism, media ethics, algorithmic fairness, newsroom challenges, AI strategies in Africa.