This groundbreaking research develops the first detector to distinguish between AI-generated and human-written text in Hausa, addressing a critical security gap for low-resource languages.

• Creates novel datasets specifically for Hausa machine text detection
• Achieves high accuracy in identifying AI-generated content
• Demonstrates effective transfer learning techniques for low-resource languages
• Provides a security framework to combat fake news and misinformation

This work is crucial for protecting information integrity in regions where Hausa is spoken, extending AI content detection beyond high-resource languages like English and creating more equitable security tools for global communities.

Who Wrote This? Identifying Machine vs Human-Generated Text in Hausa