AI-Generated Misinformation: Detection and Mitigation Strategies

The rapid advancement of generative artificial intelligence (AI) has introduced unprecedented challenges in the digital information landscape. AI-generated misinformation, encompassing fabricated text, deepfake images, synthetic audio, and manipulated vide os, poses significant threats to democracy, security, and social trust. This paper reviews the nature and risks of AI -generated misinformation while examining computational methodologies for its detection and mitigation. Emerging solutions include linguist ic and multimodal detection, watermarking, provenance tracking, and blockchain -based verification. By integrating technical detection methods with governance and awareness strategies, societies can mitigate the dangers of synthetic disinformation while pre serving the benefits of generative AI.