Propagation of AI-Generated Misinformation and the Ethical Imperatives for Artificial Intelligence Research: A Critical Synthesis

The rapid advancement of generative artificial intelligence (AI) has reshaped the global information environment, enabling the production and circulation of increasingly convincing synthetic media. This article provides a critical synthesis of two interrelated challenges: the mechanisms by which AI-generated misinformation propagates through digital platforms, and the ethical frameworks needed to guide responsible AI research. Through a structured review of the literature published between 2021 and 2026, we identify four core propagation dynamics, algorithmic amplification, cognitive exploitation, multimodal convergence, and networked dissemination, and examine the technical and socio-behavioral obstacles that undermine current detection efforts. Concurrently, we evaluate emerging ethical guidelines from transnational bodies, academic publishers, and institutional consortia, revealing persistent tensions between transparency and security, innovation and precaution, and universal norms versus local contexts. Our analysis demonstrates that purely technical countermeasures remain insufficient; sustainable mitigation requires embedding ethical deliberation throughout the research lifecycle, from prospective harm assessment to post-publication accountability. We argue that the twin crises of synthetic misinformation and eroding research integrity can be addressed only through interdisciplinary collaboration, strengthened institutional oversight, and a commitment to ethics-by-design. The article concludes with actionable recommendations for researchers, publishers, and policymakers aimed at preserving scholarly credibility and public trust in an era of artificial media.