The proliferation of disinformation across digital platforms is becoming a critical concern, threatening the integrity of public discourse, electoral processes, and societal trust. This challenge has intensified with the rapid advancement of Generative Artificial Intelligence technologies, which have enabled the creation of highly realistic synthetic text, audio, and visual content at scale. Traditional detection mechanisms and protective measures appear increasingly inadequate against such sophisticated threats. In response, the research community has accelerated efforts to develop AI-driven countermeasures, drawing on advances in machine learning, natural language processing, computer vision, and network analysis. This volume surveys the current state of research at the intersection of Artificial Intelligence and disinformation, with particular emphasis on algorithmic detection, mitigation strategies, and the broader implications of automated systems in managing information integrity.