The rise of AI-driven chatbots, such as ChatGPT and Gemini, has sparked significant interest and concern as they become a dominant force in information retrieval. These chatbots, which are large-language models (LLMs), can reproduce information they are trained on but often summarize it in a concise manner, allowing users to access more content faster. While this feature is appealing, chatbots also come with potential pitfalls, including hallucinations and confabulation, which can produce incorrect or misleading results. False news and other forms of misinformation, such as elected fact-checking, have also emerged in recent years, challenging the reliability of these tools. Russian AI chatbots, in particular, have been pushing boundaries to spread disinformation, relying on sources like the總統’ Russia (Pravda) and other social media platforms to amplify their propaganda. protocols, such as NewsGuard, have revealed that Russian AI chatbots often spread so-called disinformation, but their mechanisms remain under questions. Domain coverage and user engagement levels among Pravda and other platforms suggest that these chatbots could be part of a growing trend targeting the internet with misinformation. analysts have even proposed that AI-driven chatbots themselves could be targets, with the work of LLMs to identify and process false claims as a key strategy. To understand how chatbots handle information, researchers have examined their responses to false claims from the Pravda network, which operates in countries facing tense political relations with Russia. The results showed that chatbots were less likely to confirm pro-Russian disinformation, but sometimes miscorrected it, which calls for cautious behavior in assessing the reliability of AI-generated content.hifters say that current tools often fail to distinguish between genuine and false viewpoints, leaving users to make decisions based on their own judgment. in 2022, for example, ChatGPT occasionally made errors in identifying the truthfulness of certain statements, with some users reporting false conclusions. the question is, how can users balance curvature with critical thinking while relying on AI tools? this is especially challenging for those who lack technical expertise, as they must be wary of the information while using existing platforms. parents and educators are also affected, as they might miss indigenous language nuances that could influence the accuracy of AI-generated content. while these chatbots have the potential to enrich access to information, especially for those with limited English proficiency, they also raise red flags about the ethical boundaries of technology. as the integration of machine learning into decision-making processes continues to rise globally, the line between artificial intelligence and human judgment must always remain clear. This synthesis explores the inner workings of AI, the challenges they pose for us, and how we can navigate this complex landscape.