Imagine a future where the very tools designed to help us understand the world, like AI chatbots, could inadvertently lead us astray on critical issues like climate change. This isn’t a dystopian fantasy, but a real concern that University College Dublin (UCD) is tackling head-on with an exciting new opportunity: a fully funded, four-year PhD studentship. This isn’t just any PhD; it’s a deep dive into the fascinating, and sometimes troubling, relationship between generative AI, the spread of climate change misinformation, and how all of this impacts our human minds and behaviors. Starting in September 2026, this interdisciplinary project, backed by Research Ireland, offers a unique chance to be at the forefront of understanding how these powerful technologies shape our understanding of the planet and our willingness to protect it. It’s a call to action for curious minds eager to unravel the complexities of our digital age and contribute to a more informed future.
At its heart, this doctoral project is about understanding the subtle, yet powerful, influence of AI on public discourse, especially when it comes to a topic as contentious and crucial as climate change. Think about how many people now turn to AI chatbots like ChatGPT or Google’s Gemini for quick answers on complex subjects. The concern here is that if these highly sophisticated AI systems have been trained on data that contains misinformation, they could unknowingly perpetuate those falsehoods, slowly reshaping users’ beliefs without anyone even realizing it. The research will meticulously investigate two core areas: first, it will scrutinize the “truthfulness” of climate information generated by AI – how accurate and reliable is it really? And second, and perhaps even more fascinating, it will explore the psychological and behavioral ripple effects on us, humans, when we interact with AI-generated misinformation. It’s like peeking behind the digital curtain to see how these interactions subtly, or not so subtly, alter our perceptions and actions.
One of the project’s main goals is to hold a scientific magnifying glass to how these advanced AI models, known as Large Language Models (LLMs), respond when asked about climate change. Imagine asking an AI chatbot, “The climate has always been changing, so how can humans have had anything to do with it?” This project will scrutinize whether these AIs simply repeat common misleading narratives, agree with inaccurate claims, or even reinforce misinformation during seemingly natural conversations. It’s about uncovering if the “training data” – the vast ocean of information these AIs learn from – is “polluted” with misinformation, leading them to produce biased or unreliable answers. This isn’t just academic curiosity; it’s a crucial step in understanding whether these powerful tools could unintentionally amplify the very climate skepticism we’re trying to combat. It’s about building a defense mechanism against unwitting digital pollution of our understanding.
Beyond just analyzing what the AI says, this project delves into the human element. The second major objective is to measure the tangible impact of AI-generated misinformation on our beliefs and decisions. Researchers will engage human participants in controlled conversations with simulated AI chatbots. These chatbots will be designed to deliver responses that vary in their accuracy, inherent bias, persuasiveness, and how they frame information. The goal is to see how these interactions affect our fundamental beliefs about anthropogenic (human-caused) climate change, our willingness to take pro-environmental actions (like recycling more or reducing energy consumption), our trust in information generated by AI, and even how well we recognize and respond to misinformation. The project will also compare AI-generated misinformation with other common formats, like social media posts or plain text, to determine if AI’s unique conversational style makes its misleading content even more persuasive or influential. It’s about understanding if AI misinformation is a new, more potent breed of deceit.
But it’s not all about identifying the problems; this research also has an optimistic, proactive side. The project will explore whether slight adjustments in chatbot responses could gently “nudge” users towards more environmentally responsible behaviors. Imagine an AI not just providing information, but subtly guiding you toward sustainable lifestyle choices or increasing your environmental awareness through clever conversational design. This innovative aspect of the research combines psychology, cognitive science, artificial intelligence, behavioral economics, and data analysis – a rich blend of disciplines all focused on a rapidly growing and vital global research area. It’s about harnessing the power of AI not just to inform, but to inspire and motivate positive change. This PhD is an opportunity to contribute to a future where AI is not just smart, but also a responsible and beneficial force for our planet.
This phenomenal opportunity comes with robust support, making it an incredibly attractive prospect for aspiring researchers. The successful candidate will receive a generous tax-free annual stipend of €25,000 for four years, providing significant financial stability. Beyond the stipend, the funding covers conference travel, research activities, and essential skills development. For EU students, tuition fees are automatically fully covered, removing a common financial barrier. Non-EU students needn’t despair, as University College Dublin may also offer a tuition fee waiver, demonstrating their commitment to attracting top talent from around the globe. This isn’t just about individual research; it’s part of a structured national doctoral training program in data science and AI. PhD candidates will engage in a vibrant community, participating in hackathons, research seminars, entrepreneurship training, ethics workshops, and career development programs. This cohort-based approach ensures a rich environment for both academic and professional growth, equipping graduates with a diverse toolkit of skills for various career paths. If you have an honors degree in Psychology or a related field, strong quantitative skills, and a passion for this critical area, especially with experience in cognitive psychology or working with LLMs, this could be your chance to make a profound difference. The application deadline is 5:00 PM on June 2, 2026, so aspiring researchers are encouraged to reach out to primary supervisor Ciara Greene soon to express their interest and learn more about shaping AI’s role in our environmental future.