AIStories: Exploring Human–Artificial Intelligence Collaboration Through Narratives and Games

Today, AI technologies have expanded rapidly across almost every domain of human activity. In particular, chatbots based on Large Language Models (LLMs) have become increasingly accessible to the general public. it is important to take into account the benefits and the risks that individuals and society are facing due to the emergence of LLMs. Among the risks are overreliance or improper use, sycophancy (or chatbots’ obsequious behavior that can exacerbate users’ biased reasoning), generation and spread of inaccurate information, and the lack of a shared ethical framework regarding implementation. A particularly promising avenue for advancing human-AI collaboration lies in the domain of narrative technologies. use. Engaging with AI within the testing ground of interactive narratives (both co-creating and co-playing them) allows users to develop understanding of LLM limitations in dealing with contextual information, perspective taking, meaning attribution and intention recognition. Formative resources for AI implementation should privilege hands-on experiences that test chatbots performance with decision making within undetermined contexts.