Navigating Dilemmas: A Multimodal Generative AI Framework for Immersive Role-Playing

As data-driven technologies increasingly permeate every aspect of society, understanding data ethics has become essential for students navigating this complex landscape. Traditional methods of teaching ethics often rely on theoretical frameworks that may not fully engage students or prepare them for real-world dilemmas. Role play serves as an effective pedagogical tool in this context, encouraging active participation, critical thinking, and collaborative problem-solving. However, conventional role play has limitations, such as static scenarios, resource intensity, lack of realism, and insufficient representation of diverse perspectives, which can hinder effective learning in complex subjects like data ethics.This proposal introduces an innovative approach to address these challenges by integrating Multimodal Large Language Models (MLLMs) and Visual Generative Models (VGMs) into role play-based learning. MLLMs will generate dynamic, context-rich scenarios and facilitate character development and dialogue, enabling students to explore diverse perspectives and outcomes in ethical dilemmas. VGMs will enhance immersion by creating visually compelling representations of characters and settings, fostering a more engaging and realistic learning environment.The framework will feature a series of role-play scenarios addressing core data ethics issues, including data privacy, transparency, ownership, and algorithmic fairness. It will employ an "AI Scenario Generation – Role Practice – Impact Tracking" loop, where students interact with evolving, multimodal scenarios enriched with text, images, and video. These scenarios will adapt in real time based on student decisions, ensuring relevance and high engagement while encouraging exploration of the consequences of their actions. This approach emphasizes timely and informed decision-making in complex, fast-paced environments while cultivating ethical reasoning, teamwork, and problem-solving skills.By leveraging these advanced technologies, this framework transforms role play into a powerful and scalable tool for teaching data ethics. Designed for Generation Z students—digital natives who thrive on interactive, technology-driven, and experiential learning—this approach promotes active engagement and critical thinking. Beyond data ethics, the framework is adaptable to other disciplines that require real-time decision-making. This innovative methodology aims to deepen students' understanding of data ethics, foster meaningful discussions, and promote responsible data practices, ultimately shaping a more ethically aware generation of technology professionals.