Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik’s Cube

Artificial intelligence (AI) has the potential of transforming education with its power of uncovering insights from massive data about student learning patterns. However, ethical and trustworthy concerns about AI have been raised but are unsolved. Prominent ethical issues in high school AI education include data privacy, information leakage, abusive language, and fairness. This paper describes technological components that were built to address ethical and trustworthy concerns in a multi-modal collaborative platform (called ALLURE chatbot) for high school students to collaborate with AI to solve the Rubik’s cube. In data privacy, we want to ensure that the informed consent of children or parents, and teachers, are at the center of any data that is managed. Since children are involved, language, whether textual, audio or visual, is acceptable both from users and AI and the system is able to steer interaction away from dangerous situations. In information management, we also want to ensure that the system, while learning to improve over time, does not leak information about users from one group to another.