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

Authors
Kausik Lakkaraju,
Vedant Khandelwal,
Biplav Srivastava,
Forest Agostinelli,
Hengtao Tang,
Prathamjeet Singh,
Dezhi Wu,
Matt Irvin,
Ashish Kundu
Date
Publisher
arXiv
Link
http://arxiv.org/pdf/2402.01760v2
Artificial intelligence (AI) has the potential to transform education with its power of uncovering insights from massive data about student learning patterns. However, ethical and trustworthy concerns of 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, parents, and teachers, is 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 can 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.
Study at a glance
  • Question: How can an AI tutoring chatbot be designed to address safety, privacy, and ethics for high school students?
  • Setting and data: High school students; specific location, dates, and sample size not stated.
  • Method: Description of system design and technological components for an AI tutoring platform.
Why it matters

While AI has the potential to transform education, ethical and trustworthy concerns remain unsolved. In high school AI education, prominent issues include data privacy, information leakage, abusive language, and fairness.

Key findings
  • In a high school Rubik's Cube platform, the AI chatbot steers multimodal interactions away from dangerous situations to ensure acceptable student and AI language.
  • The tutoring tool centers its data management on the informed consent of children, parents, and teachers.
  • The AI system prevents user information from leaking across different groups while continuously learning and improving from data over time.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

What is the application?
Learning – Student Support
Who is the user?
Student
Who age?
High School (9-12)
Why use AI?
Outcomes – Other Academic,
Outcomes – Durable Skills
Study design
Descriptive – Product Development,
Technical – Computational
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