The false promise of faster horses: AI and RJ in the higher education classroom

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Author(s): Ceema Samimi, Treden Wagoner

To cite this article: Samimi, C., Wagoner , T. ( 2025 ) . “ The false promise of faster horses: AI and RJ in the higher educat ion classroom ”, Internet Journal of Restorat ive Just ice . ISSN ( online): 2056 – 2985

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Abstract

This paper explores the multifaceted role artificial intelligence (AI) can play in restorative justice (RJ) education, addressing both its potential benefits and ethical challenges. As AI technologies become increasingly integrated into educational settings, they offer innovative ways to facilitate learning, enhance communication, and foster empathy among students. By providing personalized reflection prompts, generating tailored discussion questions, and simulating real-life conflict scenarios, AI can create a more engaging and reflective learning environment. However, the use of AI also raises significant ethical concerns, including environmental impacts, biases in large language models, and labor issues. This paper argues that AI is not the “faster horse” that some may fear or hope it to be. Rather, we advocate for a balanced approach that leverages AI’s capabilities to enhance RJ education while addressing its ethical implications. We also offer strategies for using AI in teaching restorative justice. By prioritizing equitable practices and ensuring that technology complements rather than replaces human connection, educators can harness AI to enrich restorative justice practices, ultimately fostering a deeper understanding of social systems and promoting healthier community dynamics.

Keywords: Artificial Intelligence, Restorative Justice, Higher Education, Simulation, Restorative Facilitation

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