Krishna AR, Josekutty J, Vilasan AA, Gokul K, Jayachandran AJ, Johnson JE, Saleem Kallan M, Sajeev S (2026)
Publication Type: Conference contribution
Publication year: 2026
Publisher: Association for Computing Machinery, Inc
Pages Range: 1-7
Conference Proceedings Title: HCAI-ep 2026 - Proceedings of the 2026 Conference on Human Centered Artificial Intelligence - Education and Practice
Event location: Kildare, IRL
ISBN: 9798400721533
Students and first-time developers building AI prototypes often struggle to translate high-level ethical principles into concrete actions relevant to their specific projects. This paper introduces a Guided AI Ethics Assessment, an interactive educational tool designed to bridge this gap. Through a guided questionnaire enriched with contextual hints, real-world case studies, and analogies, the tool helps students systematically analyze the purpose, data sources, and capabilities of their project. A key objective of this process is to ensure that high-risk and critical considerations, such as those outlined in the EU AI Act, are not overlooked. Based on their responses, the system employs a "rules-as-data"architecture to deterministically generate two key educational artifacts: a prioritized Risk Assessment Report that explains the potential issues identified during the self-assessment, and a transparent Decision Trace that shows the student how their design choices led to these specific recommendations.By transforming abstract principles into a structured, reflective dialogue, our tool makes responsible AI development a tangible, reviewable, and teachable component of AI education. We present the tool's pedagogical design, its rigorous evaluation against a diverse set of synthetic use cases, and a workflow for classroom integration, offering a practical approach to embedding ethical deliberation into the training of the next generation of AI builders.
APA:
Krishna, A.R., Josekutty, J., Vilasan, A.A., Gokul, K., Jayachandran, A.J., Johnson, J.E.,... Sajeev, S. (2026). A Guided Ethics Assessment for Early Prototypes in AI Education. In HCAI-ep 2026 - Proceedings of the 2026 Conference on Human Centered Artificial Intelligence - Education and Practice (pp. 1-7). Kildare, IRL: Association for Computing Machinery, Inc.
MLA:
Krishna, Abhiram Radha, et al. "A Guided Ethics Assessment for Early Prototypes in AI Education." Proceedings of the 3rd International Conference on Human-Centred AI - Education and Practice, HCAI-ep 2026, Kildare, IRL Association for Computing Machinery, Inc, 2026. 1-7.
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