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Evidence record 849 · automatically gathered

ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education

The advent of Generative Artificial Intelligence (GenAI), and in particular Large Language Models (LLMs), is reshaping educational practice, while intensifying ethical debate about its adoption. To date, the dominant paradigm remains cloud-based and text-only chatbot: a centralized service that offers limited pedagogical control, weak transparency over knowledge sources, and non-trivial risks for privacy and regulatory compliance. This model also presumes continuous connectivity and recurring AP

Record details

Published: 17 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Privacy · Children & education · Transparency
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (17 June 2026), “ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education,” evidence record 849, https://ethics.ai/record/849 (originally published by arXiv).

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