Parenting Journal · Volume 3 · Issue 1 · Licensed source edition
A Perspective on Building Ethical Datasets for Children's Conversational Agents
Originally published 2021-05-13 · Frontiers in Artificial Intelligence
Frontiers Media SA · DOI 10.3389/frai.2021.637532 ↗
AI / system type
Children’s conversational AI / dataset-ethics analysis
Family implicationsDesign, ethics, stakeholder or technical evidence with child/family implications; household benefits are not assumed.
The AI connection
Examines datasets and models powering AI-driven conversational agents for children, including voice-assistant-style systems.
Why this reading matters
Addresses upstream choices that shape children’s AI experiences before a family ever interacts with a finished product.
Editorial reading guide · Respect
What should we ask about the data behind an AI that talks with children?
The paper asks whose speech and social assumptions train child-facing AI, connecting respect with consent, developmental fit and representation in datasets.
Study context
Examples of data and design choices for children’s conversational agents; no new sample
Age / stage: Children aged 12 years and younger
Read with three questions
- Which child-development considerations affect conversational-agent design?
- What ethical risks accompany the proposed training-data sources?
- Which recommendations are theoretical rather than demonstrated safeguards?
Keep the limits in view
This is a substantive perspective, not an empirical safety or effectiveness evaluation. Dataset examples and technology context are time-specific, and proposed safeguards need testing.
The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.
Opening the verified paper and agent…
Checking the article identity, license record, and saved source text.
Open the repository recordAttribution & reuse
Follow the original.
Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
Jakki O Bailey; Barkha Patel; Danna Gurari (2021). A Perspective on Building Ethical Datasets for Children's Conversational Agents Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2021.637532
Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.