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. 2021 May 13:4:637532.
doi: 10.3389/frai.2021.637532. eCollection 2021.

A Perspective on Building Ethical Datasets for Children's Conversational Agents

Jakki O Bailey  1 , Barkha Patel  1 , Danna Gurari  1
Affiliations

A Perspective on Building Ethical Datasets for Children's Conversational Agents

Jakki O Bailey et al. Front Artif Intell. .

Abstract

Artificial intelligence (AI)-powered technologies are becoming an integral part of youth's environments, impacting how they socialize and learn. Children (12 years of age and younger) often interact with AI through conversational agents (e.g., Siri and Alexa) that they speak with to receive information about the world. Conversational agents can mimic human social interactions, and it is important to develop socially intelligent agents appropriate for younger populations. Yet it is often unclear what data are curated to power many of these systems. This article applies a sociocultural developmental approach to examine child-centric intelligent conversational agents, including an overview of how children's development influences their social learning in the world and how that relates to AI. Examples are presented that reflect potential data types available for training AI models to generate children's conversational agents' speech. The ethical implications for building different datasets and training models using them are discussed as well as future directions for the use of social AI-driven technology for children.

Keywords: artificial intelligence; children; conversational agents; datasets; ethic.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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