Designing Safe and Engaging AI Experiences for Children: Towards the Definition of Best Practices in UI/UX Design

TL;DR

This paper discusses best practices in UI/UX design for AI systems aimed at children, emphasizing safety, engagement, and ethics, and proposes methodologies for assessing interaction safety and trustworthiness.

Contribution

It introduces a framework for designing safe, engaging, and ethical AI experiences for children, focusing on assessment methodologies and best practices.

Findings

Proposes design strategies for child-centered AI interactions

Develops assessment methodologies for safety and trustworthiness

Fosters responsible AI design practices in the CHI community

Abstract

This workshop proposal focuses on best practices in UI/UX design for AI applications aimed at children, emphasising safety, engagement, and ethics. It aims to address the challenge of measuring the safety, trustworthiness, and reliability of interactions between children and AI systems. Through collaborative discussions, participants will explore effective design strategies and ethical guidelines while developing methodologies for assessing the safety and reliability of AI interactions with children. This proposal seeks to foster responsible and child-centered AI design practices within the CHI community.