From screens to systems: Why quality content still matters in the age of AI?
This work is licensed under a Сreative Commons Atribiution - NonCommercial 4.0 International (CC BY-NC 4.0)
Abstract
Background. As AI becomes embedded in children’s lives, from entertainment to learning, the role of content is transforming—from passive consumption to active, system-embedded dialogue.
Methods. This article draws from content development experience at Mako Kids and research-led design at KidsAI. It integrates global studies, co-design fieldwork, and expert interviews to analyze how children interpret AI tools and how design influences developmental outcomes.
Results. Findings show that children anthropomorphize AI agents and that system behavior often teaches unintended lessons. Core principles of quality content—including age-appropriateness, holistic thinking, inclusion, safety, play-based learning, and cultural relevance—remain essential in AI-driven environments. Structured prompts, ethical voice design, and scaffolded interactions are key design features in KidsAI’s work, including the development of Olly, KidsAI’s assistant for kids.
Conclusions. Content must now function as ethical infrastructure in sociotechnical systems. Designers must avoid emotional simulation and focus on supporting autonomy, reflection, and cognitive safety. AI should guide—not mimic—human relationships, with clarity and respect.
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