Designing Explainable Conversational Agentic Systems for Guaraní Speakers
Although artificial intelligence (AI) and Human-Computer Interaction (HCI) systems are often presented as universal solutions, their design remains predominantly text-first, underserving primarily oral languages and indigenous communities. This position paper uses Guaraní, an official and widely spoken language of Paraguay, as a case study to argue that language support in AI remains insufficient unless it aligns with lived oral practices. We propose an alternative to the standard "text-to-speech" pipeline, proposing instead an oral-first multi-agent architecture. By decoupling Guaraní natural language understanding from dedicated agents for conversation state and community-led governance...
| Authors | Samantha Adorno, Akshata Kishore Moharir, Ratna Kandala |
|---|---|
| Primary category | cs.CL |
| Published | 5 March 2026 |
| Last updated at source | 20 April 2026 |
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