RAMOS, F. F.; SIQUEIRA, S. W. M. . Pluriversal Strategies for Human-AI Design: Onto-Technological Reframings inspired by Brazilian Indigenous Knowings and Practices. Addressing Global HCI Challenges at the Time of Geopolitical Tensions through Planetary Thinking and Indigenous @ INTERACT 2025 Workshops, v. 1, p. 1-4, 2025. doi: xxx
Pluriversal Strategies for Human-AI Design: Onto-Technological Reframings inspired by Brazilian Indigenous Knowings and Practices
Authors
Fabiano da Fonseca Ramos (UNIRIO)
Sean Wolfgand Matsui Siqueira (UNIRIO)
Abstract
This position paper presents a pluriversal perspective on human-AI interaction design, grounded in emic approaches inspired by Indigenous methodologies. It contends that contemporary modes of interaction with generative artificial intelligences, such as large language models, are predominantly shaped by epistemological assumptions rooted in Western modernity, which prioritize control, instrumental rationality, and individual autonomy. These dominant assumptions not only restrict the potential uses of AI but also narrow the relational possibilities between humans and intelligent systems. By drawing from Indigenous relational ontologies, oral storytelling traditions, ritualized communication, and ecologies of knowledge, this paper proposes alternative interactional paradigms that foreground interdependence, cosmopolitical awareness, and epistemic pluralism. Such paradigms invite a reimagining of AI not as a tool to be mastered, but as a relational entity embedded in broader networks of meaning, care, and reciprocity. In articulating these possibilities, the paper contributes to the expansion of Human-Computer Interaction (HCI) as a field open to multiple worlds, onto-epistemic commitments, and culturally situated values. Ultimately, it advocates for the development of AI systems that are more ethical, inclusive, and responsive to the diverse ways of knowing and being that characterize a truly pluriversal world.
Palavras-chave:
Generative AI, Pluriverse, Human-AI Interaction, Indigenous Methodologies, Emic strategies, Decolonial HCI
doi: xxx
