Immersion for AI: Immersive Learning with Artificial Intelligence
Leonel Morgado (1, 2) ((1) Universidade Aberta, (2) INESC TEC)

TL;DR
This paper explores how immersive learning theory can redefine AI as an active participant in cognitive ecologies, emphasizing design considerations for AI engagement and evolution beyond static models.
Contribution
It introduces a new perspective on AI as an immersive learner, integrating immersive learning dimensions into AI participation and proposing implications for AI training and collaboration.
Findings
AI can interpret narratives of data evolution
AI can make operational decisions in immersive environments
Design principles for AI engagement in cognitive ecologies
Abstract
This work reflects upon what Immersion can mean from the perspective of an Artificial Intelligence (AI). Applying the lens of immersive learning theory, it seeks to understand whether this new perspective supports ways for AI participation in cognitive ecologies. By treating AI as a participant rather than a tool, it explores what other participants (humans and other AIs) need to consider in environments where AI can meaningfully engage and contribute to the cognitive ecology, and what the implications are for designing such learning environments. Drawing from the three conceptual dimensions of immersion - System, Narrative, and Agency - this work reinterprets AIs in immersive learning contexts. It outlines practical implications for designing learning environments where AIs are surrounded by external digital services, can interpret a narrative of origins, changes, and structural…
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Taxonomy
TopicsEthics and Social Impacts of AI
