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FT: MultiModal Intelligence

PART I — FORESIGHT SNAPSHOT  |  FT: Multimodal Intelligence  |  Fixed Time-Stamped Synthesis


2026 FT: Multimodal Intelligence

Card Type

Future Technology Possibility

Series

Immersive Futures Guild — Vision 2035

Layer

1 — Atomic Foresight Object

Status

Active

Confidence

Medium

Workshop

Circle of Scholars — January 2026

Facilitator

Circle of Scholars Workshop Team

Tags

multimodal-AI  |  intelligence  |  sensing  |  layer1  |  ft

Tally.so Form

https://tally.so/r/ilrn-if-ft-multimod-2026


AI systems capable of processing and generating across text, image, audio, video, and 3D modalities simultaneously are creating new possibilities for immersive learning design. Multimodal intelligence enables richer, more contextually responsive learning environments, but also introduces compounded risks of bias, consent violation, and the inappropriate collapse of distinctions between different types of learner expression.

Key Drivers / Contributing Conditions:

  • Multimodal foundation model capability scaling

  • Real-time multimodal processing hardware development

  • Research on multimodal learning analytics

Tensions Carried Forward to Part II:

  • How should the ethical governance of multimodal data differ from unimodal data governance?

  • Does multimodal AI enable deeper understanding of learning or merely more comprehensive surveillance?

Linked Scenarios / Strands: STRAND: Ethical Multimodal Analytics | STRAND: Human-Centered AI + XR

Ways of Knowing: Tree  ·  Garden  ·  Lantern


PART II — COMMUNITY EVIDENCE & DIALOGUE TRACK  |  FT: Multimodal Intelligence  |  H2 2026 — Living


T

COMMUNITY CONTRIBUTION FORM  —  FT: Multimodal Intelligence

Submit case examples, methodological challenges, cultural perspectives, and proposed evidence criteria via: https://tally.so/r/ilrn-if-ft-multimod-2026


Part II — Scope and Instructions

This section collects community responses, case examples, and challenges to the Part I foresight snapshot above.

It opens July 1, 2026 and undergoes synthesis review in September 2026, November 2026, and January 2027.

Contributions are submitted via the Tally.so form above and appear in the registers below after editorial review.

The Part I text is not modified in response to Part II contributions; it is versioned at the Annual Handoff review.

Contribution categories:  Case Example  |  Methodological Challenge  |  Cultural/Community Perspective  |  Proposed Evidence Criterion

Ways of Knowing accepted:  Tree (evidence)  |  Garden (practice)  |  Lantern (futures)


Tensions Open for Community Response:

  • How should the ethical governance of multimodal data differ from unimodal data governance?

  • Does multimodal AI enable deeper understanding of learning or merely more comprehensive surveillance?


Contributor / Date

Category

Way of Knowing

Contribution Summary

[ Awaiting contributions — form opens July 1, 2026 ]




 

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