What does this research mean for the field?

Effective human agency is determined not just by objectively available options, but by a history-shaped subset of possibilities that have become meaningful and accessible, meaning power and AI systems can influence agency by shaping meaning before a choice is even made. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.ESTABLISHES_NEW_DIRECTION.

What question did this study set out to answer?

To develop a conceptual and measurement architecture defining how prior experience, meaning-giving, and recursive human-AI interactions delimit live possibilities before deliberate choice occurs.

September 8, 20260 citationsOpen Access

Meaning-Shaped Choice Accessibility and Effective Agency in Human-AI Systems

Choice Begins Before Choice: Meaning-Shaped Accessibility, Live Possibility, and Effective Agency in Human-AI Systems (Full Paper v1.0, strong-claim synthesis)

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Authors

YLYaoharee Lahtee

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Overview

Theoretical analysis uncovers mechanisms of meaning-shaped choice accessibility in human-AI systems, indicating power constrains agency before decisions occur.

Key Points

To develop a conceptual and measurement architecture defining how prior experience, meaning-giving, and recursive human-AI interactions delimit live possibilities before deliberate choice occurs.
Synthesized agency frameworks, sociological power theories, and human-AI feedback dynamics into a unified conceptual architecture.
Formulated a six-level agency taxonomy separating physically possible, structurally feasible, experientially live, chosen, enacted, and evaluator-visible states.
Introduced the Live Possibility Field, demonstrating that affective resonance, semantic attraction, and recent-path momentum dictate which feasible choices become practically thinkable.
Identified that recursive human-AI interactions reshape the pre-prompt user state, allowing structural power to restrict agency at the level of meaning rather than overt decision points.

Cite This Study

Yaoharee Lahtee (2026) studied this question.

synapsesocial.com/papers/6a9fd77658e84d0ff5b461d0 https://doi.org/10.5281/zenodo.22357787

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September 8, 20260 citationsOpen Access

Meaning-Shaped Choice Accessibility and Effective Agency in Human-AI Systems

Choice Begins Before Choice: Meaning-Shaped Accessibility, Live Possibility, and Effective Agency in Human-AI Systems (Full Paper v1.0, strong-claim synthesis)

View Full Paper

Ask AI

Bookmark

Authors

YLYaoharee Lahtee

Discussion

Member takes

Overview

Theoretical analysis uncovers mechanisms of meaning-shaped choice accessibility in human-AI systems, indicating power constrains agency before decisions occur.

Key Points

To develop a conceptual and measurement architecture defining how prior experience, meaning-giving, and recursive human-AI interactions delimit live possibilities before deliberate choice occurs.
Synthesized agency frameworks, sociological power theories, and human-AI feedback dynamics into a unified conceptual architecture.
Formulated a six-level agency taxonomy separating physically possible, structurally feasible, experientially live, chosen, enacted, and evaluator-visible states.
Introduced the Live Possibility Field, demonstrating that affective resonance, semantic attraction, and recent-path momentum dictate which feasible choices become practically thinkable.
Identified that recursive human-AI interactions reshape the pre-prompt user state, allowing structural power to restrict agency at the level of meaning rather than overt decision points.

Cite This Study

Yaoharee Lahtee (2026) studied this question.

synapsesocial.com/papers/6a9fd77658e84d0ff5b461d0 https://doi.org/10.5281/zenodo.22357787

View Full Paper

Ask AI

Bookmark