AIES Paper: Characterizing the AI Capability Threshold for Broadly Shared Gains
aran_nayebi · x · 2026-08-01
A paper accepted to AIES 2026, titled "When Do AI Gains Become Broadly Shareable?", expands on previous Universal Basic Income (UBI) analysis.
The research rigorously characterizes the institutional conditions required for AI-driven gains to be broadly shared across society. It models how factors like public capture mechanisms, deployment costs, automation scope, and market structure shift the AI capability threshold needed to achieve broad-based benefits.
Related event: AIES 2026 Paper Models AI Capability Threshold for UBI(2 posts)→
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