Tag
This paper introduces scaling participation, a new paradigm for building modular AI systems through contributions from diverse stakeholders, where small models collaborate to outperform monolithic LLMs by up to 15.4% across various tasks, demonstrating emergent capabilities and improved diversity benefits.
This paper presents a reproducible protocol for building an open repository and interactive atlas of participatory AI initiatives, analyzing 131 records to reveal geographic and lifecycle patterns, and proposes a framework for participatory-by-default AI infrastructures.
OpenAI announces completion of its Democratic Inputs to AI grant program, selecting 10 teams from nearly 1,000 applications across 113 countries to explore participatory approaches to AI governance. The program produced diverse projects spanning video deliberation, crowdsourced audits, and representation guarantees, with OpenAI releasing the teams' code and documentation.