Public AI Policies: Building Democratic and Sustainable AI Tool Ecosystems
Artificial intelligence tools are becoming central to many fields, raising questions about fair and sustainable management. Public AI policies seek to establish frameworks that encourage democratic access and support sustainable development of AI tools. This article discusses how such policies utilize public compute resources, data commons, and open-source model ecosystems to build resilient AI infrastructures. TL;DR The text says public AI policies promote shared computing resources to lower barriers for AI development. The article reports data commons as key to providing diverse, governed datasets for AI tools. Open-source model ecosystems foster collaboration and transparency within AI communities. Public Compute in AI Development Access to high-performance computing is crucial for training and deploying AI tools, yet it is often confined to large organizations. Public AI policies encourage the use of publicly funded compute infrastructure to b...