ICML 2025poster0 citations

Position: Build Agent Advocates, Not Platform Agents

Sayash Kapoor, Noam Kolt, Seth Lazar

Abstract

Language model agents are poised to mediate how people navigate and act online. If the companies that already dominate internet search, communication, and commerce—or the firms trying to unseat them—control these agents, the resulting *platform agents* will likely deepen surveillance, tighten lock-in, and further entrench incumbents. To resist that trajectory, this position paper argues that we should promote *agent advocates*: user-controlled agents that safeguard individual autonomy and choice. Doing so demands three coordinated moves: broad public access to both compute and capable AI models that are not platform-owned, open interoperability and safety standards, and market regulation that prevents platforms from foreclosing competition.

agentsplatform agentsagent advocatesinteroperabilitycompetitiveness
BibTeX
@inproceedings{
kapoor2025position,
title={Position: Build Agent Advocates, Not Platform Agents},
author={Sayash Kapoor and Noam Kolt and Seth Lazar},
booktitle={Forty-second International Conference on Machine Learning Position Paper Track},
year={2025},
url={https://openreview.net/forum?id=jd1N60VNFE}
}