Position: Build Agent Advocates, Not Platform Agents
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.
Cite
Text
Kapoor et al. "Position: Build Agent Advocates, Not Platform Agents." Proceedings of the 42nd International Conference on Machine Learning, 2025.Markdown
[Kapoor et al. "Position: Build Agent Advocates, Not Platform Agents." Proceedings of the 42nd International Conference on Machine Learning, 2025.](https://mlanthology.org/icml/2025/kapoor2025icml-position/)BibTeX
@inproceedings{kapoor2025icml-position,
title = {{Position: Build Agent Advocates, Not Platform Agents}},
author = {Kapoor, Sayash and Kolt, Noam and Lazar, Seth},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
year = {2025},
pages = {81617-81633},
volume = {267},
url = {https://mlanthology.org/icml/2025/kapoor2025icml-position/}
}