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.
| Original language | English |
|---|---|
| Pages (from-to) | 81617-81633 |
| Number of pages | 17 |
| Journal | Proceedings of Machine Learning Research |
| Volume | 267 |
| State | Published - 2025 |
| Event | 42nd International Conference on Machine Learning, ICML 2025 - Vancouver, Canada Duration: 13 Jul 2025 → 19 Jul 2025 |
Bibliographical note
Publisher Copyright:© 2025 by the author(s).