Position: Build Agent Advocates, Not Platform Agents

  • Sayash Kapoor*
  • , Noam Kolt
  • , Seth Lazar
  • *Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

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 languageEnglish
Pages (from-to)81617-81633
Number of pages17
JournalProceedings of Machine Learning Research
Volume267
StatePublished - 2025
Event42nd International Conference on Machine Learning, ICML 2025 - Vancouver, Canada
Duration: 13 Jul 202519 Jul 2025

Bibliographical note

Publisher Copyright:
© 2025 by the author(s).

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