Build Agent Advocates, Not Platform Agents
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
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.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 31 of its 104 references that are in the map. First posted on arXiv 7 May 2025.
Builds on
31 of 104 references.
Closest ancestors · 4
Same direction, newest first
- 2023Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models6 Oct
- 2023Cognitive Architectures for Language Agents5 Sep
- 2023A Survey on Large Language Model based Autonomous Agents22 Aug
- 2023Harms from Increasingly Agentic Algorithmic Systems20 Feb
Other references · 27
- 2022Training language models to follow instructions with human feedbackcited by 15,971
- 2023Jailbroken: How Does LLM Safety Training Fail?cited by 1,651
- 2024OLMo: Accelerating the Science of Language Modelscited by 613
- 2024AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agentscited by 437
- 2022The Alignment Problem from a Deep Learning Perspectivecited by 258
- 2024AI Agents That Mattercited by 219
- 2024Foundational Challenges in Assuring Alignment and Safety of Large Language Modelscited by 199
- 2020Open Problems in Cooperative AIcited by 168
- 2023Co-Writing with Opinionated Language Models Affects Users' Viewscited by 148
- 2024Secret Collusion among AI Agents: Multi-Agent Deception via Steganographycited by 113
- 2024The Ethics of Advanced AI Assistantscited by 107
- 2024A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Modelscited by 106
15 more
- 2025SafeArena: Evaluating the Safety of Autonomous Web Agentscited by 102
- 2025Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?cited by 75
- 2024On the Societal Impact of Open Foundation Modelscited by 65
- 2024A Scalable Communication Protocol for Networks of Large Language Modelscited by 45
- 2025Fully Autonomous AI Agents Should Not be Developedcited by 45
- 2023Characterizing Manipulation from AI Systemscited by 43
- 2024Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real onlinecited by 16
- 2023The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyondcited by 15
- 2025The AI Agent Indexcited by 15
- 2024Decentralized Governance of Autonomous AI Agentscited by 12
- 2023Designing Fiduciary Artificial Intelligencecited by 8
- 2020AI loyalty: A New Paradigm for Aligning Stakeholder Interestscited by 7
- 2025Lessons from complexity theory for AI governancecited by 5
- 2024Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policiescited by 2
- 2024Lecture II: Communicative Justice and the Distribution of Attentioncited by 2
Built on by
Citing papers per year: 2025: 4; 2026: 4.
8 papers.
- 2026The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systemscited by 30
- 2025Position: Collaborative Agentic AI Needs Interoperability Across Ecosystemscited by 8
- 2026SoK: Security of Autonomous LLM Agents in Agentic Commercecited by 8
- 2026Harness Engineering: Anatomy, Architecture, and Evolution of Coding Agents -- A Source-Code Study of Eleven Systemscited by 6
- 2025Superplatforms Have to Attack AI Agentscited by 3
- 2025Agentic Inequalitycited by 3
- 2025The 2025 OpenAI Preparedness Framework does not guarantee any AI risk mitigation practices: a proof-of-concept for affordance analyses of AI safety policiescited by 2
- 2026An Investigation of the NeurIPS and ICML 2025 Position Trackscited by 0
- 2026Harness Engineering: Anatomy, Architecture, and Evolution of Coding Agents -- A Source-Code Study of Eleven Systems15 Jul 2026
- 2026An Investigation of the NeurIPS and ICML 2025 Position Tracks6 Jul 2026
- 2026SoK: Security of Autonomous LLM Agents in Agentic Commerce15 Apr 2026
- 2026The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems19 Feb 2026
- 2025Agentic Inequality19 Oct 2025
- 2025The 2025 OpenAI Preparedness Framework does not guarantee any AI risk mitigation practices: a proof-of-concept for affordance analyses of AI safety policies29 Sep 2025
- 2025Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems25 May 2025
- 2025Superplatforms Have to Attack AI Agents23 May 2025
Similar, not cited
Close in wording, no citation either way
- 2026Agentic AI: User Empowerment or Foreclosure?
- 2025Regulating the Agency of LLM-based Agents
- 2024Beyond the Sum: Unlocking AI Agents Potential Through Market Forces
- 2026The Agentic Web Requires New Normative Infrastructure
- 2026Agent Safety Is Action Alignment
- 2025LLM Agents Are the Antidote to Walled Gardens
- 2025The Agentic Economy
- 2026Synergy: A Next-Generation General-Purpose Agent for Open Agentic Web