The Agentic Web Requires New Normative Infrastructure
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
The agentic web, in which users interact with the internet largely through agents acting on their behalf, is now technically feasible. However, many of the consumer and social benefits that could be realized by online AI agents acting scrupulously in their principals' interest are currently obstructed by outdated laws, terms of service, and other less formal practices which allow online platforms to block and degrade agent access, often in secret. Few distinctions are currently drawn between "malicious bots" and AI agents acting with the express delegated authority of a user. For the agentic web to realize its promise, it needs not only the technical infrastructure of protocols and interfaces, but the normative infrastructure of a broadly-accepted and socially-beneficial set of laws, norms and practices governing agentic access to online properties. Building that normative infrastructure requires a society-wide conversation. This paper aims to help precipitate that conversation, to identify normative principles that can guide it, and to advocate for policies that enable users' appropriately delegated agents to act online on their behalf, with as few curbs on their doing so as is reasonable given the other legitimate interests at stake.
Key facts. No citing papers in the map yet (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 24 of its 124 references that are in the map. First posted on arXiv 9 Jun 2026.
Builds on
24 of 124 references.
Closest ancestors · 4
Same direction, newest first
- 2025Agentic Inequality19 Oct
- 2025Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation13 Oct
- 2025LLM Agents Are the Antidote to Walled Gardens30 Jun
- 2024Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents10 Apr
Other references · 20
- 2025BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agentscited by 647
- 2025An Illusion of Progress? Assessing the Current State of Web Agentscited by 174
- 2025Multi-Agent Risks from Advanced AIcited by 163
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- 2026Towards a Science of AI Agent Reliabilitycited by 65
- 2024Consent in Crisis: The Rapid Decline of the AI Data Commonscited by 46
- 2024A Scalable Communication Protocol for Networks of Large Language Modelscited by 45
- 2025Fully Autonomous AI Agents Should Not be Developedcited by 45
- 2026The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systemscited by 30
- 2024IDs for AI Systemscited by 19
- 2025The AI Agent Indexcited by 15
8 more
- 2025The Automated but Risky Game: Modeling and Benchmarking Agent-to-Agent Negotiations and Transactions in Consumer Marketscited by 15
- 2026Legal Alignment for Safe and Ethical AIcited by 10
- 2023Designing Fiduciary Artificial Intelligencecited by 8
- 2024Somesite I Used To Crawl: Awareness, Agency and Efficacy in Protecting Content Creators From AI Crawlerscited by 7
- 2025Permission Manifests for Web Agentscited by 5
- 2025Machine-Readable Ads: Accessibility and Trust Patterns for AI Web Agents interacting with Online Advertisementscited by 3
- 2025The Attribution Crisis in LLM Search Resultscited by 3
- 2024Lecture II: Communicative Justice and the Distribution of Attentioncited by 2
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Not cited yet.
Similar, not cited
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