The web's anti-bot regime should be replaced by a framework that presumptively lets user-authorized AI agents act for their principals, requires platforms to disclose access policies, and permits agent blocking only when proportionate to concrete harms.
Consent in Crisis : The Rapid Decline of the AI Data Commons , July 2024
3 Pith papers cite this work, alongside 12 external citations. Polarity classification is still indexing.
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Introduces a parameter-driven framework for data attribution in LLMs that enables negotiation among creators, users, and intermediaries to meet stakeholder goals within the data economy.
Analysis of arXiv abstracts detects increased top-word turnover and flattening of LLM-style to complexity-metric relationships after 2022.
citing papers explorer
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The Agentic Web Requires New Normative Infrastructure
The web's anti-bot regime should be replaced by a framework that presumptively lets user-authorized AI agents act for their principals, requires platforms to disclose access policies, and permits agent blocking only when proportionate to concrete harms.
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A Human-Centric Framework for Data Attribution in Large Language Models
Introduces a parameter-driven framework for data attribution in LLMs that enables negotiation among creators, users, and intermediaries to meet stakeholder goals within the data economy.
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Human--LLM Collaboration Is Transforming Complexity Metrics in Scientific Texts
Analysis of arXiv abstracts detects increased top-word turnover and flattening of LLM-style to complexity-metric relationships after 2022.