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Consent in Crisis: The Rapid Decline of the AI Data Commons

NeurIPS 2024 · Large language models › AI and society · approach: Data commons and human baselines · 13 citations (OpenAlex)

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Audits consent signals (robots.txt and Terms of Service) across web domains underlying C4, RefinedWeb, and Dolma, tracking how AI-related restrictions grew from 2016 to 2024.

Problem

Web domains underlying AI training corpora increasingly restrict crawling and AI use through robots.txt and Terms of Service, but no longitudinal audit existed of these consent signals and how they affect the data commons.

Approach

Traces provenance beneath datasets to the source web domains, combining Wayback Machine longitudinal snapshots of robots.txt and ToS with human and GPT-4o annotation of domain characteristics, then forecasts restriction trends with SARIMA and compares web sources with real ChatGPT usage in WildChat.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Restrictions on crawling increased from mid-2023 to April 2024C4, RefinedWeb, and Dolma full corpora · Full corporatokens fully restricted by robots.txt: ~1% -> 5-7%Hurt
Restrictions on crawling increased from mid-2023 to April 2024C4, RefinedWeb, and Dolma head domains · Head domainstokens fully restricted by robots.txt: <3% -> 20-33%Hurt
Terms of Service crawling restrictions increased over the last yearC4, RefinedWeb, and Dolma · Full corporaTerms of Service crawling restrictions: 26-53% relative increaseHurt
Restricting crawlers in robots.txtC4 head domains · C4 head domainstokens restricted by crawler: OpenAI 25.9%; Anthropic and Common Crawl 13.3%; Google AI 9.8%; Cohere 4.9%; Meta 4.1%; Internet Archive 3.2%; Google SeMixed
Concentrating on the top 2000 domains rather than a random sampleWeb source audit · Audited domainsrestrictive robots.txt incidence (%): 3.4 -> 26.5Hurt
Concentrating on the top 2000 domains rather than a random sampleWeb source audit · Audited domainsrestrictive Terms incidence (%): 15.7 -> 51.2Hurt
Concentrating on the top 2000 domains rather than a random sampleWeb source audit · Audited domainsadvertisement incidence (%): 5.4 -> 53.2Mixed
Concentrating on the top 2000 domains rather than a random sampleWeb source audit · Audited domainsvideo modality incidence (%): 18.9 -> 58.7Helped
Concentrating on the top 2000 domains rather than a random sampleWeb source audit · Audited domainsaudio modality incidence (%): 3.4 -> 41.8Helped
Concentrating on the top 2000 domains rather than a random sampleWeb source audit · Audited domainsnews/periodicals incidence (%): 5.3 -> 50.0Helped
Concentrating on the top 2000 domains rather than a random sampleWeb source audit · Audited domainsorganization/personal website incidence (%): 71.2 -> 12.7Hurt
Comparing real user requests with content prevalent in web-derived training sourcesChatGPT use and public web data · WildChat conversationscreative composition requests: over 30%Mixed

Surprising findings

Limitations

Experimental setup

Datasets: C4 RefinedWeb Dolma WildChat

Benchmarks: WildChat

Metrics: percent of tokens restricted incidence rates of domain features conditional restriction probabilities SARIMA forecasts

Baselines: Googlebot robots.txt restrictions

Builds on: C4 RefinedWeb Dolma SARIMA

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