A seguirPróximo guia
Fair Use and AI Training Data
Sociedade
GUIA DA SOCIEDADE
Opting Out of AI Training Datasets
Creators can reduce future use of their work for AI training by blocking AI crawlers in robots.txt, turning off training permissions in platform settings, and registering with opt-out services, and can check some public datasets with search tools.
Nesta página4 minutos de leitura
Visão geral
These measures mostly affect future collection by companies that choose to respect them; they do not remove work from models already trained.
Mergulho profundo
Most large AI models are trained on material collected from the web. Common Crawl publishes huge crawls of the public internet, and image datasets such as LAION-5B, with about 5.85 billion image and caption pairs, were built by filtering them. LAION distributes links and captions rather than image files, but models trained with it downloaded the images from those links. To check whether your work appears, Spawning's Have I Been Trained lets you search LAION datasets by text or image. It covers only the datasets it indexes; there is no way to search the private data many companies use. The main prevention tools are: robots.txt. Many AI companies publish crawler names that sites can block, including GPTBot (OpenAI), ClaudeBot (Anthropic), CCBot (Common Crawl), Applebot-Extended (Apple) and Google-Extended, which controls use in Google's Gemini models without removing a site from Google Search. Some hosts and CDNs, such as Cloudflare, offer one-click AI crawler blocking. Platform settings. Services like LinkedIn and X have offered settings controlling training on user content, and Meta has offered objection forms in regions with stronger data protection law. Art sites such as DeviantArt and ArtStation introduced NoAI tags. Registries and legal reservations. Spawning's Do Not Train registry records opt-outs that some companies, including Stability AI for certain models, said they would honor. In the EU, the 2019 copyright directive allows rights holders to reserve text and data mining rights in machine-readable form, and the EU AI Act requires general-purpose model providers to respect such reservations. The limits are important. robots.txt is voluntary and not enforcement. Opt-outs are not retroactive, and trained models do not forget. Copies of your work reposted elsewhere are not covered by your site's rules. Blocking crawlers can also reduce visibility in AI-powered search. Opting out lowers exposure; it does not guarantee exclusion.
Impacto Estratégico
Risco e segurança
Os danos catastróficos e diários da IA dependem de quem entende os riscos e de quem pode agir.
Decisões mais claras
A literacia pública e profissional determina se uma política de segurança forte é politicamente possível.
Cortando o hype
Explicações claras reduzem a captura por exageros, relações públicas de laboratório e teatro de ética vaga.
The Future of Opting Out of AI Training Datasets
Pressure is growing for opt-out signals that are standardized and legally meaningful rather than scattered across crawler names and platform menus. Standards bodies and industry groups are working on shared vocabularies for AI usage preferences, and EU rules are pushing providers to document how they respect reservations. Licensing deals between AI companies and publishers suggest a market for consented data is forming, though mostly for large rights holders. Lawsuits over training on copyrighted work may change the default rules in some countries. For now, individual creators should treat opt-outs as partial protection and check settings periodically, since platforms change them.
Implementação no mundo real
An illustrator searches her portfolio images on Have I Been Trained, finds several in LAION-5B, and adds them to Spawning's Do Not Train registry, knowing this only binds companies that honor it.
A photographer who runs his own site adds robots.txt rules disallowing GPTBot, CCBot, ClaudeBot and Google-Extended, while leaving Googlebot allowed so his pages still appear in search results.
A writer on LinkedIn switches off the setting that allows her data to be used to train generative AI models and notes that this does not undo past use.
A small publisher in the EU adds a machine-readable reservation of text and data mining rights to its site and terms of use, relying on the EU copyright exception that lets rights holders opt out.
Riscos e guarda-corpos
Tratar o risco existencial como ficção científica enquanto aumenta a capacidade.
Confundir segurança do produto de superfície com alinhamento sob alta autonomia.
Deixando o público não-inglês e não especializado com apenas fontes de baixa qualidade.
Roteiro de implementação
Separe os riscos de danos ao produto, uso indevido e perda de controle/desalinhamento.
Pergunte quais evidências mudariam sua visão sobre prazos e gravidade.
Prefira fontes primárias e avaliações concretas em vez de afirmações de marketing.
Identifique um caminho de ação: carreira, política, financiamento ou habilidades – não apenas conscientização.
Continue explorando
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the Opting Out of AI Training Datasets quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Perguntas frequentes
What is Opting Out of AI Training Datasets?
Creators can reduce future use of their work for AI training by blocking AI crawlers in robots.txt, turning off training permissions in platform settings, and registering with opt-out services, and can check some public datasets with search tools. These measures mostly affect future collection by companies that choose to respect them; they do not remove work from models already trained.
What does the LAION-5B dataset actually distribute?
LAION provides URLs and captions. Model trainers downloaded the images from those links.
What does blocking Google-Extended in robots.txt do?
Google-Extended is a control token for AI training use. Blocking it leaves Search indexing untouched.
What is the main limitation of opting out after a model is trained?
Opt-outs affect future collection by companies that honor them. Past training is not undone.
Why does blocking crawlers in your own site's robots.txt not fully protect your work?
robots.txt is a request that well-behaved crawlers follow, and it only applies to the site that publishes it.
What does Spawning's Have I Been Trained tool let you do?
It searches the datasets it indexes. It cannot see private training data used by many companies.
Continue aprendendo
Guias relacionados
Mais guias escolhidos para este tópico