ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet
This addresses the need for ethical and legal compliance in AI-Internet interactions, offering a practical tool for web governance, though it appears incremental as an extension of existing standards.
The authors tackled the problem of regulating AI interactions with web content by introducing ai.txt, a domain-specific language that extends robots.txt with granular controls and natural language instructions, and demonstrated its effectiveness through preliminary experiments and case studies.
We introduce ai.txt, a novel domain-specific language (DSL) designed to explicitly regulate interactions between AI models, agents, and web content, addressing critical limitations of the widely adopted robots.txt standard. As AI increasingly engages with online materials for tasks such as training, summarization, and content modification, existing regulatory methods lack the necessary granularity and semantic expressiveness to ensure ethical and legal compliance. ai.txt extends traditional URL-based access controls by enabling precise element-level regulations and incorporating natural language instructions interpretable by AI systems. To facilitate practical deployment, we provide an integrated development environment with code autocompletion and automatic XML generation. Furthermore, we propose two compliance mechanisms: XML-based programmatic enforcement and natural language prompt integration, and demonstrate their effectiveness through preliminary experiments and case studies. Our approach aims to aid the governance of AI-Internet interactions, promoting responsible AI use in digital ecosystems.