In an effort to enhance the control and transparency of large language models trained on web data, Google is urging for the implementation of “machine-readable means for web publisher choice and control for emerging AI and research use cases.” The tech giant suggests adopting a modern robots.txt that allows web publishers to specify the access of their content to AI and research entities. This would aid in addressing concerns regarding data privacy, ecosystem fairness, and bias in AI models. By providing web publishers with more control, Google aims to promote responsible AI development and support the diverse needs of AI researchers.
Google Calls for Machine-Readable Web Control for AI and Research
Google is advocating for a modern robots.txt to provide machine-readable means for web publisher choice and control in emerging AI and research applications. This move aims to improve the accuracy and fairness of large language models trained on web data.
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