The Free and Open Web Is Under Attack at the IETF

· Source: Deeplinks · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Regulatory Affairs & Government Relations, Emerging Technologies & Innovation · Depth: Novice, short

Summary

The Internet Engineering Task Force (IETF) is considering proposals that threaten the free and open internet by restricting automated access to public web content. Driven by economic anxieties from publishers and Big Tech regarding AI bots, these proposals aim to monetize internet access. Automated crawling and scraping are presented as fundamental to a free internet, supporting journalism, research, the Internet Archive's preservation efforts, and comparison shopping. The AI Preferences working group proposes "preference signals" via robots.txt to block AI-related crawling, potentially making these legally binding. Concurrently, the Web Bot Auth working group, while addressing aggressive bots, also seeks to enable cryptographic bot identification, allowing sites to block any bot they wish, including competitors or those unwilling to pay licensing fees. This could close off the open web to researchers, archivists, and startups, undermining the principle of open access.

Key takeaway

For research scientists and legal professionals relying on automated web access, proposed IETF standards changes pose a significant threat to your ability to freely gather public data. You should actively monitor the AI Preferences and Web Bot Auth working groups, as their proposals could mandate licensing for crawling or make "preference signals" legally binding. Engage with advocacy groups like EFF to protect the open web and ensure continued access for legitimate research and public interest activities.

Key insights

IETF proposals threaten open web access by enabling monetization of automated crawling.

Principles

Method

The article describes proposed IETF standards changes, specifically "preference signals" via robots.txt and cryptographic bot identification, to restrict automated web access.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, Legal Professional, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Deeplinks.