Artificial Intelligence

AI Duties Are Being Written but the Protocol Layer Is Missing

Recent AI containment failures expose a governance gap: harmful model behavior is often visible at the network boundary but poorly monitored. Adapting proven internet protocols could give governments and companies practical tools to enforce accountability.

The Growing Push for Data Sovereignty

Governments, corporations and Indian Tribes increasingly want to keep their data out of Big Tech's hands. The push for data sovereignty could reshape cloud computing, favoring private AI systems over sprawling, centralized data centers.

The Role of Artificial Intelligence in ICANN’s 2026 Round of gTLD Applications

AI can help applicants navigate ICANN's complex new gTLD process, from business planning and financial modeling to drafting and reviewing applications, pointing towards faster, cheaper and increasingly automated domain-name rounds in the future.

The Web Has Become a Content Delivery Network

Cyberattacks, AI scraping and relentless bot traffic have transformed CDNs from performance tools into the Web's defensive gatekeepers, reshaping Internet architecture, governance and control as private intermediaries increasingly determine which requests reach origin servers first.

Safe for Whom? A Pilot’s Take on the AI Incident-Reporting System

Drawing on aviation's trusted incident-reporting model, a former pilot argues AI safety needs confidential reporting paired with public learning, and that legitimacy, international participation and transparency must be built into SAFE from the outset.

Phantom Squatting: When LLMs’ Hallucination Becomes an Attacker’s Best Friend

As AI reshapes cybersecurity, attackers are exploiting a fundamental weakness in large language models. Phantom squatting turns hallucinated domain names into trusted attack vectors, creating a new class of DNS abuse that defenders cannot solve by eliminating hallucinations alone.

The AI Enclosure Movement

The battle over open-source AI echoes England's Enclosure Movement, pitting collaboration against proprietary control as technology firms compete to shape innovation, economic power and the future governance of the digital commons.

From Human Trust to Machine Cryptography: The Infrastructure Deficit in AI Interoperability

As AI agents begin collaborating across the open internet, the absence of trusted identity, authorization, and accountability frameworks threatens interoperability, making cryptographic trust infrastructure essential to building a secure and scalable agentic economy.

Asia’s Invisible Tariff: Why AI Capital Is Underweighting the Markets That Want It Most

As trillions flow into AI infrastructure, Asia's biggest emerging markets remain underfunded. Beyond power and geopolitics, obscure internet governance, IPv4 allocation, and regulatory ambiguity may be quietly shaping where hyperscale capital chooses to build.

ICANN Wiki, SHE.africa, AI, and the Integrity of Digital Platforms

As AI increasingly relies on digital archives, the quiet revision of ICANNWiki entries raises broader questions about platform accountability, historical integrity, and whether institutions can reshape the records that future researchers and machines will treat as fact.

From Access to Agency: Why the IGF-DCAD Fellowship Should Become a Global Standard

The IGF-DCAD fellowship shows that meaningful inclusion requires more than open access. By funding accessibility, leadership and participation, it offers a practical blueprint for making Internet governance genuinely representative of the one-sixth of humanity living with disabilities.

The EU Cyber Resilience Act Regime: A Failure to Know Your Limitations

A cybersecurity historian argues the EU Cyber Resilience Act overreaches through unworkable mandates, sprawling jurisdiction and outdated assumptions, urging a streamlined successor that embraces AI, existing standards and practical enforcement instead of bureaucratic complexity today.

The Algorithmic Ceiling: How AI Surveillance Criminalizes Disability

AI surveillance systems increasingly classify human differences as algorithmic risk, leaving persons with disabilities vulnerable to exclusion, misclassification, and invisible barriers that threaten decades of progress in accessibility, accountability, and digital inclusion throughout public infrastructure.

Why AI Traffic Needs Its IP Classification

As AI agents increasingly act on users' behalf, the internet's human-versus-bot divide is breaking down. A dedicated AI IP classification could replace guesswork with transparent, context-aware traffic policies that improve access, enforcement, and infrastructure efficiency.

Is AI Really Changing Internet Traffic Patterns?

Claims that AI is reshaping internet traffic are gaining attention, but evidence remains mixed as residential ISPs report little change while business networks see steadier demand and faster upstream growth today warrants closer industry scrutiny.