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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. more
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. more
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. more
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. more
AI assistants are replacing search with synthesized answers, concentrating decisions about what information people see. As discovery narrows through a handful of platforms, preserving transparency, diversity, and accountable governance becomes increasingly urgent. more
As AI systems increasingly mediate trust online, the United Nations faces a closing opportunity to secure a sovereign .un domain, creating a machine-readable digital identity that strengthens authenticity, preserves institutional knowledge, and counters impersonation. more
As AI giants build vertically integrated, compute-centric networks, they are bypassing DNS, reshaping routing, and concentrating infrastructure power, placing decades-old internet governance institutions under mounting pressure and raising the prospect of a fragmented, AI-driven Splinternet. more
As the UN turns to AI governance, old lessons from internet governance loom large: multistakeholder rules matter, but sharper risks, geopolitical rivalry and machine autonomy make consensus harder and more urgent than before for all. more
A critique of ICANN's multi-stakeholder model argues that its accountability record, revealed through more than a dozen IRP disputes, shows structural failures that should caution policymakers seeking institutional blueprints for governing artificial intelligence systems globally. more
A debate over aligning internet and AI governance reveals stark differences in origin, incentives and power. While lessons from ICANN's multi-stakeholder model endure, AI's corporate dominance and geopolitical rivalry demand new, bottom-up approaches. more
As policymakers search for an IAEA for AI, lessons from ICANN and internet governance loom large, raising questions about multistakeholder legitimacy, mission creep, technical fragmentation and whether AI demands sector-specific regulation rather than grand global architectures. more
A three-decade natural experiment suggests America's centralized regulatory review fostered far greater wealth creation than Europe's precautionary principle, raising stark questions about whether importing EU-style AI rules would undermine US innovation and prosperity. more
A 2026 outlook charts Internet governance between fear and hope, tracking cyber conflict, digital trade and taxation, shrinking rights, and global AI rivalry, while asking whether multistakeholder cooperation can still steer the network toward stability. more
The Internet is evolving far beyond screens and smartphones. A proposed seven-stage framework anticipates a future shaped by autonomous agents, sensory wearables, global connectivity, and quantum networks redefining how humans interact with the digital world. more
As AI transforms how users search, the domain name is evolving from a traffic destination into a trust signal - crucial for citation, identity, and authority in an Internet shaped by machine-mediated discovery. more
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