{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"AI Containment — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">AI Containment</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">A set of strategies aimed at limiting an AI system's ability to take actions beyond its intended scope, restricting its access to resources, communication channels, and the broader environment. Containment is a safeguard against unexpected or dangerous behavior in powerful AI systems, buying time to detect and correct problems before they propagate. It is generally considered a complement to AI alignment rather than a substitute for it, since containment alone becomes harder to maintain as systems grow more capable.  See also: AI alignment, AI safety, corrigibility.</p><a href=\"https://gaks.ai/glossary/ai-containment\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/ai-containment →</a></div>"}