{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Data Minimization — 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;\">Data Minimization</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">The principle that only the data strictly necessary for a specified purpose should be collected and processed, no more. Data minimization is a core principle of GDPR and privacy-by-design thinking, and applies directly to AI development, where models should be trained on the minimum data needed to achieve their purpose, reducing privacy risk and the potential for harm from data breaches.  See also: de-identification, data sovereignty, Privacy.</p><a href=\"https://gaks.ai/glossary/data-minimization\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/data-minimization →</a></div>"}