{"id":11939,"date":"2026-05-15T04:49:57","date_gmt":"2026-05-15T04:49:57","guid":{"rendered":"https:\/\/virconlegal.com\/term\/sentetik-veri\/"},"modified":"2026-05-15T05:10:28","modified_gmt":"2026-05-15T05:10:28","slug":"sentetik-veri","status":"publish","type":"term","link":"https:\/\/virconlegal.com\/tr\/term\/sentetik-veri\/","title":{"rendered":"Sentetik Veri"},"content":{"rendered":"<h3>TLDR:<\/h3>\n<p>Sentetik veri, ger\u00e7ek d\u00fcnya olaylar\u0131ndan toplanmak yerine algoritmalar veya AI sistemleri taraf\u0131ndan yapay olarak \u00fcretilen veridir. AI modellerini e\u011fitmek, veri k\u00fcmelerini \u00e7o\u011faltmak, gizlili\u011fi korumak ve sistemleri test etmek i\u00e7in giderek artan bi\u00e7imde kullan\u0131l\u0131yor\u2014modern AI geli\u015fiminde merkezi bir ara\u00e7 haline geliyor.<\/p>\n<h3>\u00dcretim Y\u00f6ntemleri<\/h3>\n<p>Sentetik veri \u00e7e\u015fitli y\u00f6ntemlerle \u00fcretilir: kural tabanl\u0131 sim\u00fclasyon (finansal piyasalar, otonom s\u00fcr\u00fc\u015f ortamlar\u0131), <a href=\"https:\/\/virconlegal.com\/tr\/term\/uretken-yapay-zeka\/\">\u00fcretken yapay zeka<\/a> modelleri (sentetik e\u011fitim \u00f6rnekleri \u00fcreten <a href=\"https:\/\/virconlegal.com\/tr\/term\/buyuk-dil-modeli-llm\/\">LLM<\/a>&#8217;ler, sentetik g\u00f6r\u00fcnt\u00fcler \u00fcreten dif\u00fczyon modelleri), istatistiksel y\u00f6ntemler (\u00f6\u011frenilmi\u015f da\u011f\u0131l\u0131mlardan \u00f6rnekleme alarak pop\u00fclasyon istatistiklerini korurken bireysel tan\u0131mlanabilirli\u011fi bozma) ve fizik tabanl\u0131 sim\u00fclasyon (otonom ara\u00e7lar ve robotik i\u00e7in etiketli g\u00f6rsel veri \u00fcreten render motorlar\u0131). Her y\u00f6ntemin farkl\u0131 sadakat, maliyet ve kullan\u0131m vakas\u0131 uygunlu\u011fu vard\u0131r.<\/p>\n<h3>Kullan\u0131m Alanlar\u0131<\/h3>\n<p>B\u00fcy\u00fck kullan\u0131m alanlar\u0131 \u015funlard\u0131r: gizlilik koruyan analitik (tan\u0131mlanabilir veriyi sentetik alternatiflerle de\u011fi\u015ftirme), nadir olay art\u0131r\u0131m\u0131 (yeterince toplamak i\u00e7in \u00e7ok nadir olan doland\u0131r\u0131c\u0131l\u0131k, kazalar veya t\u0131bbi durumlar\u0131n \u00f6rneklerini olu\u015fturma), da\u011f\u0131l\u0131m yeniden dengeleme (yetersiz temsil edilen gruplar\u0131 a\u015f\u0131r\u0131 \u00f6rnekleme), \u00f6l\u00e7ekte AI e\u011fitimi (ger\u00e7ek veri yetersiz veya etiketlemek i\u00e7in \u00e7ok pahal\u0131 oldu\u011funda) ve u\u00e7 durum testleri.<\/p>\n<h3>Riskler ve Hukuki D\u00fc\u015f\u00fcnceler<\/h3>\n<p>Sentetik veri \u00f6zel riskler ta\u015f\u0131r: model \u00e7\u00f6k\u00fc\u015f\u00fc (\u00f6nceki nesillerden gelen sentetik veri \u00fczerinde \u00fcretken modelleri e\u011fitmek zaman i\u00e7inde kaliteyi d\u00fc\u015f\u00fcrebilir), kal\u0131nt\u0131 gizlilik riski (sentetik veri ezberleme yoluyla e\u011fitim \u00f6znelerinin bilgilerini hala s\u0131zd\u0131rabilir), da\u011f\u0131l\u0131msal \u00f6nyarg\u0131 (sentetik veri \u00fcreticinin \u00f6nyarg\u0131lar\u0131n\u0131 miras al\u0131r) ve ge\u00e7erlilik sorular\u0131 (sentetik-veri e\u011fitimli AI ger\u00e7ek ko\u015fullara genelle\u015fir mi?). Yasal olarak, sentetik veri otomatik olarak gizlilik d\u00fczenlemelerinin d\u0131\u015f\u0131na \u00e7\u0131kmaz\u2014ki\u015fisel veriden \u00fcretildiyse, kal\u0131nt\u0131 tan\u0131mlanabilirlik hala <a href=\"https:\/\/virconlegal.com\/tr\/term\/gdpr\/\">GDPR<\/a> ve KVKK y\u00fck\u00fcml\u00fcl\u00fcklerini tetikleyebilir.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>TLDR: Sentetik veri, ger\u00e7ek d\u00fcnya olaylar\u0131ndan toplanmak yerine algoritmalar veya AI sistemleri taraf\u0131ndan yapay olarak \u00fcretilen veridir. AI modellerini e\u011fitmek, veri k\u00fcmelerini \u00e7o\u011faltmak, gizlili\u011fi korumak ve sistemleri test etmek i\u00e7in giderek artan bi\u00e7imde kullan\u0131l\u0131yor\u2014modern AI geli\u015fiminde merkezi bir ara\u00e7 haline geliyor. \u00dcretim Y\u00f6ntemleri Sentetik veri \u00e7e\u015fitli y\u00f6ntemlerle \u00fcretilir: kural tabanl\u0131 sim\u00fclasyon (finansal piyasalar, otonom s\u00fcr\u00fc\u015f [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"footnotes":""},"categories":[],"class_list":["post-11939","term","type-term","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11939","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term"}],"about":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/types\/term"}],"author":[{"embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/comments?post=11939"}],"version-history":[{"count":1,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11939\/revisions"}],"predecessor-version":[{"id":12310,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11939\/revisions\/12310"}],"wp:attachment":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/media?parent=11939"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/categories?post=11939"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}