Algoritmik \u00f6nyarg\u0131, AI sistem \u00e7\u0131kt\u0131lar\u0131nda adil olmayan veya ayr\u0131mc\u0131 sonu\u00e7lar \u00fcreten sistematik hatalara at\u0131fta bulunur ve tipik olarak \u0131rk, cinsiyet, ya\u015f veya engellilik gibi \u00f6zelliklerle tan\u0131mlanan korunan gruplar\u0131 dezavantajl\u0131 hale getirir. \u00d6nyarg\u0131, \u00f6zellikle i\u015fe al\u0131m, kredilendirme, sa\u011fl\u0131k ve ceza adaletinde AI da\u011f\u0131t\u0131mlar\u0131nda b\u00fcy\u00fck bir hukuki, etik ve operasyonel kayg\u0131d\u0131r.<\/p>\n
Algoritmik \u00f6nyarg\u0131 AI sistemlerine birka\u00e7 yolla girer: e\u011fitim verisi \u00f6nyarg\u0131s\u0131 (ge\u00e7mi\u015f ayr\u0131mc\u0131l\u0131\u011f\u0131 yans\u0131tan tarihsel veri), \u00f6rnekleme \u00f6nyarg\u0131s\u0131 (belirli gruplar\u0131n yetersiz temsili), etiketleme \u00f6nyarg\u0131s\u0131 (a\u00e7\u0131klay\u0131c\u0131 \u00f6nyarg\u0131s\u0131n\u0131 yans\u0131tan \u00f6znel etiketler), proxy de\u011fi\u015fkenler (korunan \u00f6zelliklerle ili\u015fkili g\u00f6r\u00fcn\u00fc\u015fte tarafs\u0131z \u00f6zellikler\u2014\u00f6rn. \u0131rk i\u00e7in proxy olarak posta kodu), \u00f6l\u00e7\u00fcm \u00f6nyarg\u0131s\u0131 (ayn\u0131 sonucun gruplar aras\u0131nda farkl\u0131 \u00f6l\u00e7\u00fclmesi) ve da\u011f\u0131t\u0131m \u00f6nyarg\u0131s\u0131 (bir pop\u00fclasyon i\u00e7in e\u011fitilmi\u015f bir modelin ba\u015fka bir pop\u00fclasyonda da\u011f\u0131t\u0131lmas\u0131). \u00d6nyarg\u0131 veri toplamadan da\u011f\u0131t\u0131ma kadar AI hatt\u0131 boyunca birikebilir.<\/p>\n
\u00d6nyarg\u0131 tespiti istatistiksel adalet metrikleri kullan\u0131r: demografik e\u015fitlik (gruplar aras\u0131nda e\u015fit pozitif tahmin oranlar\u0131), e\u015fitlenmi\u015f oranlar (e\u015fit ger\u00e7ek pozitif ve yanl\u0131\u015f pozitif oranlar), kalibrasyon (tahmin edilen olas\u0131l\u0131klar\u0131n gruplar aras\u0131nda g\u00f6zlemlenen sonu\u00e7larla e\u015fit e\u015fle\u015fmesi) ve bireysel adalet (benzer bireylerin benzer tahminler almas\u0131). Bu metrikler matematiksel olarak \u00e7at\u0131\u015fabilir ve takaslar\u0131 gerektirir. Azaltma teknikleri aras\u0131nda e\u011fitim verisini yeniden dengeleme, adalet fark\u0131nda \u00f6\u011frenme algoritmalar\u0131, model \u00e7\u0131kt\u0131lar\u0131n\u0131n son i\u015flenmesi ve ayr\u0131\u015ft\u0131r\u0131lm\u0131\u015f metriklerle s\u00fcregelen izleme yer al\u0131r.<\/p>\n
Birden \u00e7ok hukuki \u00e7er\u00e7eve algoritmik \u00f6nyarg\u0131y\u0131 ele alma y\u00fck\u00fcml\u00fcl\u00fckleri dayat\u0131r: ABD’de Ba\u015fl\u0131k VII (istihdam), Adil Konut Yasas\u0131, E\u015fit Kredi F\u0131rsat\u0131 Yasas\u0131 ve B\u00f6l\u00fcm 1557 (sa\u011fl\u0131k) ayr\u0131mc\u0131 sonu\u00e7lar\u0131 yasaklar; EEOC AI i\u015fe al\u0131m ara\u00e7lar\u0131 konusunda \u00f6zel rehberlik yay\u0131mlam\u0131\u015ft\u0131r; AB AI Act bir\u00e7ok \u00f6nyarg\u0131 ile ilgili sistemi y\u00fcksek riskli olarak s\u0131n\u0131fland\u0131r\u0131r; GDPR<\/a> otomatik kararlara itiraz etme haklar\u0131n\u0131 verir. Ba\u015far\u0131s\u0131zl\u0131klar \u00f6nemli davalara yol a\u00e7m\u0131\u015ft\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":" TLDR: Algoritmik \u00f6nyarg\u0131, AI sistem \u00e7\u0131kt\u0131lar\u0131nda adil olmayan veya ayr\u0131mc\u0131 sonu\u00e7lar \u00fcreten sistematik hatalara at\u0131fta bulunur ve tipik olarak \u0131rk, cinsiyet, ya\u015f veya engellilik gibi \u00f6zelliklerle tan\u0131mlanan korunan gruplar\u0131 dezavantajl\u0131 hale getirir. \u00d6nyarg\u0131, \u00f6zellikle i\u015fe al\u0131m, kredilendirme, sa\u011fl\u0131k ve ceza adaletinde AI da\u011f\u0131t\u0131mlar\u0131nda b\u00fcy\u00fck bir hukuki, etik ve operasyonel kayg\u0131d\u0131r. \u00d6nyarg\u0131 Kaynaklar\u0131 Algoritmik \u00f6nyarg\u0131 AI […]<\/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-11933","term","type-term","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11933","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=11933"}],"version-history":[{"count":0,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11933\/revisions"}],"wp:attachment":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/media?parent=11933"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/categories?post=11933"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}