{"id":16599,"date":"2022-10-10T15:04:07","date_gmt":"2022-10-10T12:04:07","guid":{"rendered":"http:\/\/atif.unaldi.org\/blog\/?p=16599"},"modified":"2022-10-10T15:04:07","modified_gmt":"2022-10-10T12:04:07","slug":"yapay-zeka-etigi-2","status":"publish","type":"post","link":"http:\/\/atif.unaldi.org\/blog\/2022\/10\/10\/yapay-zeka-etigi-2\/","title":{"rendered":"Yapay Zeka Eti\u011fi"},"content":{"rendered":"

Bu hafta Harvard Business Review\u2019de \u00e7ok \u00f6nemli bir yaz\u0131 yay\u0131nland\u0131. Yapay zeka ve eti\u011fi inceleyen yaz\u0131n\u0131n ilgin\u00e7 k\u0131sm\u0131 bat\u0131n\u0131n yapay zeka eti\u011fini bilen yap\u0131s\u0131n\u0131n bunu nas\u0131l bir sistem i\u00e7inde uygulayaca\u011f\u0131n\u0131 bilememesiydi. Bu i\u015fin en zor k\u0131sm\u0131 olmaya devam ediyor. Etik gibi konular san\u0131yorum do\u011funun daha ba\u015far\u0131l\u0131 tan\u0131mlad\u0131\u011f\u0131 konular. Zaten b\u00fcy\u00fck \u015firketlerin yapay zekan\u0131n i\u00e7inde eti\u011fin \u00f6nemine ikna olmalar\u0131 bile y\u0131llar ald\u0131. Ben de haz\u0131r konu a\u00e7\u0131lm\u0131\u015fken b\u00fct\u00fcn detaylar\u0131 ile yapay zekan\u0131n k\u00fc\u00e7\u00fck bir ge\u00e7mi\u015f tan\u0131m\u0131n\u0131 yapman\u0131n buraya nas\u0131l geldi\u011fimizi anlatman\u0131n gerekli oldu\u011funa kanaat ettim. <\/p>\n

Yapay Zeka Tarihi
\nYapay zekan\u0131n ge\u00e7mi\u015fi robotlara hatta tuning testi ve enigma ile \u00e7ok daha eskilere dayan\u0131r ama bizi ilgilendiren en \u00f6nemli k\u0131s\u0131m yapay zekan\u0131n i\u015flemci hacmi ile tan\u0131mland\u0131\u011f\u0131 d\u00f6nemlerin en ilgin\u00e7 olay\u0131 idi. IBM taraf\u0131ndan geli\u015ftirilen Deep Blue isimli bilgisayar d\u00f6nemin satran\u00e7 \u015fampiyonu Garry Kasparov ile 1-1 berabere kalm\u0131\u015ft\u0131. 1997’de IBM’in ikinci bilgisayar\u0131 Deeper Blue ise Kasparov’u yenmeyi ba\u015farm\u0131\u015ft\u0131r.
\nO d\u00f6nemde yapay zeka i\u015flemci hacmi demekti. Satran\u00e7 ise b\u00fct\u00fcn olas\u0131l\u0131klar\u0131n ortaya konabildi\u011fi bir ticaret oyunu olmas\u0131 nedeniyle bunun en kolay \u00f6l\u00e7\u00fclebildi\u011fi aland\u0131. Deeper Blue saniyede 200 milyon pozisyon deniyordu.
\n1997’den bu yana i\u015flem g\u00fcc\u00fc devaml\u0131 ve \u00e7ok h\u0131zl\u0131 \u015fekilde y\u00fckselirken, \u00e7ok \u00f6nemli bir geli\u015fme oldu. Yapay zeka art\u0131k b\u00fct\u00fcn olas\u0131l\u0131klar\u0131 hesaplayan bir i\u015flemci g\u00fcc\u00fcn\u00fcn d\u0131\u015f\u0131nda, kognitif \u00f6\u011frenme ile b\u00fcy\u00fck veriyi anlamland\u0131ran \u00e7ok yenilik\u00e7i bir hal ald\u0131. Bu anlamland\u0131rma yapay zekay\u0131 hesap makinesinden ger\u00e7ekten snapsler olu\u015fturan bir d\u00fc\u015f\u00fcnme makinesi haline getirdi. <\/p>\n

Yapay zekan\u0131n g\u00fcc\u00fcn\u00fc nereden anlar\u0131z
\nBu yeni d\u00f6nemde \u00f6l\u00e7\u00fcmlemeyi art\u0131k satran\u00e7tan daha sofistike bir oyun olan GO ile yapmak gerekiyordu. Nitekim Google’\u0131n yapay zekas\u0131 o d\u00f6nemin GO \u015fampiyonunu yenerek yeni bir ba\u015far\u0131ya imza att\u0131. \u00dcstelik yapay zekalar aras\u0131nda Google’\u0131nki ilk s\u0131rada bile de\u011fildi. Bu yeni d\u00f6nemde yapay zekalar anlamland\u0131rd\u0131\u011f\u0131 b\u00fcy\u00fck veri miktar\u0131na g\u00f6re tan\u0131mlan\u0131yor. Bu noktadan bak\u0131ld\u0131\u011f\u0131nda IBM’in Watson’\u0131 listenin ilk s\u0131ras\u0131nda yer al\u0131yor. Zira Watson s\u0131ras\u0131yla Amerika’n\u0131n en b\u00fcy\u00fck sigorta \u015firketinin sa\u011fl\u0131k verilerini, weather.com’da bulunana hava durumu verilerini ve youtube’daki b\u00fct\u00fcn yemek tarifi video’lar\u0131n\u0131 \u00f6\u011frendi ve anlamland\u0131rd\u0131. <\/p>\n

Peki yapay zeka ile ilgili korkunun kayna\u011f\u0131 ne?
\nYapay zeka’n\u0131n sahip olduu algoritmaya ilk a\u015famada \u00e7ok net do\u011frular\u0131 vermek gerekiyor. E\u011fer algoritma veriyi yanl\u0131\u015f anlamland\u0131r\u0131rsa ortaya korkun\u00e7 sonu\u00e7lar \u00e7\u0131kabiliyor. Microsoft’un yapay zekas\u0131 Tay, bunun en \u00e7arp\u0131c\u0131 \u00f6rneklerinden biri. Twitter’da etkile\u015fimde oldu\u011fu insanlar sayesinden bir gecede iflah olmaz bir \u0131rk\u00e7\u0131 haline gelen Tay, yapay zekada yanl\u0131\u015f \u00f6\u011frenmenin ne kadar ciddi sonu\u00e7lara ula\u015faca\u011f\u0131n\u0131n en belirgin \u00f6rne\u011fi.Bir gecede Tay’\u0131n fi\u015fi \u00e7ekildi. \u0130kinci bir \u00f6rnek ise facebook’un iki yapay zekas\u0131. Bunlar kendi aralar\u0131nda, uydurduklar\u0131 ve insanlar\u0131n anlamad\u0131\u011f\u0131 bir dilde konu\u015fmaya ba\u015flay\u0131nca Facebook’un patronu Mark Zuckenberg her ne kadar yapay zekan\u0131n b\u00fcy\u00fck sorunlar \u00e7\u0131karmayaca\u011f\u0131n\u0131 s\u00f6ylese de heyecanlanan facebook ekibi ikisinin de fi\u015fini \u00e7ekti.
\nYapay zekan\u0131n etik de\u011ferleri olmazsa ciddi sorunlar do\u011furaca\u011f\u0131n\u0131, belli bir s\u00fcre sonra insanlar\u0131 d\u00fcnya \u00fczerinde vir\u00fcs gibi g\u00f6receklerini ve d\u00fcnyan\u0131n ve kendilerinin gelece\u011fi i\u00e7in insanl\u0131\u011f\u0131 ortadan kald\u0131raca\u011f\u0131n\u0131 d\u00fc\u015f\u00fcnen \u00e7ok ki\u015fi var. Bunun d\u0131\u015f\u0131nda ikinci b\u00fcy\u00fck endi\u015fe ise, yanl\u0131\u015f ellerde bir yapay zekan\u0131n ciddi problemlere yol a\u00e7aca\u011f\u0131 yolunda. <\/p>\n

D\u00fcnya yapay zekada ne noktada?
\nYapay zeka i\u00e7in bir algoritman\u0131z, bir de b\u00fcy\u00fck veriniz olmal\u0131. Kognitif \u00f6\u011frenme \u00fczerine bir algoritma \u00f6yle \u00e7ok da zor say\u0131lmaz. Ancak daha sonra ger\u00e7ekten anlamland\u0131r\u0131labilir b\u00fcy\u00fck veri bulmak \u00e7ok da kolay de\u011fil. \u015eu an bir\u00e7ok \u015firket bu konuda yar\u0131\u015f\u0131yor. Bu verilere ula\u015fabilmek i\u00e7in \u015firketler sat\u0131n al\u0131yor, devletlerle anla\u015fmalar yap\u0131yor. \u0130\u015fte a\u015f\u0131lamaz b\u00fcy\u00fck e\u015fik buras\u0131. Watson ve di\u011fer yapay zekalar o kadar ileri gittiler ki, bu saatten sonra onlar\u0131 yakalamak \u00e7ok m\u00fcmk\u00fcn g\u00f6r\u00fcnm\u00fcyor. Belki sadece etik taraf\u0131nda fark atma ihtimalimiz var, tabii bunu Hintliler yapmam\u0131\u015f olursa.<\/p>\n","protected":false},"excerpt":{"rendered":"

Bu hafta Harvard Business Review\u2019de \u00e7ok \u00f6nemli bir yaz\u0131 yay\u0131nland\u0131. Yapay zeka ve eti\u011fi inceleyen yaz\u0131n\u0131n ilgin\u00e7 k\u0131sm\u0131 bat\u0131n\u0131n yapay zeka eti\u011fini bilen yap\u0131s\u0131n\u0131n bunu nas\u0131l bir sistem i\u00e7inde uygulayaca\u011f\u0131n\u0131 bilememesiydi. Bu i\u015fin en zor…<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[39,5],"tags":[],"class_list":["post-16599","post","type-post","status-publish","format-standard","hentry","category-businessweek","category-medya"],"yoast_head":"\nYapay Zeka Eti\u011fi - At\u0131f \u00dcnald\u0131<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/atif.unaldi.org\/blog\/2022\/10\/10\/yapay-zeka-etigi-2\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Yapay Zeka Eti\u011fi - At\u0131f \u00dcnald\u0131\" \/>\n<meta property=\"og:description\" content=\"Bu hafta Harvard Business Review\u2019de \u00e7ok \u00f6nemli bir yaz\u0131 yay\u0131nland\u0131. 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