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Ayrıca Micolow'un Google'daki İngilizce dokümanları kullanarak kelimelerin anlamlarını öğrenmesi ve Tolga Bölükbaşı'nın haber metinleri üzerinde yaptığı araştırmada bilgisayarların cinsiyet ve ırk gibi önyargıları nasıl yansıttığı ve bunların nasıl düzeltilebileceği ele alınıyor."]},"endTime":1014,"title":"Yapay Zeka ve İnsan Dilini Anlama","beginTime":0}],"fullResult":[{"index":0,"title":"Yapay Zeka ve Dil Anlama Zorlukları","list":{"type":"unordered","items":["Yapay zeka alanında bilgisayarlar satranç oynama ve radyoloji görüntülerini değerlendirmek gibi başarılar elde etmiş olsa da, insan dilini anlamak ve sohbet etmek konusunda henüz başarılı olamamıştır.","Microsoft 2016 yılında Twitter'da insanlarla karşılıklı tweetleşerek dil öğrenmesi için bir yapay zeka karakteri kurdu ancak 24 saat sonra, kullanıcıların ona küfürlü ifadeler ve Nazi ideolojisini savunması nedeniyle devreden çıkarıldı.","Çin'de sosyal medya platformlarında kullanıcılarla sohbet etmek için hazırlanmış iki chatbot da benzer nedenlerden devreden çıkarıldı, ancak tekrar aktif edildiklerinde uslu konuşmaya başladılar."]},"beginTime":13,"endTime":128,"href":"/video/preview/10464265783977950708?parent-reqid=1774050752980318-9849840018656699101-balancer-l7leveler-kubr-yp-klg-308-BAL&text=TedX+Tech&t=13&ask_summarization=1"},{"index":1,"title":"Dijital Asistanlar ve Zorlukları","list":{"type":"unordered","items":["Siri dijital asistanının arkasında büyük bir mühendislik başarısı bulunmasına rağmen, her dilde edebiyatçılar ve yazarlar istihdam edilerek usturuplu cevaplar verebileceği ve anlamadığında konuyu saptırabilecek şekilde konuşmasını devam ettirebileceği senaryolar yazılır.","Amazon'un Alexa dijital asistanı için, insanları 20 dakika boyunca sıkmadan sosyal bir sohbet ettirebilecek programcı ekibine bir milyon dolarlık bir ödül sunulmasına rağmen henüz kimse bu ödülü kazanamamıştır.","Bilgisayarların insanların bildiği basit şeyleri bilmemesi ve bunları anlatmak için bir yöntem izin olması zorluk yaratmaktadır."]},"beginTime":128,"endTime":187,"href":"/video/preview/10464265783977950708?parent-reqid=1774050752980318-9849840018656699101-balancer-l7leveler-kubr-yp-klg-308-BAL&text=TedX+Tech&t=128&ask_summarization=1"},{"index":2,"title":"Türkçede Dil Anlama Zorlukları","list":{"type":"unordered","items":["Konuşmacı, 25 yıl önce bir ilkokul matematik ders kitabından seçtiği 20 Türkçe aritmetik problemi anlayıp çözecek bir program yazmaya çalışmıştır.","Programı \"Ali Aritmetikçi Lisan İşleyici\" olarak adlandırmış ve basit aritmetik gerektiren soruları çözmeye çalışmıştır.","Program, \"kamyonun deposunda\" ve \"kamyonda\" arasındaki ilişkiyi anlamadığı için soruları tam olarak çözemediğinden, bu tür bilgilere \"sağduyu bilgisi\" 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Fransa + Türkiye\" işlemi \"Ankara\" vektörüne, \"Windows - Microsoft + Google\" işlemi \"Android\" vektörüne yakın çıkıyor.","\"Sushi - Japonya + Almanya\" işlemi Almanların sevdiği sosis vektörüne yakın çıkıyor."]},"beginTime":613,"endTime":731,"href":"/video/preview/10464265783977950708?parent-reqid=1774050752980318-9849840018656699101-balancer-l7leveler-kubr-yp-klg-308-BAL&text=TedX+Tech&t=613&ask_summarization=1"},{"index":6,"title":"Önyargıların Bilgisayarlara Aktarılması","list":{"type":"unordered","items":["Tolga Bölükbaşı, Boston Üniversitesi'nde haber metinleri üzerinde benzer bir araştırma yapmış ve \"doktor - baba + anne\" işlemi \"ev hanımı\" vektörüne yakın çıkıyor.","Bilgisayarlar sadece bilgileri değil, insanlardaki önyargıları da öğreniyor ve bu önyargılar işe alma sistemlerinde cinsiyet veya etnik köken gibi faktörlerle ilgili yanlıştan yola çıkıyor.","Bilgisayarların önyargıları otomatik olarak silinebilecek bir algoritma geliştirilmiş, böylece \"bilgisayar 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