{"id":477510,"date":"2023-08-09T09:15:57","date_gmt":"2023-08-09T09:15:57","guid":{"rendered":""},"modified":"2023-09-05T11:14:51","modified_gmt":"2023-09-05T11:14:51","slug":"human-in-the-loop","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/human-in-the-loop\/","title":{"rendered":"D\u00f6ng\u00fcdeki \u0130nsan"},"content":{"rendered":"<p>D\u00f6ng\u00fcdeki \u0130nsan (HITL), g\u00f6revleri daha verimli ve do\u011fru bir \u015fekilde ger\u00e7ekle\u015ftirmek i\u00e7in insan zekas\u0131n\u0131 yapay zeka (AI) sistemleriyle birle\u015ftiren etkile\u015fimli bir bilgi i\u015flem yakla\u015f\u0131m\u0131d\u0131r.<\/p>\n<h2>D\u00f6ng\u00fcdeki \u0130nsan\u0131n Do\u011fu\u015fu<\/h2>\n<p>D\u00f6ng\u00fcdeki \u0130nsan kavram\u0131n\u0131n k\u00f6kleri, terimin ba\u015far\u0131l\u0131 operasyon i\u00e7in insan etkile\u015fimi gerektiren sistemleri tan\u0131mlamak i\u00e7in kullan\u0131ld\u0131\u011f\u0131 kontrol m\u00fchendisli\u011finde bulunur. \u0130lk kayda de\u011fer s\u00f6z\u00fc, makineler ve canl\u0131 organizmalarda bulunan ileti\u015fim ve kontrol sistemlerini inceleyen bir alan olan siberneti\u011fin ortaya \u00e7\u0131k\u0131\u015f\u0131yla birlikte 1940&#039;lara kadar uzanabilir.<\/p>\n<p>Bununla birlikte, HITL&#039;nin yapay zeka alan\u0131nda tam te\u015fekk\u00fcll\u00fc uygulamas\u0131, teknolojideki ilerlemelerin insan\u0131n bili\u015fsel yeteneklerini makine odakl\u0131 operasyonlarla birle\u015ftirme potansiyelini g\u00f6stermesiyle 21. y\u00fczy\u0131l\u0131n ba\u015flar\u0131nda geli\u015fmeye ba\u015flad\u0131.<\/p>\n<h2>D\u00f6ng\u00fcdeki \u0130nsan\u0131 Tan\u0131t\u0131yoruz<\/h2>\n<p>Temelde D\u00f6ng\u00fcdeki \u0130nsan, insanlar\u0131n ML modelinin ya\u015fam d\u00f6ng\u00fcs\u00fcn\u00fcn farkl\u0131 a\u015famalar\u0131na aktif olarak kat\u0131ld\u0131\u011f\u0131 bir makine \u00f6\u011frenimi yakla\u015f\u0131m\u0131d\u0131r. Veri \u00f6n i\u015fleme, \u00f6zellik \u00e7\u0131karma ve model e\u011fitiminden test etme ve da\u011f\u0131t\u0131m sonras\u0131 geri bildirime kadar insan m\u00fcdahalesi bir yapay zeka sisteminin yeteneklerini art\u0131r\u0131r.<\/p>\n<p>HITL temel olarak, yapay zekan\u0131n tekrarlayan ve hesaplama a\u00e7\u0131s\u0131ndan yo\u011fun g\u00f6revleri kolayl\u0131kla halledebilmesine ra\u011fmen insanlar\u0131n, yapay zekan\u0131n taklit etmesi zor olan yarat\u0131c\u0131l\u0131k, ba\u011flamsal anlay\u0131\u015f ve sezgi gibi benzersiz nitelikleri masaya getirdi\u011fi felsefesi \u00fczerine in\u015fa edilmi\u015ftir.<\/p>\n<h2>D\u00f6ng\u00fcdeki \u0130nsan\u0131n \u0130\u015fleyi\u015fi<\/h2>\n<p>HITL sistemi, hem insan\u0131n hem de makinenin problem \u00e7\u00f6zme s\u00fcrecine katk\u0131da bulundu\u011fu i\u015fbirli\u011fine dayal\u0131 bir \u00e7er\u00e7eve arac\u0131l\u0131\u011f\u0131yla \u00e7al\u0131\u015f\u0131r. \u0130\u015fte nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131na dair basitle\u015ftirilmi\u015f bir g\u00f6r\u00fcn\u00fcm:<\/p>\n<ol>\n<li><strong>\u00d6n \u0130\u015fleme:<\/strong> \u0130nsan kat\u0131l\u0131m\u0131, etiketleme ve a\u00e7\u0131klama dahil olmak \u00fczere veri k\u00fcmesinin kalitesini ve uygunlu\u011funu sa\u011flar.<\/li>\n<li><strong>E\u011fitim:<\/strong> Temizlenen ve etiketlenen veri k\u00fcmesi, bir ML modelini e\u011fitmek i\u00e7in kullan\u0131l\u0131r.<\/li>\n<li><strong>\u00c7\u0131kar\u0131m:<\/strong> E\u011fitilen model, girdiye dayal\u0131 tahminler yapar.<\/li>\n<li><strong>G\u00f6zden ge\u00e7irmek:<\/strong> \u0130nsanlar gerekirse modelin \u00e7\u0131kt\u0131lar\u0131n\u0131 inceler ve d\u00fczeltir.<\/li>\n<li><strong>Geri bildirim:<\/strong> D\u00fczeltilen \u00e7\u0131kt\u0131lar sisteme geri beslenerek modelin gelecekteki performans\u0131n\u0131 art\u0131r\u0131r.<\/li>\n<\/ol>\n<p>Bu geri bildirim d\u00f6ng\u00fcs\u00fc, modelin tahminleri istenen do\u011fruluk d\u00fczeyine ula\u015fana kadar devam eder.<\/p>\n<h2>D\u00f6ng\u00fcdeki \u0130nsan&#039;\u0131n Temel \u00d6zellikleri<\/h2>\n<p>Bir kavram ve uygulama olarak D\u00f6ng\u00fcdeki \u0130nsan birka\u00e7 \u00f6nemli \u00f6zelli\u011fe sahiptir:<\/p>\n<ul>\n<li><strong>\u0130\u015fbirlik\u00e7i \u0130stihbarat:<\/strong> HITL, makinelerin hesaplama g\u00fcc\u00fcn\u00fc insanlar\u0131n bili\u015fsel becerileriyle birle\u015ftirir.<\/li>\n<li><strong>\u0130nteraktif \u00f6\u011frenmek:<\/strong> Sistem s\u00fcrekli olarak insan geri bildirimlerinden \u00f6\u011frenerek performans\u0131n\u0131 zaman i\u00e7inde art\u0131r\u0131r.<\/li>\n<li><strong>Geli\u015ftirilmi\u015f Do\u011fruluk:<\/strong> \u0130nsan m\u00fcdahalesi, bir yapay zeka sisteminin kendi ba\u015f\u0131na yapabilece\u011fi hatalar\u0131 azaltmaya yard\u0131mc\u0131 olur.<\/li>\n<li><strong>\u00c7ok y\u00f6nl\u00fcl\u00fck:<\/strong> HITL, otonom ara\u00e7lardan sa\u011fl\u0131k hizmetleri te\u015fhislerine kadar \u00e7ok \u00e7e\u015fitli alanlarda uygulanabilir.<\/li>\n<li><strong>G\u00fcven ve \u015eeffafl\u0131k:<\/strong> HITL, insanlar\u0131 karar alma s\u00fcrecine dahil ederek yapay zeka sistemlerindeki \u015feffafl\u0131\u011f\u0131 ve g\u00fcveni art\u0131r\u0131r.<\/li>\n<\/ul>\n<h2>D\u00f6ng\u00fcdeki \u0130nsan Sistemlerinin T\u00fcrleri<\/h2>\n<p>\u0130nsan m\u00fcdahalesinin d\u00fczeyine ve niteli\u011fine g\u00f6re s\u0131n\u0131fland\u0131r\u0131lm\u0131\u015f \u00e7e\u015fitli HITL sistemleri t\u00fcrleri vard\u0131r:<\/p>\n<table>\n<thead>\n<tr>\n<th><strong>Tip<\/strong><\/th>\n<th><strong>Tan\u0131m<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Pasif VURU\u015e<\/strong><\/td>\n<td>\u0130nsan girdisi yaln\u0131zca ba\u015flang\u0131\u00e7 e\u011fitimi veya periyodik g\u00fcncellemeler i\u00e7in kullan\u0131l\u0131r.<\/td>\n<\/tr>\n<tr>\n<td><strong>Aktif HIT<\/strong><\/td>\n<td>\u0130nsanlar s\u00fcrekli olarak i\u015fin i\u00e7inde yer al\u0131yor ve yapay zeka tahminlerini ger\u00e7ek zamanl\u0131 olarak do\u011fruluyor ve d\u00fczeltiyor.<\/td>\n<\/tr>\n<tr>\n<td><strong>Hibrit HITL<\/strong><\/td>\n<td>\u0130nsanlar\u0131n ba\u015flang\u0131\u00e7 e\u011fitimine kat\u0131ld\u0131\u011f\u0131 ve belirsizlikler s\u0131ras\u0131nda \u00e7a\u011fr\u0131ld\u0131\u011f\u0131 pasif ve aktif kombinasyonu.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>D\u00f6ng\u00fcdeki \u0130nsandan Faydalanmak: Zorluklar ve \u00c7\u00f6z\u00fcmler<\/h2>\n<p>HITL, sa\u011fl\u0131k hizmetleri, otonom ara\u00e7lar, havac\u0131l\u0131k, m\u00fc\u015fteri hizmetleri ve daha fazlas\u0131 gibi bir\u00e7ok alanda uygulamalar\u0131n\u0131 buluyor. Ancak zorluklar da yok de\u011fil. \u0130nsan kat\u0131l\u0131m\u0131n\u0131n \u00f6l\u00e7eklenebilirli\u011fi, veri gizlili\u011fi ve insan geri bildirimindeki potansiyel \u00f6nyarg\u0131larla ilgili sorunlar olabilir.<\/p>\n<p>Ancak yine de bu zorluklar azalt\u0131labilir. \u00d6l\u00e7eklenebilirlik a\u00e7\u0131s\u0131ndan, aktif \u00f6\u011frenme gibi teknikler, yaln\u0131zca gerekti\u011finde dahil ederek insan \u00e7abas\u0131n\u0131 azaltmaya yard\u0131mc\u0131 olabilir. Gizlilik, ki\u015fisel verilerin anonimle\u015ftirilmesi ve s\u0131k\u0131 veri y\u00f6netimi uygulamalar\u0131n\u0131n uygulanmas\u0131yla korunabilir. Son olarak, \u00f6nyarg\u0131lar\u0131 y\u00f6netmek i\u00e7in \u00e7e\u015fitli insan incelemecilerden olu\u015fan bir grup kullan\u0131labilir.<\/p>\n<h2>D\u00f6ng\u00fcdeki \u0130nsan\u0131 Benzer Kavramlarla Kar\u015f\u0131la\u015ft\u0131rmak<\/h2>\n<p>A\u015fa\u011f\u0131daki tablo HITL&#039;yi benzer terimlerle kar\u015f\u0131la\u015ft\u0131rmaktad\u0131r:<\/p>\n<table>\n<thead>\n<tr>\n<th><strong>Konsept<\/strong><\/th>\n<th><strong>Tan\u0131m<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>D\u00f6ng\u00fcdeki \u0130nsan<\/strong><\/td>\n<td>ML modelinin ya\u015fam d\u00f6ng\u00fcs\u00fc boyunca insan geri bildirimini i\u00e7erir.<\/td>\n<\/tr>\n<tr>\n<td><strong>D\u00f6ng\u00fcdeki \u0130nsan<\/strong><\/td>\n<td>\u0130nsanlar yapay zeka operasyonlar\u0131n\u0131 denetler ve yaln\u0131zca gerekti\u011finde m\u00fcdahale eder.<\/td>\n<\/tr>\n<tr>\n<td><strong>D\u00f6ng\u00fc D\u0131\u015f\u0131 \u0130nsan<\/strong><\/td>\n<td>Yapay zeka, insan m\u00fcdahalesi olmadan tamamen ba\u011f\u0131ms\u0131z olarak \u00e7al\u0131\u015f\u0131r.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>D\u00f6ng\u00fcdeki \u0130nsan\u0131n Gelecek Perspektifleri<\/h2>\n<p>HITL&#039;in gelece\u011fi, insan bili\u015finin yapay zeka ile daha derin bir entegrasyonuna odaklanan potansiyel ilerlemelerle umut verici g\u00f6r\u00fcn\u00fcyor. Beyin-bilgisayar aray\u00fczleri ve duygusal bilgi i\u015flem gibi teknolojiler \u00f6nemli katk\u0131lar sa\u011flayabilir. Buradaki fikir, yapay zekay\u0131 daha empatik, etik ve uyarlanabilir hale getirerek insanlarla yapay zeka aras\u0131nda kusursuz bir i\u015fbirli\u011fini te\u015fvik etmektir.<\/p>\n<h2>Proxy Sunucular\u0131 ve D\u00f6ng\u00fcdeki \u0130nsan<\/h2>\n<p>OneProxy taraf\u0131ndan sa\u011flananlar gibi proxy sunucular\u0131 HITL sistemlerinde \u00f6nemli bir rol oynayabilir. Kullan\u0131lan veriler i\u00e7in bir g\u00fcvenlik katman\u0131 sunarak gizlilik ve uyumluluk sa\u011flayabilirler. \u00dcstelik makine \u00f6\u011frenimi modelleri i\u00e7in daha ger\u00e7ek\u00e7i ve \u00e7e\u015fitli test ortamlar\u0131 olu\u015fturmak i\u00e7in kullan\u0131labilirler. Bu, modellerin sa\u011flaml\u0131\u011f\u0131n\u0131 ve genellenebilirli\u011fini \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<ol>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Human-in-the-loop\" target=\"_new\" rel=\"noopener nofollow\">D\u00f6ng\u00fcdeki \u0130nsan Makine \u00d6\u011frenimi<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2006.12461\" target=\"_new\" rel=\"noopener nofollow\">D\u00f6ng\u00fcdeki \u0130nsan, Yapay Zeka Eti\u011fi Felsefesi<\/a><\/li>\n<li><a href=\"https:\/\/databricks.com\/glossary\/human-in-the-loop-for-machine-learning\" target=\"_new\" rel=\"noopener nofollow\">Makine \u00d6\u011frenimi i\u00e7in D\u00f6ng\u00fcdeki \u0130nsan<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Proxy_server\" target=\"_new\" rel=\"noopener nofollow\">Proxy sunucu<\/a><\/li>\n<\/ol>","protected":false},"featured_media":468577,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477510","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Human-in-the-Loop: An Insight into Collaborative Computing<\/mark>","faq_items":[{"question":"What is Human-in-the-Loop (HITL)?","answer":"<p>Human-in-the-Loop is an interactive approach to computing that integrates human intelligence and input into the artificial intelligence (AI) systems' workflow. It's about using human insights at different stages of the machine learning model's life cycle, including data pre-processing, feature extraction, model training, testing, and post-deployment feedback.<\/p>"},{"question":"What is the history of Human-in-the-Loop?","answer":"<p>The concept of Human-in-the-Loop originated in control engineering, where systems required human interaction for operation. The first significant mention dates back to the 1940s in the field of cybernetics. The application of HITL in artificial intelligence, however, began to evolve in the early 21st century with advancements in technology.<\/p>"},{"question":"How does a Human-in-the-Loop system work?","answer":"<p>A HITL system functions through a collaborative framework involving humans and machines. It starts with humans pre-processing data, followed by the machine training on this data. The model then makes predictions, which humans review and correct, if necessary. These corrected outputs are then fed back into the system, which learns and improves from this feedback. This loop continues until the model's predictions reach a satisfactory level of accuracy.<\/p>"},{"question":"What are the key features of Human-in-the-Loop?","answer":"<p>The key features of HITL include collaborative intelligence, interactive learning, improved accuracy, versatility across various domains, and enhanced trust and transparency in AI systems.<\/p>"},{"question":"What types of Human-in-the-Loop systems exist?","answer":"<p>HITL systems can be categorized into Passive HITL, where human input is used for initial training or periodic updates; Active HITL, where humans continually validate and correct AI predictions; and Hybrid HITL, which combines the elements of both passive and active types.<\/p>"},{"question":"What are some challenges and solutions related to the use of Human-in-the-Loop?","answer":"<p>Challenges related to the use of HITL include scalability of human involvement, data privacy, and potential biases in human feedback. These can be addressed by using active learning techniques, implementing data anonymization and robust governance practices, and employing a diverse group of human reviewers to manage biases.<\/p>"},{"question":"How do proxy servers relate to Human-in-the-Loop?","answer":"<p>Proxy servers, such as those provided by OneProxy, can offer security for data used in HITL systems, ensuring privacy and compliance. They can also be used to create diverse and realistic testing environments for machine learning models, thus improving their robustness and generalizability.<\/p>"},{"question":"What are the future perspectives of Human-in-the-Loop?","answer":"<p>Future perspectives of HITL include deeper integration of human cognition with AI. Potential advancements could focus on technologies like brain-computer interfaces and affective computing, with an aim to make AI systems more empathetic, ethical, and adaptable.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/477510","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/477510\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/468577"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=477510"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}