Cleaning Up ChatGPT’s Language Takes Heavy Toll on Human Workers

July 24, 2023

By Karen Hao and Deepa Seetharaman | Photographs by Natalia Jidovanu for The Wall Street Journal. July 24, 2023 12:01 am ET. Text. NAIROBI, Kenya—ChatGPT and other new artificial-intelligence …

https://www.wsj.com/articles/chatgpt-openai-content-abusive-sexually-explicit-harassment-kenya-workers-on-human-workers-cf191483

Cleaning Up ChatGPT’s Language Takes Heavy Toll on Human Workers <body> <h1> Array ( [0] => xleaning up chatgpt’s language takes heavy toll on human workers [1] => vleaning up chatgpt’s language takes heavy toll on human workers [2] => fleaning up chatgpt’s language takes heavy toll on human workers [3] => dleaning up chatgpt’s language takes heavy toll on human workers [4] => ckeaning up chatgpt’s language takes heavy toll on human workers [5] => cpeaning up chatgpt’s language takes heavy toll on human workers [6] => coeaning up chatgpt’s language takes heavy toll on human workers [7] => clwaning up chatgpt’s language takes heavy toll on human workers [8] => clsaning up chatgpt’s language takes heavy toll on human workers [9] => cldaning up chatgpt’s language takes heavy toll on human workers [10] => clraning up chatgpt’s language takes heavy toll on human workers [11] => cl4aning up chatgpt’s language takes heavy toll on human workers [12] => cl3aning up chatgpt’s language takes heavy toll on human workers [13] => clezning up chatgpt’s language takes heavy toll on human workers [14] => clesning up chatgpt’s language takes heavy toll on human workers [15] => clewning up chatgpt’s language takes heavy toll on human workers [16] => cleqning up chatgpt’s language takes heavy toll on human workers [17] => cleabing up chatgpt’s language takes heavy toll on human workers [18] => cleaming up chatgpt’s language takes heavy toll on human workers [19] => cleajing up chatgpt’s language takes heavy toll on human workers [20] => cleahing up chatgpt’s language takes heavy toll on human workers [21] => cleanung up chatgpt’s language takes heavy toll on human workers [22] => cleanjng up chatgpt’s language takes heavy toll on human workers [23] => cleankng up chatgpt’s language takes heavy toll on human workers [24] => cleanong up chatgpt’s language takes heavy toll on human workers [25] => clean9ng up chatgpt’s language takes heavy toll on human workers [26] => clean8ng up chatgpt’s language takes heavy toll on human workers [27] => cleanibg up chatgpt’s language takes heavy toll on human workers [28] => cleanimg up chatgpt’s language takes heavy toll on human workers [29] => cleanijg up chatgpt’s language takes heavy toll on human workers [30] => cleanihg up chatgpt’s language takes heavy toll on human workers [31] => cleaninf up chatgpt’s language takes heavy toll on human workers [32] => cleaninv up chatgpt’s language takes heavy toll on human workers [33] => cleaninb up chatgpt’s language takes heavy toll on human workers [34] => cleaninh up chatgpt’s language takes heavy toll on human workers [35] => cleaniny up chatgpt’s language takes heavy toll on human workers [36] => cleanint up chatgpt’s language takes heavy toll on human workers [37] => cleaning yp chatgpt’s language takes heavy toll on human workers [38] => cleaning hp chatgpt’s language takes heavy toll on human workers [39] => cleaning jp chatgpt’s language takes heavy toll on human workers [40] => cleaning ip chatgpt’s language takes heavy toll on human workers [41] => cleaning 8p chatgpt’s language takes heavy toll on human workers [42] => cleaning 7p chatgpt’s language takes heavy toll on human workers [43] => cleaning uo chatgpt’s language takes heavy toll on human workers [44] => cleaning ul chatgpt’s language takes heavy toll on human workers [45] => cleaning u- chatgpt’s language takes heavy toll on human workers [46] => cleaning u0 chatgpt’s language takes heavy toll on human workers [47] => cleaning up xhatgpt’s language takes heavy toll on human workers [48] => cleaning up vhatgpt’s language takes heavy toll on human workers [49] => cleaning up fhatgpt’s language takes heavy toll on human workers [50] => cleaning up dhatgpt’s language takes heavy toll on human workers [51] => cleaning up cgatgpt’s language takes heavy toll on human workers [52] => cleaning up cbatgpt’s language takes heavy toll on human workers [53] => cleaning up cnatgpt’s language takes heavy toll on human workers [54] => cleaning up cjatgpt’s language takes heavy toll on human workers [55] => cleaning up cuatgpt’s language takes heavy toll on human workers [56] => cleaning up cyatgpt’s language takes heavy toll on human workers [57] => cleaning up chztgpt’s language takes heavy toll on human workers [58] => cleaning up chstgpt’s language takes heavy toll on human workers [59] => cleaning up chwtgpt’s language takes heavy toll on human workers [60] => cleaning up chqtgpt’s language takes heavy toll on human workers [61] => cleaning up chargpt’s language takes heavy toll on human workers [62] => cleaning up chafgpt’s language takes heavy toll on human workers [63] => cleaning up chaggpt’s language takes heavy toll on human workers [64] => cleaning up chaygpt’s language takes heavy toll on human workers [65] => cleaning up cha6gpt’s language takes heavy toll on human workers [66] => cleaning up cha5gpt’s language takes heavy toll on human workers [67] => cleaning up chatfpt’s language takes heavy toll on human workers [68] => cleaning up chatvpt’s language takes heavy toll on human workers [69] => cleaning up chatbpt’s language takes heavy toll on human workers [70] => cleaning up chathpt’s language takes heavy toll on human workers [71] => cleaning up chatypt’s language takes heavy toll on human workers [72] => cleaning up chattpt’s language takes heavy toll on human workers [73] => cleaning up chatgot’s language takes heavy toll on human workers [74] => cleaning up chatglt’s language takes heavy toll on human workers [75] => cleaning up chatg-t’s language takes heavy toll on human workers [76] => cleaning up chatg0t’s language takes heavy toll on human workers [77] => cleaning up chatgpr’s language takes heavy toll on human workers [78] => cleaning up chatgpf’s language takes heavy toll on human workers [79] => cleaning up chatgpg’s language takes heavy toll on human workers [80] => cleaning up chatgpy’s language takes heavy toll on human workers [81] => cleaning up chatgp6’s language takes heavy toll on human workers [82] => cleaning up chatgp5’s language takes heavy toll on human workers [83] => cleaning up chatgpt’a language takes heavy toll on human workers [84] => cleaning up chatgpt’z language takes heavy toll on human workers [85] => cleaning up chatgpt’x language takes heavy toll on human workers [86] => cleaning up chatgpt’d language takes heavy toll on human workers [87] => cleaning up chatgpt’e language takes heavy toll on human workers [88] => cleaning up chatgpt’w language takes heavy toll on human workers [89] => cleaning up chatgpt’s kanguage takes heavy toll on human workers [90] => cleaning up chatgpt’s panguage takes heavy toll on human workers [91] => cleaning up chatgpt’s oanguage takes heavy toll on human workers [92] => cleaning up chatgpt’s lznguage takes heavy toll on human workers [93] => cleaning up chatgpt’s lsnguage takes heavy toll on human workers [94] => cleaning up chatgpt’s lwnguage takes heavy toll on human workers [95] => cleaning up chatgpt’s lqnguage takes heavy toll on human workers [96] => cleaning up chatgpt’s labguage takes heavy toll on human workers [97] => cleaning up chatgpt’s lamguage takes heavy toll on human workers [98] => cleaning up chatgpt’s lajguage takes heavy toll on human workers [99] => cleaning up chatgpt’s lahguage takes heavy toll on human workers [100] => cleaning up chatgpt’s lanfuage takes heavy toll on human workers [101] => cleaning up chatgpt’s lanvuage takes heavy toll on human workers [102] => cleaning up chatgpt’s lanbuage takes heavy toll on human workers [103] => cleaning up chatgpt’s lanhuage takes heavy toll on human workers [104] => cleaning up chatgpt’s lanyuage takes heavy toll on human workers [105] => cleaning up chatgpt’s lantuage takes heavy toll on human workers [106] => cleaning up chatgpt’s langyage takes heavy toll on human workers [107] => cleaning up chatgpt’s langhage takes heavy toll on human workers [108] => cleaning up chatgpt’s langjage takes heavy toll on human workers [109] => cleaning up chatgpt’s langiage takes heavy toll on human workers [110] => cleaning up chatgpt’s lang8age takes heavy toll on human workers [111] => cleaning up chatgpt’s lang7age takes heavy toll on human workers [112] => cleaning up chatgpt’s languzge takes heavy toll on human workers [113] => cleaning up chatgpt’s langusge takes heavy toll on human workers [114] => cleaning up chatgpt’s languwge takes heavy toll on human workers [115] => cleaning up chatgpt’s languqge takes heavy toll on human workers [116] => cleaning up chatgpt’s languafe takes heavy toll on human workers [117] => cleaning up chatgpt’s languave takes heavy toll on human workers [118] => cleaning up chatgpt’s languabe takes heavy toll on human workers [119] => cleaning up chatgpt’s languahe takes heavy toll on human workers [120] => cleaning up chatgpt’s languaye takes heavy toll on human workers [121] => cleaning up chatgpt’s languate takes heavy toll on human workers [122] => cleaning up chatgpt’s languagw takes heavy toll on human workers [123] => cleaning up chatgpt’s languags takes heavy toll on human workers [124] => cleaning up chatgpt’s languagd takes heavy toll on human workers [125] => cleaning up chatgpt’s languagr takes heavy toll on human workers [126] => cleaning up chatgpt’s languag4 takes heavy toll on human workers [127] => cleaning up chatgpt’s languag3 takes heavy toll on human workers [128] => cleaning up chatgpt’s language rakes heavy toll on human workers [129] => cleaning up chatgpt’s language fakes heavy toll on human workers [130] => cleaning up chatgpt’s language gakes heavy toll on human workers [131] => cleaning up chatgpt’s language yakes heavy toll on human workers [132] => cleaning up chatgpt’s language 6akes heavy toll on human workers [133] => cleaning up chatgpt’s language 5akes heavy toll on human workers [134] => cleaning up chatgpt’s language tzkes heavy toll on human workers [135] => cleaning up chatgpt’s language tskes heavy toll on human workers [136] => cleaning up chatgpt’s language twkes heavy toll on human workers [137] => cleaning up chatgpt’s language tqkes heavy toll on human workers [138] => cleaning up chatgpt’s language tajes heavy toll on human workers [139] => cleaning up chatgpt’s language tames heavy toll on human workers [140] => cleaning up chatgpt’s language tales heavy toll on human workers [141] => cleaning up chatgpt’s language taoes heavy toll on human workers [142] => cleaning up chatgpt’s language taies heavy toll on human workers [143] => cleaning up chatgpt’s language takws heavy toll on human workers [144] => cleaning up chatgpt’s language takss heavy toll on human workers [145] => cleaning up chatgpt’s language takds heavy toll on human workers [146] => cleaning up chatgpt’s language takrs heavy toll on human workers [147] => cleaning up chatgpt’s language tak4s heavy toll on human workers [148] => cleaning up chatgpt’s language tak3s heavy toll on human workers [149] => cleaning up chatgpt’s language takea heavy toll on human workers [150] => cleaning up chatgpt’s language takez heavy toll on human workers [151] => cleaning up chatgpt’s language takex heavy toll on human workers [152] => cleaning up chatgpt’s language taked heavy toll on human workers [153] => cleaning up chatgpt’s language takee heavy toll on human workers [154] => cleaning up chatgpt’s language takew heavy toll on human workers [155] => cleaning up chatgpt’s language takes geavy toll on human workers [156] => cleaning up chatgpt’s language takes beavy toll on human workers [157] => cleaning up chatgpt’s language takes neavy toll on human workers [158] => cleaning up chatgpt’s language takes jeavy toll on human workers [159] => cleaning up chatgpt’s language takes ueavy toll on human workers [160] => cleaning up chatgpt’s language takes yeavy toll on human workers [161] => cleaning up chatgpt’s language takes hwavy toll on human workers [162] => cleaning up chatgpt’s language takes hsavy toll on human workers [163] => cleaning up chatgpt’s language takes hdavy toll on human workers [164] => cleaning up chatgpt’s language takes hravy toll on human workers [165] => cleaning up chatgpt’s language takes h4avy toll on human workers [166] => cleaning up chatgpt’s language takes h3avy toll on human workers [167] => cleaning up chatgpt’s language takes hezvy toll on human workers [168] => cleaning up chatgpt’s language takes hesvy toll on human workers [169] => cleaning up chatgpt’s language takes hewvy toll on human workers [170] => cleaning up chatgpt’s language takes heqvy toll on human workers [171] => cleaning up chatgpt’s language takes heacy toll on human workers [172] => cleaning up chatgpt’s language takes heaby toll on human workers [173] => cleaning up chatgpt’s language takes heagy toll on human workers [174] => cleaning up chatgpt’s language takes heafy toll on human workers [175] => cleaning up chatgpt’s language takes heavt toll on human workers [176] => cleaning up chatgpt’s language takes heavg toll on human workers [177] => cleaning up chatgpt’s language takes heavh toll on human workers [178] => cleaning up chatgpt’s language takes heavu toll on human workers [179] => cleaning up chatgpt’s language takes heav7 toll on human workers [180] => cleaning up chatgpt’s language takes heav6 toll on human workers [181] => cleaning up chatgpt’s language takes heavy roll on human workers [182] => cleaning up chatgpt’s language takes heavy foll on human workers [183] => cleaning up chatgpt’s language takes heavy goll on human workers [184] => cleaning up chatgpt’s language takes heavy yoll on human workers [185] => cleaning up chatgpt’s language takes heavy 6oll on human workers [186] => cleaning up chatgpt’s language takes heavy 5oll on human workers [187] => cleaning up chatgpt’s language takes heavy till on human workers [188] => cleaning up chatgpt’s language takes heavy tkll on human workers [189] => cleaning up chatgpt’s language takes heavy tlll on human workers [190] => cleaning up chatgpt’s language takes heavy tpll on human workers [191] => cleaning up chatgpt’s language takes heavy t0ll on human workers [192] => cleaning up chatgpt’s language takes heavy t9ll on human workers [193] => cleaning up chatgpt’s language takes heavy tokl on human workers [194] => cleaning up chatgpt’s language takes heavy topl on human workers [195] => cleaning up chatgpt’s language takes heavy tool on human workers [196] => cleaning up chatgpt’s language takes heavy tolk on human workers [197] => cleaning up chatgpt’s language takes heavy tolp on human workers [198] => cleaning up chatgpt’s language takes heavy tolo on human workers [199] => cleaning up chatgpt’s language takes heavy toll in human workers [200] => cleaning up chatgpt’s language takes heavy toll kn human workers [201] => cleaning up chatgpt’s language takes heavy toll ln human workers [202] => cleaning up chatgpt’s language takes heavy toll pn human workers [203] => cleaning up chatgpt’s language takes heavy toll 0n human workers [204] => cleaning up chatgpt’s language takes heavy toll 9n human workers [205] => cleaning up chatgpt’s language takes heavy toll ob human workers [206] => cleaning up chatgpt’s language takes heavy toll om human workers [207] => cleaning up chatgpt’s language takes heavy toll oj human workers [208] => cleaning up chatgpt’s language takes heavy toll oh human workers [209] => cleaning up chatgpt’s language takes heavy toll on guman workers [210] => cleaning up chatgpt’s language takes heavy toll on buman workers [211] => cleaning up chatgpt’s language takes heavy toll on numan workers [212] => cleaning up chatgpt’s language takes heavy toll on juman workers [213] => cleaning up chatgpt’s language takes heavy toll on uuman workers [214] => cleaning up chatgpt’s language takes heavy toll on yuman workers [215] => cleaning up chatgpt’s language takes heavy toll on hyman workers [216] => cleaning up chatgpt’s language takes heavy toll on hhman workers [217] => cleaning up chatgpt’s language takes heavy toll on hjman workers [218] => cleaning up chatgpt’s language takes heavy toll on himan workers [219] => cleaning up chatgpt’s language takes heavy toll on h8man workers [220] => cleaning up chatgpt’s language takes heavy toll on h7man workers [221] => cleaning up chatgpt’s language takes heavy toll on hunan workers [222] => cleaning up chatgpt’s language takes heavy toll on hukan workers [223] => cleaning up chatgpt’s language takes heavy toll on hujan workers [224] => cleaning up chatgpt’s language takes heavy toll on humzn workers [225] => cleaning up chatgpt’s language takes heavy toll on humsn workers [226] => cleaning up chatgpt’s language takes heavy toll on humwn workers [227] => cleaning up chatgpt’s language takes heavy toll on humqn workers [228] => cleaning up chatgpt’s language takes heavy toll on humab workers [229] => cleaning up chatgpt’s language takes heavy toll on humam workers [230] => cleaning up chatgpt’s language takes heavy toll on humaj workers [231] => cleaning up chatgpt’s language takes heavy toll on humah workers [232] => cleaning up chatgpt’s language takes heavy toll on human qorkers [233] => cleaning up chatgpt’s language takes heavy toll on human aorkers [234] => cleaning up chatgpt’s language takes heavy toll on human sorkers [235] => cleaning up chatgpt’s language takes heavy toll on human eorkers [236] => cleaning up chatgpt’s language takes heavy toll on human 3orkers [237] => cleaning up chatgpt’s language takes heavy toll on human 2orkers [238] => cleaning up chatgpt’s language takes heavy toll on human wirkers [239] => cleaning up chatgpt’s language takes heavy toll on human wkrkers [240] => cleaning up chatgpt’s language takes heavy toll on human wlrkers [241] => cleaning up chatgpt’s language takes heavy toll on human wprkers [242] => cleaning up chatgpt’s language takes heavy toll on human w0rkers [243] => cleaning up chatgpt’s language takes heavy toll on human w9rkers [244] => cleaning up chatgpt’s language takes heavy toll on human woekers [245] => cleaning up chatgpt’s language takes heavy toll on human wodkers [246] => cleaning up chatgpt’s language takes heavy toll on human wofkers [247] => cleaning up chatgpt’s language takes heavy toll on human wotkers [248] => cleaning up chatgpt’s language takes heavy toll on human wo5kers [249] => cleaning up chatgpt’s language takes heavy toll on human wo4kers [250] => cleaning up chatgpt’s language takes heavy toll on human worjers [251] => cleaning up chatgpt’s language takes heavy toll on human wormers [252] => cleaning up chatgpt’s language takes heavy toll on human worlers [253] => cleaning up chatgpt’s language takes heavy toll on human woroers [254] => cleaning up chatgpt’s language takes heavy toll on human woriers [255] => cleaning up chatgpt’s language takes heavy toll on human workwrs [256] => cleaning up chatgpt’s language takes heavy toll on human worksrs [257] => cleaning up chatgpt’s language takes heavy toll on human workdrs [258] => cleaning up chatgpt’s language takes heavy toll on human workrrs [259] => cleaning up chatgpt’s language takes heavy toll on human work4rs [260] => cleaning up chatgpt’s language takes heavy toll on human work3rs [261] => cleaning up chatgpt’s language takes heavy toll on human workees [262] => cleaning up chatgpt’s language takes heavy toll on human workeds [263] => cleaning up chatgpt’s language takes heavy toll on human workefs [264] => cleaning up chatgpt’s language takes heavy toll on human workets [265] => cleaning up chatgpt’s language takes heavy toll on human worke5s [266] => cleaning up chatgpt’s language takes heavy toll on human worke4s [267] => cleaning up chatgpt’s language takes heavy toll on human workera [268] => cleaning up chatgpt’s language takes heavy toll on human workerz [269] => cleaning up chatgpt’s language takes heavy toll on human workerx [270] => cleaning up chatgpt’s language takes heavy toll on human workerd [271] => cleaning up chatgpt’s language takes heavy toll on human workere [272] => cleaning up chatgpt’s language takes heavy toll on human workerw ) https://clipperroutesevere.com/kdjbw4ywu?key=a54852e5dee5f9fa314d768d692142d1 </h1> </body>