A brancura da IA ​​apaga as pessoas de cor de nossos 'futuros imagina¡rios', argumentam os pesquisadores
A esmagadora 'brancura' da inteligaªncia artificial - de imagens de banco de imagens e robôs cinematogra¡ficos aos dialetos de assistentes virtuais - remove as pessoas de cor das visaµes da humanidade sobre seu futuro de alta tecnologia.
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)
Sophia, Hanson Robotics Ltd., palestrante no AI for GOOD Global Summit, Genebra
Crédito: ITU / R.Farrell
"Se a demografia do desenvolvedor não diversificar, a IA aumentara¡ a desigualdade racial"
Kanta Dihal
Isso éde acordo com especialistas da Universidade de Cambridge, que sugerem que as representações e esterea³tipos atuais sobre IA correm o risco de criar uma força de trabalho "racialmente homogaªnea" de aspirantes a tecna³logos, construindo ma¡quinas com preconceitos embutidos em seus algoritmos.
Eles dizem que as representações culturais da IA ​​como brancos precisam ser desafiadas, pois não oferecem um futuro "pa³s-racial", mas sim um do qual as pessoas de cor são simplesmente apagadas.
Os pesquisadores, do Centro Leverhulme para o Futuro da Inteligaªncia (CFI) de Cambridge , dizem que a IA, como outros tropos de ficção cientafica, sempre refletiu o pensamento racial em nossa sociedade.
Eles argumentam que existe uma longa tradição de esterea³tipos raciais grosseiros quando se trata de extraterrestres - desde o estrangeiro "orientalizado" de Ming, o Impiedoso, a caricatura caribenha de Jar Jar Binks.
Mas a inteligaªncia artificial éretratada como branca porque, ao contra¡rio das espanãcies de outros planetas, a IA tem atributos usados ​​para "justificar o colonialismo e a segregação" no passado: inteligaªncia superior, profissionalismo e poder.
“Dado que a sociedade promoveu, durante séculos, a associação de inteligaªncia com europeus brancos, éde se esperar que, quando esta cultura for solicitada a imaginar uma ma¡quina inteligente, imagine uma ma¡quina brancaâ€, disse a Dra. Kanta Dihal, que lidera o CFI's ' Iniciativa de descolonização da IA .
“As pessoas confiam na IA para tomar decisaµes. As representações culturais fomentam a ideia de que a IA émenos falavel do que os humanos. Nos casos em que esses sistemas são racializados como brancos, isso pode ter consequaªncias perigosas para os humanos que não o são â€, disse ela.
Junto com seu colega, Dr. Stephen Cave, Dihal éautora de um novo artigo sobre o caso da descolonização de IA, publicado hoje na revista Philosophy and Technology .
O artigo reaºne pesquisas recentes de uma variedade de campos, incluindo Interação Homem-Computador e Teoria Cratica da Raa§a, para demonstrar que as ma¡quinas podem ser racializadas e que isso perpetua os preconceitos raciais do "mundo real".
Isso inclui um trabalho sobre como os robôs são vistos como tendo identidades raciais distintas, com os robôs negros recebendo mais abuso on-line, e um estudo mostrando que as pessoas se sentem mais próximas de agentes virtuais quando percebem uma identidade racial compartilhada. Â
“Uma das interações mais comuns com a tecnologia de IA épor meio de assistentes virtuais em dispositivos como smartphones, que falam o inglês branco padrãoda classe médiaâ€, disse Dihal. “As ideias de adicionar dialetos negros foram rejeitadas como muito controversas ou fora do mercado-alvo.â€
Os pesquisadores conduziram sua própria investigação em mecanismos de busca e descobriram que todos os resultados não abstratos para IA tinham caracteristicas caucasianas ou eram literalmente da cor branca.
Um exemplo tapico de imagens de IA que adornam capas de livros e artigos da madia tradicional éSophia: o humana³ide hipercaucasiano declarado um “campea£o da inovação†pelo programa de desenvolvimento da ONU. Mas esta éapenas uma iteração recente, dizem os pesquisadores.
“As imagens de estoque de IA destilam as visualizações de ma¡quinas inteligentes na cultura popular ocidental a medida que se desenvolvem ao longo de décadasâ€, disse Cave, Diretor Executivo da CFI.
“De Terminator a Blade Runner, Metropolis a Ex Machina, todos são interpretados por atores brancos ou são visivelmente brancos na tela. Os andra³ides de metal ou pla¡stico recebem recursos brancos, como em I, Robot. Mesmo IA sem corpo - de HAL-9000 a Samantha in Her - tem vozes brancas. Sa³ muito recentemente alguns programas de TV, como Westworld, usaram personagens de IA com uma mistura de tons de pele. â€
Cave e Dihal apontam que atéobras claramente baseadas na rebelia£o de escravos, como Blade Runner, retratam suas IAs como brancas. “A IA éfrequentemente retratada como superando e superando a humanidadeâ€, disse Dihal. “A cultura branca não pode se imaginar sendo dominada por seres superiores semelhantes a raças que historicamente classificou como inferioresâ€.
“Imagens de IA não são representações genanãricas de ma¡quinas semelhantes a s humanas: sua brancura éum proxy de seu status e potencialâ€, acrescentou Dihal.
“As representações da IA ​​como brancas situam as ma¡quinas em uma hierarquia de poder acima dos grupos atualmente marginalizados e relegam as pessoas de cor a posições inferiores a s das ma¡quinas. Amedida que as ma¡quinas se tornam cada vez mais centrais para a tomada de decisão automatizada em áreas como emprego e justia§a criminal, isso pode ter grandes consequaªncias. â€
“A brancura percebida da IA ​​tornara¡ mais difacil para pessoas negras avana§ar no campo. Se a demografia do desenvolvedor não diversificar, a IA aumentara¡ a desigualdade racial. â€