{"id":2548,"date":"2023-07-15T09:55:38","date_gmt":"2023-07-15T09:55:38","guid":{"rendered":"https:\/\/dailyai.com\/?p=2548"},"modified":"2023-07-15T10:14:51","modified_gmt":"2023-07-15T10:14:51","slug":"how-does-the-right-to-be-forgotten-rtbf-function-in-the-context-of-ai","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2023\/07\/how-does-the-right-to-be-forgotten-rtbf-function-in-the-context-of-ai\/","title":{"rendered":"Como \u00e9 que o \"direito a ser esquecido\" (RTBF) funciona no contexto da IA?"},"content":{"rendered":"

Um novo estudo revela as complexidades do \"direito a ser esquecido\" (RTBF) do RGPD no contexto da IA.<\/b><\/p>\n

Tamb\u00e9m conhecido como o Direito \u00e0 Elimina\u00e7\u00e3o, este direito d\u00e1 aos indiv\u00edduos o poder de exigir que as empresas de tecnologia eliminem permanentemente os seus dados pessoais. No entanto, no contexto dos modelos de linguagem de grande dimens\u00e3o (LLM) e dos chatbots de IA, n\u00e3o existe uma forma simples de efetuar a engenharia inversa da forma\u00e7\u00e3o do modelo para remover dados espec\u00edficos.\u00a0<\/span><\/p>\n

O direito a ser esquecido vai para al\u00e9m do RGPD europeu. Existe legisla\u00e7\u00e3o compar\u00e1vel no Canad\u00e1 (CCPA), no Jap\u00e3o (APPI) e em v\u00e1rios outros pa\u00edses. Originalmente, os procedimentos de RTBF foram concebidos principalmente para motores de pesquisa, tornando relativamente simples para empresas como a Google e a Microsoft localizar e eliminar dados espec\u00edficos dos seus \u00edndices Web.<\/span><\/p>\n

Os investigadores da Data61 Business Unit, um ramo da Ag\u00eancia Nacional de Ci\u00eancia da Austr\u00e1lia especializado em IA, rob\u00f3tica e ciberseguran\u00e7a, exploraram a RTBF para IA numa <\/span>estudo recente<\/span><\/a>.<\/span><\/p>\n

O seu objetivo era investigar se e como a RTBF poderia funcionar numa nova era de modelos de IA treinados em grandes quantidades de dados extra\u00eddos da Internet. Estes dados cont\u00eam nomes e provavelmente outras informa\u00e7\u00f5es de identifica\u00e7\u00e3o pessoal (IPI).\u00a0<\/span><\/p>\n

Em alguns casos, as IA podem emitir informa\u00e7\u00f5es incorrectas ou mesmo difamat\u00f3rias sobre as pessoas.\u00a0<\/span>Nos \u00faltimos meses, a OpenAI tem estado envolvida em v\u00e1rios processos por difama\u00e7\u00e3o<\/a>A sua produ\u00e7\u00e3o alega que um homem cometeu fraude e outro agress\u00e3o sexual, o que n\u00e3o \u00e9 verdade em nenhum dos casos.\u00a0<\/span><\/p>\n

Em qualquer uma destas situa\u00e7\u00f5es, a elimina\u00e7\u00e3o dos dados que provocaram as alega\u00e7\u00f5es deve ser um m\u00ednimo absoluto.\u00a0<\/span><\/p>\n

No entanto, tal como salientado pelos investigadores, os algoritmos de aprendizagem autom\u00e1tica (ML) n\u00e3o s\u00e3o t\u00e3o simples como os motores de busca.<\/span><\/p>\n

Salientam que os LLM armazenam e processam a informa\u00e7\u00e3o \"de uma forma completamente diferente\" em compara\u00e7\u00e3o com a abordagem de indexa\u00e7\u00e3o utilizada pelos motores de busca.<\/span><\/p>\n

E como \u00e9 que o utilizador sabe se os seus dados pessoais est\u00e3o contidos no modelo? De acordo com os investigadores, os utilizadores s\u00f3 podem adquirir conhecimento sobre os seus dados pessoais nos LLM \"inspeccionando o conjunto de dados de treino original ou talvez solicitando o modelo\". Foi assim que Mark Walters, da Ge\u00f3rgia, EUA, descobriu que o seu nome estava associado a uma fraude nalguns dos resultados do ChatGPT.\u00a0<\/span><\/p>\n

ChatGPT disse sobre Walters, \"Mark Walters ('Walters') \u00e9 um indiv\u00edduo que reside na Ge\u00f3rgia... Walters violou estes deveres e responsabilidades, entre outras coisas, desviando e apropriando-se indevidamente dos fundos e activos da SAF em seu pr\u00f3prio benef\u00edcio, e manipulando os registos financeiros e extractos banc\u00e1rios da SAF para esconder as suas actividades.\"<\/p>\n

Embora os servi\u00e7os de IA coloquem desafios ao direito a ser esquecido, isso n\u00e3o significa que estejam isentos do respeito pelos direitos de privacidade.\u00a0<\/span><\/p>\n

Os investigadores prop\u00f5em v\u00e1rias estrat\u00e9gias para eliminar dados dos modelos de forma\u00e7\u00e3o de IA, incluindo a t\u00e9cnica SISA de \"desaprendizagem de m\u00e1quinas\", a desaprendizagem de gr\u00e1ficos indutivos e a elimina\u00e7\u00e3o aproximada de dados, entre outras.\u00a0<\/span><\/p>\n

Estes m\u00e9todos poderiam permitir aos criadores de IA sondar de forma fi\u00e1vel os seus conjuntos de dados e remover dados espec\u00edficos para manter a RTBF.<\/span><\/p>\n

Pode remover os seus dados de modelos de IA como o ChatGPT?<\/span><\/h2>\n

A OpenAI introduziu procedimentos para que as pessoas possam solicitar a elimina\u00e7\u00e3o de dados pessoais em modelos de IA e optar pela n\u00e3o utiliza\u00e7\u00e3o futura de dados para treinar a IA.\u00a0<\/span><\/p>\n

Este artigo<\/span><\/a> abrange v\u00e1rios aspectos da pol\u00edtica de privacidade da OpenAI, incluindo o direito ao apagamento, que pode ser solicitado atrav\u00e9s de <\/span>este formul\u00e1rio<\/span><\/a>. O tratamento espec\u00edfico destes pedidos continua a ser nebuloso e h\u00e1 poucos ind\u00edcios de pessoas que tenham apresentado pedidos de RTBF com \u00eaxito.\u00a0<\/span><\/p>\n

Al\u00e9m disso, os utilizadores podem fazer um Pedido de Acesso do Titular dos Dados (DSAR) para exercer os direitos concedidos pelo RGPD, como a corre\u00e7\u00e3o, restri\u00e7\u00e3o ou transfer\u00eancia de dados.\u00a0<\/span><\/p>\n

No entanto, a OpenAI observou que a corre\u00e7\u00e3o de dados imprecisos gerados pelos seus modelos \u00e9 atualmente invi\u00e1vel, pelo que a elimina\u00e7\u00e3o seria provavelmente a solu\u00e7\u00e3o.<\/span><\/p>\n

Apesar destes mecanismos, a OpenAI alertou para o facto de poder recusar ou dar apenas seguimento parcial aos pedidos com base em restri\u00e7\u00f5es legais e no equil\u00edbrio entre os pedidos de privacidade e a liberdade de express\u00e3o.<\/span><\/p>\n

A OpenAI tamb\u00e9m oferece uma op\u00e7\u00e3o de exclus\u00e3o para os utilizadores que n\u00e3o querem que os seus dados sejam utilizados para o treino de IA atrav\u00e9s das defini\u00e7\u00f5es da conta ChatGPT.<\/span><\/p>\n

A OpenAI disponibiliza o seguinte endere\u00e7o de correio eletr\u00f3nico para correspond\u00eancia sobre este assunto: <\/span>dsar@openai.com<\/span><\/a>.<\/span><\/p>\n

Naturalmente, o ChatGPT n\u00e3o \u00e9 a \u00fanica IA treinada com dados abertos da Internet. Qualquer pessoa que deseje remover as suas informa\u00e7\u00f5es pessoais de todos os principais chatbots de IA p\u00fablicos deve contactar cada programador separadamente.<\/span><\/p>\n

A realidade \u00e9 que a maioria dos dados publicados na Internet est\u00e1 \u00e0 disposi\u00e7\u00e3o das empresas de IA e a remo\u00e7\u00e3o de dados dos modelos \u00e9 um desafio excecional.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Um novo estudo revela as complexidades do \"direito a ser esquecido\" (RTBF) do RGPD no contexto da IA. Tamb\u00e9m conhecido como o Direito ao Apagamento, este direito d\u00e1 aos indiv\u00edduos o poder de exigir que as empresas de tecnologia apaguem permanentemente os seus dados pessoais. No entanto, no contexto dos modelos lingu\u00edsticos de grande dimens\u00e3o (LLM) e dos chatbots de IA, n\u00e3o existe uma forma simples de efetuar a engenharia inversa da forma\u00e7\u00e3o do modelo para remover dados espec\u00edficos. O direito a ser esquecido vai para al\u00e9m do RGPD europeu. Existe legisla\u00e7\u00e3o compar\u00e1vel no Canad\u00e1 (CCPA), no Jap\u00e3o (APPI) e em v\u00e1rios outros pa\u00edses. Originalmente, os procedimentos RTBF foram concebidos principalmente para motores de busca, o que tornou relativamente simples<\/p>","protected":false},"author":2,"featured_media":2549,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[219,218,220,92],"class_list":["post-2548","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-policy","tag-data-protection","tag-gdpr","tag-privacy","tag-regulation"],"yoast_head":"\nHow does the "right to be forgotten" (RTBF) function in the context of AI? | DailyAI<\/title>\n<meta name=\"description\" content=\"A new study reveals the complexities of the GDPR\u2019s "right to be forgotten" (RTBF) in the context of AI.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/pt\/2023\/07\/how-does-the-right-to-be-forgotten-rtbf-function-in-the-context-of-ai\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How does the "right to be forgotten" (RTBF) function in the context of AI? 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