{"id":2867,"date":"2023-07-22T11:49:25","date_gmt":"2023-07-22T11:49:25","guid":{"rendered":"https:\/\/dailyai.com\/?p=2867"},"modified":"2023-07-22T23:19:29","modified_gmt":"2023-07-22T23:19:29","slug":"leading-ai-companies-commit-to-developing-watermarking-techniques","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2023\/07\/leading-ai-companies-commit-to-developing-watermarking-techniques\/","title":{"rendered":"As principais empresas de IA comprometem-se a desenvolver t\u00e9cnicas de marca de \u00e1gua"},"content":{"rendered":"

Numa tentativa de combater as falsifica\u00e7\u00f5es profundas e a desinforma\u00e7\u00e3o, as sete empresas de IA que concordaram com o quadro volunt\u00e1rio dos EUA para a IA comprometeram-se a colocar marcas de \u00e1gua nos conte\u00fados gerados pela IA.<\/b><\/p>\n

Os participantes do quadro volunt\u00e1rio<\/a>anunciados pela Casa Branca em 21 de junho, incluem a Google, a OpenAI, a Microsoft, a Meta, a Amazon, a Anthropic e a Inflection. <\/span><\/p>\n

Como parte desse quadro, estas empresas comprometeram-se a desenvolver marcas de \u00e1gua para ajudar o p\u00fablico a identificar a origem dos conte\u00fados gerados por IA e reduzir o engano. <\/span><\/p>\n

Tal como uma marca de \u00e1gua convencional, uma marca de \u00e1gua de IA \u00e9 anexada a uma imagem, v\u00eddeo, ficheiro de \u00e1udio ou texto.\u00a0<\/span><\/p>\n

A coloca\u00e7\u00e3o de uma marca de \u00e1gua nos conte\u00fados gerados pela IA poder\u00e1 reduzir as burlas, as campanhas virais falsas e a sextors\u00e3o. \"Esta marca de \u00e1gua permitir\u00e1 que a criatividade com IA flores\u00e7a, mas reduzir\u00e1 os riscos de fraude e engano\", afirmou a Casa Branca.\u00a0<\/span><\/p>\n

Num <\/span>publica\u00e7\u00e3o no blogue<\/span><\/a> publicado pouco depois dos an\u00fancios da Casa Branca, a OpenAI detalhou o seu acordo para \"desenvolver mecanismos robustos, incluindo sistemas de proveni\u00eancia e\/ou marca de \u00e1gua para conte\u00fados \u00e1udio ou visuais\". Tamb\u00e9m desenvolver\u00e1 \"ferramentas ou API para determinar se um conte\u00fado foi criado com o seu sistema\".<\/span><\/p>\n

A Google planeia aumentar a fiabilidade da informa\u00e7\u00e3o integrando metadados e \"outras t\u00e9cnicas inovadoras\", para al\u00e9m da marca de \u00e1gua.\u00a0<\/span><\/p>\n

V\u00e1rias outras salvaguardas foram anunciadas pela Casa Branca na sexta-feira, incluindo a realiza\u00e7\u00e3o de testes internos e externos em sistemas de IA antes do lan\u00e7amento, o aumento do investimento em ciberseguran\u00e7a e a promo\u00e7\u00e3o da colabora\u00e7\u00e3o em todo o sector para reduzir os riscos da IA.<\/span><\/p>\n

A OpenAI afirmou que estes compromissos marcam \"um passo importante no avan\u00e7o de uma governa\u00e7\u00e3o significativa e eficaz da IA, tanto nos EUA como em todo o mundo\". <\/span><\/p>\n

A empresa tamb\u00e9m prometeu \"investir em investiga\u00e7\u00e3o em \u00e1reas que podem ajudar a informar a regulamenta\u00e7\u00e3o, tais como t\u00e9cnicas para avaliar capacidades potencialmente perigosas em modelos de IA\".<\/span><\/p>\n

Nick Clegg, presidente da Meta para os assuntos globais, fez eco do sentimento da OpenAI, descrevendo estes compromissos como um \"primeiro passo importante para garantir que se estabele\u00e7am barreiras de prote\u00e7\u00e3o respons\u00e1veis para a IA\".<\/span><\/p>\n

As marcas de \u00e1gua com IA funcionam?<\/span><\/h2>\n

A marca de \u00e1gua de conte\u00fados gerados por IA, embora concetualmente apelativa, est\u00e1 longe de ser infal\u00edvel.\u00a0<\/span><\/p>\n

As imagens, os v\u00eddeos e as grava\u00e7\u00f5es de \u00e1udio podem conter gr\u00e1ficos ou \u00e1udio min\u00fasculos e t\u00e9nues que assinalam a sua origem gerada por IA.<\/span><\/p>\n

Do mesmo modo, a integra\u00e7\u00e3o de metadados em ficheiros gerados por IA pode fornecer informa\u00e7\u00f5es sobre a fonte e o processo de cria\u00e7\u00e3o do conte\u00fado. No entanto, a remo\u00e7\u00e3o de marcas de \u00e1gua utilizando outras ferramentas de IA ou a remo\u00e7\u00e3o de metadados ser\u00e1 provavelmente simples.\u00a0<\/span><\/p>\n

Se as marcas de \u00e1gua puderem ser removidas, o conte\u00fado gerado por IA sem marca de \u00e1gua ganha subitamente legitimidade. A aus\u00eancia de uma marca de \u00e1gua pode ser utilizada para argumentar que uma imagem \u00e9 genu\u00edna quando n\u00e3o o \u00e9 - um compromisso potencialmente perigoso.\u00a0<\/span><\/p>\n

Quando se trata de texto gerado por IA, n\u00e3o existe uma solu\u00e7\u00e3o direta. Ao contr\u00e1rio das imagens ou do \u00e1udio, o texto n\u00e3o se presta facilmente \u00e0 incorpora\u00e7\u00e3o de marcas de \u00e1gua.\u00a0<\/span><\/p>\n

A principal abordagem consiste em passar o texto por detectores de IA, que analisam a perplexidade do texto - uma medida da probabilidade de um modelo de IA prever uma determinada sequ\u00eancia de palavras - para estimar se o texto \u00e9 gerado por IA.\u00a0<\/span><\/p>\n

Os detectores de IA t\u00eam as suas defici\u00eancias. Frequentemente, produzem taxas elevadas de falsos positivos, levando a que conte\u00fados n\u00e3o gerados por IA sejam erradamente assinalados.\u00a0<\/span><\/p>\n

Este problema \u00e9 agravado quando se analisa texto escrito por falantes n\u00e3o nativos de ingl\u00eas, que podem utilizar express\u00f5es menos comuns ou ter uma sintaxe at\u00edpica, aumentando ainda mais as taxas de falsos positivos.<\/span> Um estudo recente<\/span><\/a> desaconselhou a utiliza\u00e7\u00e3o de detectores de IA em contextos de educa\u00e7\u00e3o e recrutamento por estas raz\u00f5es.<\/span><\/p>\n

Al\u00e9m disso, \u00e0 medida que os modelos de IA evoluem, a linha entre o conte\u00fado escrito por humanos e o conte\u00fado escrito por IA torna-se cada vez mais t\u00e9nue. \u00c0 medida que a IA melhora a imita\u00e7\u00e3o dos estilos de escrita humana, os detectores baseados na perplexidade tornar-se-\u00e3o menos fi\u00e1veis.\u00a0<\/span><\/p>\n

Embora a marca de \u00e1gua seja um passo no sentido de melhorar a transpar\u00eancia e a responsabiliza\u00e7\u00e3o dos conte\u00fados gerados por IA, n\u00e3o \u00e9 uma solu\u00e7\u00e3o simples e n\u00e3o serve como dissuasor final ou \"bala de prata\". <\/span><\/p>","protected":false},"excerpt":{"rendered":"

Numa tentativa de combater as falsifica\u00e7\u00f5es profundas e a desinforma\u00e7\u00e3o, as 7 empresas de IA que concordaram com o quadro volunt\u00e1rio dos EUA para a IA comprometeram-se a colocar marcas de \u00e1gua nos conte\u00fados gerados por IA. Os participantes do quadro volunt\u00e1rio, anunciado pela Casa Branca a 21 de junho, incluem a Google, a OpenAI, a Microsoft, a Meta, a Amazon, a Anthropic e a Inflection. Como parte desse quadro, estas empresas comprometeram-se a desenvolver marcas de \u00e1gua para ajudar o p\u00fablico a identificar a origem dos conte\u00fados gerados por IA e reduzir o engano. Tal como uma marca de \u00e1gua convencional, uma marca de \u00e1gua de IA \u00e9 anexada a uma imagem, v\u00eddeo, ficheiro de \u00e1udio ou texto. A coloca\u00e7\u00e3o de marcas de \u00e1gua em conte\u00fados gerados por IA poder\u00e1 reduzir<\/p>","protected":false},"author":2,"featured_media":2869,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[102,121,93,91,92,239],"class_list":["post-2867","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-policy","tag-google","tag-microsoft","tag-openai","tag-policy","tag-regulation","tag-white-house"],"yoast_head":"\nLeading AI companies commit to developing watermarking techniques | DailyAI<\/title>\n<meta name=\"description\" content=\"In a bid to tackle deep fakes and misinformation, the 7 AI companies that agreed to a voluntary framework yesterday have pledged to develop technology that will watermark AI-generated content.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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