Organizações de notícias desenvolvem padrões para uso de inteligência artificial em redações
A Associated Press emitiu diretrizes sobre inteligência artificial, dizendo que a ferramenta não pode ser usada para criar conteúdo e imagens publicáveis para o serviço de notícias, enquanto incentiva os funcionários a se familiarizarem com a...
![](data:image/jpeg;base64,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)
O logotipo da Associated Press é exibido na entrada do escritório da organização de notícias em Nova York na quinta-feira, 13 de julho de 2023. A Associated Press emitiu diretrizes para seus jornalistas sobre o uso de inteligência artificial, dizendo que a ferramenta não pode ser usada para criar conteúdo publicável e imagens para o serviço de notícias. (Foto AP/Aaron Jackson, arquivo
A Associated Press emitiu diretrizes sobre inteligência artificial, dizendo que a ferramenta não pode ser usada para criar conteúdo e imagens publicáveis para o serviço de notícias, enquanto incentiva os funcionários a se familiarizarem com a tecnologia.
A AP é uma das poucas organizações de notícias que começaram a definir regras sobre como integrar ferramentas tecnológicas de rápido desenvolvimento, como o ChatGPT, em seu trabalho. O serviço juntará isso nesta quinta-feira (17) com um capítulo em seu influente livro de estilo que aconselha os jornalistas sobre como cobrir a história, completo com um glossário de terminologia.
"Nosso objetivo é dar às pessoas uma boa maneira de entender como podemos fazer um pouco de experimentação, mas também ser seguro", disse Amanda Barrett, vice-presidente de padrões de notícias e inclusão da AP.
O think tank de jornalismo Poynter Institute, dizendo que foi um “momento de transformação”, instou as organizações de notícias nesta primavera a criar padrões para o uso da IA e compartilhar as políticas com leitores e telespectadores.
A IA generativa tem a capacidade de criar texto, imagens, áudio e vídeo sob comando, mas ainda não é totalmente capaz de distinguir entre fato e ficção.
Como resultado, a AP disse que o material produzido por inteligência artificial deve ser examinado com cuidado, assim como o material de qualquer outra fonte de notícias. Da mesma forma, a AP disse que um segmento de foto, vídeo ou áudio gerado por IA não deve ser usado, a menos que o material alterado seja o próprio assunto de uma história.
Isso está de acordo com a revista de tecnologia Wired, que disse que não publica histórias geradas por IA, "exceto quando o fato de ser gerado por IA é o ponto de toda a história".
"Suas histórias devem ser totalmente escritas por você", escreveu Nicholas Carlson, editor-chefe do Insider, em uma nota aos funcionários que foi compartilhada com os leitores. "Você é responsável pela precisão, justiça, originalidade e qualidade de cada palavra em suas histórias."
Casos altamente divulgados de "alucinações" geradas por IA, ou fatos inventados, tornam importante que os consumidores saibam que existem padrões para "garantir que o conteúdo que estão lendo, assistindo e ouvindo seja verificado, confiável e tão justo possível", disse Poynter em um editorial.
As organizações de notícias delinearam maneiras pelas quais a IA generativa pode ser útil antes da publicação. Ele pode ajudar os editores da AP, por exemplo, a compilar resumos de histórias nas obras que são enviadas a seus assinantes. Isso pode ajudar os editores a criar manchetes ou gerar ideias para histórias, disse a Wired. Carlson disse que a IA pode ser solicitada a sugerir possíveis edições para tornar uma história concisa e mais legível, ou para apresentar possíveis perguntas para uma entrevista.
A AP experimentou formas mais simples de inteligência artificial por uma década, usando-a para criar pequenas notícias a partir de placares esportivos ou relatórios de ganhos corporativos. Essa é uma experiência importante, disse Barrett, mas "ainda queremos entrar nesta nova fase com cautela, garantindo a proteção de nosso jornalismo e nossa credibilidade".
A OpenAI, fabricante do ChatGPT, e a Associated Press anunciaram no mês passado um acordo para a empresa de inteligência artificial licenciar o arquivo de notícias da AP que usa para fins de treinamento.
As organizações de notícias estão preocupadas com o fato de seu material ser usado por empresas de IA sem permissão ou pagamento. A News Media Alliance, representando centenas de editores, emitiu uma declaração de princípios destinada a proteger os direitos de propriedade intelectual de seus membros.
Alguns jornalistas expressaram preocupação de que a inteligência artificial possa eventualmente substituir trabalhos feitos por humanos e é um assunto de grande interesse, por exemplo, em negociações contratuais entre a AP e seu sindicato, o News Media Guild. A guilda não teve a chance de analisar completamente o que eles significam, disse Vin Cherwoo, presidente do sindicato.
"Fomos encorajados por algumas disposições e temos dúvidas sobre outras", disse Cherwoo.
Com as salvaguardas em vigor, a AP quer que seus jornalistas se familiarizem com a tecnologia, já que precisarão relatar histórias sobre ela nos próximos anos, disse Barrett.
O Stylebook da AP – um roteiro de práticas jornalísticas e regras para o uso de terminologia em histórias – explicará no capítulo que será lançado na quinta-feira muitos dos fatores que os jornalistas devem considerar ao escrever sobre a tecnologia.
“A história da inteligência artificial vai muito além dos negócios e da tecnologia”, diz a AP. "É também sobre política, entretenimento, educação, esportes, direitos humanos, economia, igualdade e desigualdade, direito internacional e muitas outras questões. Histórias bem-sucedidas de IA mostram como essas ferramentas estão afetando muitas áreas de nossas vidas."
O capítulo inclui um glossário de terminologia, incluindo aprendizado de máquina, dados de treinamento, reconhecimento facial e viés algorítmico.
Pouco dele deve ser considerado a palavra final sobre o tema. Um comitê explorando orientações sobre o assunto se reúne mensalmente, disse Barrett.
"Espero que tenhamos que atualizar as orientações a cada três meses, porque o cenário está mudando", disse ela.
© 2023 Associated Press. Todos os direitos reservados. Este material não pode ser publicado, transmitido, reescrito ou redistribuído sem permissão.