Copyright issues and false news

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Impact on Human Translators

The rise of AI in translation has sparked fears about job displacement among professional translators. While AI can handle straightforward and repetitive translation tasks, it lacks the creativity, contextual understanding, and emotional intelligence that human translators bring to the table.



The training data for large language models has included the work of journalists. This has led to news outlets filing lawsuits against OpenAI and Microsoft for violating copyright laws. Of course, journalists don’t always cover themselves in glory when it comes to factual accuracy. Using articles as training data could be considered tantamount to feeding bias within datasets and could promote the spread of false news.


Could it ever be ethical practice to rely on AI translations that may have been influenced by factually greece mobile database incorrect training data?


AI and the environment
It is worth considering the environmental cost of AI. Large language models utilise huge amounts of electricity. This should be factored into the carbon counting of any business that seeks to promote its environmentally friendly credentials.


How can AI be used responsibly for translation?
AI lacks the nuanced understanding of language and the cultural sensitivities of human translators. Worse still, large language models do make factual errors. It simply wouldn’t be responsible to generate translations using AI and then not to have the results thoroughly checked by skilled humans. Poor or erroneous translations will negatively impact brands and businesses. More importantly, mistakes can cause offence or great harm.