The Ethical and Quality Concerns Raised by Improper Data Acquisition

In a digital world teeming with data, the art of language learning and its integration into the fabric of Artificial Intelligence (AI) stands as an eclectic fusion of human insight and technical precision. As giants of the AI arena seek to harness the power of linguistic diversity, one mammoth challenge rears its head – the flood of web-scraped, machine-translated data that inundates the datasets of large language models (LLMs).

These data sources can potentially impact the sanctity of language learning, calling education technologists, AI data analysts, and business leaders to rally against the detrimental effects of opaque data origins in our AI future..

Source: https://www.appen.com/blog/

Read full article: https://www.appen.com/blog/web-scraped-and-machine-translated-data-in-ai-language-training