The article discusses the importance of cultural policies alongside regulation in the field of Artificial Intelligence (AI). It emphasizes the need for policies that promote high-quality data as a public good to ensure safe and trustworthy AI for all. The balance between regulation and policies is crucial for transparency, creating a level playing field, and building public trust.
Data is highlighted as the lifeblood of AI, with the more volume and diversity of human-generated text available, the better the performance of Large Language Models (LLMs). However, there is a challenge as humans do not produce enough digital content to meet the demands of AI. The article also touches upon the risks associated with the relentless race for data, sometimes compromising quality and ethics.
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