For a still nascent technology, generative artificial intelligence already has an impressive resume. It can compose music, summarise wads of legal documents in seconds and generate television adverts based on minimal descriptive input. To become even cleverer, weed out errors and broaden its uses, AI models will need to continuously ingest human-generated content to train on. But the legal framework required to facilitate this symbiosis between man and machine has fallen woefully behind. That puts the long-term development of the technology, and the individuals and companies who feed it with unique data and insights, in harm’s way.
對于一項仍處于發展初期的技術，生成式人工智能已經擁有令人印象深刻的履歷。它可以創作音樂、在幾秒鐘內總結大量法律文件，并根據極少的描述性輸入生成電視廣告。為了變得更聰明、消除錯誤并拓寬其用途，AI模型需要不斷攝取人類生成的內容進行訓練。然而，促進這種人機互惠互利關系所需的法律框架卻嚴重滯后。這使得該技術的長期發展，以及為其提供獨特數據和見解的個人和公司處于危險之中。