Will User-Contributed AI Training Data Eat Its Own Tail?
收藏NBER2024-07-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w32686
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资源简介：
This paper examines and finds that the answer is likely to be no. The environment examined starts with users who contribute based on their motives to create a public good. Their own actions determine the quality of that public good but also embed a free-rider problem. When AI is trained on that data
提供机构：
美国国家经济研究局
创建时间：
2024-07-01
