|
| 文章编号：1672-3104(2024)06-0033-16 |
| |
|
论人工智能数据公共领域深度共享机制的构建 |
| |
何炼红，朱曦青 |
| |
|
（中南大学法学院，湖南长沙，410083） |
| |
| 摘 要： 公共领域数据共享是人工智能产业发展的关键。平台层面数据霸权导致的共享自由缺位、资源层面数据壁垒导致的公共领域限缩、规则层面权属不清导致的共享标准模糊，对人工智能数据公共领域产生了系列负效应。人工智能数据应践行“深度共享”理念，基于平台、资源和规则三个维度，实现共享平台从单层封闭式枢纽走向多层开放式网络、资源共享方式从单一走向多维、共享规则从保守走向开放的范式转型。构建人工智能数据的公共领域深度共享机制，应以“开源”为前提，引入数据共享“FAIR原则”，采取公共领域双层共享模式，在平台层面构建角色模块式数据共享生态以实现数据共享自由，在资源层面设置数据公共领域官方标识以明确公共领域范围，在规则层面完善数据开源协议以确立数据共享标准，最终实现人工智能公共领域数据资源充裕和繁荣发展。 |
| |
| 关键词： 人工智能数据；公共领域；深度共享；公共标识；开源协议 |
| |
|
| |
On the construction of deep sharing mechanism of AI data in public domain |
| |
HE Lianhong, ZHU Xiqing |
| |
（School of Law, Central South University, Changsha 410083, China） |
| |
| Abstract: Data sharing in public domain is the key to the development of AI industry. The lack of sharing freedom caused by data hegemony at the platform level, the limitation of public domain caused by data barriers at the resource level, and the ambiguity of sharing standards caused by unclear ownership at the rule level, all have a series of negative effects on the public domain of data. AI data should practice the concept of "deep sharing". Based on such three dimensions as the platform, resources and rules, AI data aims to realize the paradigm transformation of sharing platform from single-layered closed hub to multi-layered open network, with resource sharing mode from single to multi-dimensional, and sharing rules from conservative to open. To build a deep sharing mechanism of AI data in the public domain, we should take "open source" as the premise, introduce the "FAIR principle" of data sharing, and adopt a dual-layered sharing model in the public domain, constructing role-modular data sharing ecology at the platform level to achieve data sharing freedom, setting Official Public Mark of the data public domain at the resource level to clarify the scope of the public domain, and improving data open source protocols at the rule level to establish data sharing standards, so as to eventually fulfill abundant and prosperous data resources in the AI public domain. |
| |
Key words: AI (artificial intelligence) data; public domain; deep sharing; public domain mark; open source protocol |
| |
|
|
