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合成数据在自然和气候金融方面的机会
Nataliya Tkachenko1,2,3
1Smith School of Enterprise and the Environment, University of Oxford, Oxford, United Kingdom.
Frontiers in artificial intelligence
|January 24, 2024
概括
人工生成以模仿现实世界信息的合成数据对于可持续金融至关重要. 它有助于风险管理,合规和创新,同时解决数据缺口和道德问题.
科学领域:
- 金融技术是金融技术.
- 数据科学是数据科学.
- 可持续的金融 可持续的金融
背景情况:
- 合成数据在金融领域越来越重要,特别是在可持续金融应用中.
- 它为风险管理,监管合规和金融产品创新提供解决方案.
- 它在应对可持续金融领域的具体挑战方面发挥的作用正在扩大.
研究的目的:
- 为了对可持续金融的合成数据生产方法进行分类.
- 阐明在这个领域创建合成数据的方法.
- 检查合成数据的保证和控制机制.
主要方法:
- 对现有文献和方法的批判性审查.
- 合成数据生产技术的分类.
- 在绿色金融中分析数据需求和风险.
主要成果:
- 首次对用于可持续金融的合成数据生产方法进行分类.
- 确定绿色金融的独特数据要求.
- 检查与合成数据相关的保证,控制和潜在风险.
结论:
- 合成数据是可持续金融的关键推动因素,解决了数据缺口并增强了建模能力.
- 仔细考虑生成人工智能,输入质量以及诸如偏见之类的伦理因素是必不可少的.
- 为了在金融领域负责任地利用合成数据,需要进一步的研究和标准化实践.
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