Tackling serious crimes with financial information sharing and artificial intelligence: ethics, privacy and oversight

通过金融信息共享和人工智能应对严重犯罪：道德、隐私和监督

• 批准号: 2113474
• 金额: --
• 依托单位: Queen's University Belfast
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2113474
• 关键词: Tackling; serious; crimes; financial; information

I propose to examine the use of artificial intelligence technologies within massive financial datasets to identify criminal suspicion; evaluating ethical, policy and regulatory implications arising from the application of these tools to combined public and private data. The research will be grounded in a regulatory theoretical approach to the balance of security, civil liberties and privacy considerations. The research will also investigate technical options to achieve regulatory confidence in real-time information-exchange between major financial institutions and law enforcement agencies in a secure, proportionate and auditable manner, that also meets 'right to be forgotten' standards of data privacy.

我建议研究在大规模金融数据集中使用人工智能技术来识别犯罪嫌疑;评估将这些工具应用于公共和私人数据所产生的伦理、政策和监管影响。该研究将以监管理论方法为基础，以平衡安全，公民自由和隐私考虑。该研究还将调查技术方案，以实现监管机构对主要金融机构和执法机构之间以安全，相称和可审计的方式进行实时信息交换的信心，同时满足“被遗忘权”的数据隐私标准。