Enabling rapid adoption of artificial intelligence through an anonymized data protocol and explainable models

通过匿名数据协议和可解释的模型实现人工智能的快速采用

• 批准号: 104814
• 金额: $ 194.21万
• 依托单位: GENIE AI LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=104814
• 关键词: Enabling; rapid; adoption; artificial; intelligence

Two of the greatest obstacles towards adoption of artificial intelligence in UK services is the acquisition of confidential data, and the explainability of black-box neural models. This research will draw on a number of academics from leading research institutions, large commercial partners and Ginie AI, a machine learning startup to tackle these issues. In particular, commercial products that advance state of the art algorithms will be developed. These solutions will draw on the latest body of research in computational privacy and machine learning. The technology will be researched, tested and trialled in a commercial setting. In addition, key stakeholders and regulatory bodies will be engaged with to provide an industry wide protocol of how to enable access to data for the rapid adoption of machine learning in services.

在英国服务中采用人工智能的两个最大障碍是获取机密数据和黑箱神经模型的可解释性。这项研究将吸引来自领先研究机构、大型商业合作伙伴和机器学习初创公司Ginie AI的学者来解决这些问题。特别是，将开发推进最先进算法的商业产品。这些解决方案将借鉴计算隐私和机器学习方面的最新研究成果。这项技术将在商业环境中进行研究、测试和试验。此外，主要利益相关者和监管机构将参与提供一个行业范围的协议，如何访问数据，以便在服务中快速采用机器学习。