A Novel AI-based Platform for Transparent Double materiality impact disclosure in the finance Industry

一种基于人工智能的新型平台，用于金融行业透明的双重重要性影响披露

• 批准号: 10031599
• 金额: $ 6.23万
• 依托单位: SNOWFLOW AI LTD
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10031599
• 关键词: Novel; AI; based; Platform; Transparent

**Context:**During the COP26 U.N. climate conference, institutional investors pledged USD130 trillion to put combating climate change at the heart of their work. Furthermore, U.N. climate envoy Mark Carney put the figure at $100 trillion over the next three decades, and said the finance industry must find ways to raise private money to take the effort far beyond what states alone can do. These reflect a challenge often mentioned by investors who need to be certain that climate-related risks are being accounted for in a transparent and standardised way globally.**Challenges:**Asset management companies and institutional investors in sustainability responsible investing must gather climate and environmental data to understand companies' climate-related risks and generate informed investment decisions. Assessing companies' climate-related risks, however, is challenging because ESG reports do not provide:* credible and transparent data sources;* up to date data sources and metrics;* transparent methodology;* consistent methodology focused on "double materiality": the double materiality approach brings into consideration the impacts of Environmental factors on the company as well as the impact of the company on its stakeholders.**Solution:**To solve these challenges, we propose a novel AI-based platform for enhanced environmental impact disclosure in the finance industry. Our solution is the first in the market to have a comprehensive offering that combines seamlessly:* Transparent and unbiased data from publicly disclosed data sources;* Focus on "double materiality" impact analytics; and* Transparent metrics methodology using the Sustainability Accounting Standards Board (SASB) materiality map and the sustainability reporting standards roadmap from the European Financial Reporting Advisory Group (EFRAG).**Environmental benefits:**According to the article "Carbon Emissions Reduction and Corporate Financial Performance", it has been "found that carbon emissions reduction increases the return on assets, the return on equity, and the return on sales". Given that our solution brings data transparency to investors, businesses will be incentivized to reduce their environmental impact efficiently.**About Snowflow:**The project will be led and managed by Snowflow AI. Snowflow AI was founded by innovators and problem-solvers who believe in democratizing the access to AI so that any subject matter expert in any organization can turn plain text-data into valuable insights. We leverage the latest cognitive technologies with a focus and expertise on deep machine learning and cutting-edge natural language processing, providing an end-to-end enterprise AI platform that empowers any non-coder to automate text-data extraction and classification.

** 背景：** 在COP 26联合国气候大会期间，机构投资者承诺投资130万亿美元，将应对气候变化作为其工作的核心。此外，联合国气候特使马克·卡尼（Mark Carney）认为，未来30年的数字将达到100万亿美元，并表示金融业必须找到筹集私人资金的方法，以使这一努力远远超出各州所能做的范围。这反映了投资者经常提到的一个挑战，他们需要确保气候相关风险在全球范围内以透明和标准化的方式进行核算。挑战：** 可持续性责任投资中的资产管理公司和机构投资者必须收集气候和环境数据，以了解公司的气候相关风险，并做出明智的投资决策。然而，评估公司的气候相关风险具有挑战性，因为ESG报告没有提供：* 可靠和透明的数据来源;* 最新的数据来源和指标;* 透明的方法;* 专注于“双重重要性”的一致方法：双重重要性方法考虑了环境因素对公司的影响以及公司对其利益相关者的影响。解决方案：** 为了解决这些挑战，我们提出了一个新的基于人工智能的平台，用于增强金融行业的环境影响披露。我们的解决方案是市场上第一个拥有全面产品的解决方案，无缝结合：* 来自公开披露数据源的透明和公正的数据;* 专注于“双重重要性”影响分析;以及 * 使用可持续性会计准则委员会（SASB）重要性地图和欧洲财务报告咨询小组（EFRAG）可持续性报告标准路线图的透明指标方法。**环境效益：** 根据《碳减排与企业财务绩效》一文，“发现碳减排提高了资产回报率、股本回报率和销售回报率”。鉴于我们的解决方案为投资者带来了数据透明度，企业将受到激励，以有效地减少对环境的影响。关于Snowflow：** 该项目将由Snowflow AI领导和管理。Snowflow AI由创新者和问题解决者创立，他们相信人工智能的民主化，以便任何组织中的任何主题专家都可以将纯文本数据转化为有价值的见解。我们利用最新的认知技术，专注于深度机器学习和尖端的自然语言处理，提供端到端的企业AI平台，使任何非编码人员都能自动化文本数据提取和分类。