I-Corps: Artificial Intelligence driven environmental, social, and governance

I-Corps：人工智能驱动的环境、社会和治理

• 批准号: 2321155
• 负责人: Irena Vodenska
• 金额: $ 5万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321155&HistoricalAwards=false
• 关键词: Corps; Artificial; Intelligence; driven; environmental

The broader impact/commercial potential of this I-Corps project is the development of a technology that can help increase transparency and accountability in corporations' environmental, social, and governance practices. This, in turn, can encourage corporations to adopt more sustainable and responsible business practices, leading to a more sustainable future for both the environment and society. Moreover, by providing portfolio managers with comprehensive and accurate environmental, social, and governance metrics, the technology can help drive investment toward companies committed to sustainable and responsible practices. This shift in investment patterns can further encourage corporations to prioritize environmental, social, and governance considerations, leading to a virtuous cycle of increased environmental, social, and governance accountability and sustainability. The technology primarily aims to aid portfolio managers in assessing corporations' environmental, social, and governance responsibilities. In addition to investment advisers, the technology can help corporations improve their environmental, social, and governance reporting. Moreover, financial consultants can benefit from the technology as they advise and lead their clients towards better environmental, social, and governance-reporting practices increasingly demanded by regulators. The technology can increase environmental and social responsibilities within vulnerable communities and improve global governance.This I-Corps project is based on the development of technology to address issues with existing environmental, social, and governance standards and includes the environmental, social, and governance Knowledge Meta Model that consists of environmental, social, and governance Taxonomy and Ontology. The model analyzes environmental, social, and governance-related documents, including Securities and Exchange Commission Reports, environmental, social, and governance news, and social media posts from Twitter and Reddit, and creates a labeled environmental, social, and governance-related dataset. It further employs an environmental, social, and governance name, a Relation extraction model, multilabel classification for the taxonomy elements, and sentiment detection for environmental, social, and governance texts. These models are used to create the environmental, social, and governance Knowledge Graph Construction pipeline, which transforms environmental, social, and governance-related text into knowledge graphs. The constructed pipeline is used in real-time to convert texts from company reports and media documents into knowledge graphs. The methodology identifies discrepancies between the two sources using a graph comparison algorithm and reports any differences and inconsistencies between what the company reports and what the media writes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

I-Corps 项目更广泛的影响/商业潜力是开发一种技术，有助于提高企业环境、社会和治理实践的透明度和问责制。反过来，这可以鼓励企业采取更加可持续和负责任的商业实践，为环境和社会带来更加可持续的未来。此外，通过为投资组合经理提供全面、准确的环境、社会和治理指标，该技术可以帮助推动对致力于可持续和负责任实践的公司的投资。这种投资模式的转变可以进一步鼓励企业优先考虑环境、社会和治理因素，从而形成增强环境、社会和治理责任和可持续性的良性循环。该技术的主要目的是帮助投资组合经理评估公司的环境、社会和治理责任。除了投资顾问之外，该技术还可以帮助企业改善其环境、社会和治理报告。此外，财务顾问可以从该技术中受益，因为他们建议并引导客户采取监管机构日益要求的更好的环境、社会和治理报告实​​践。该技术可以增加弱势社区内的环境和社会责任，并改善全球治理。这个I-Corps项目以技术开发为基础，旨在解决现有环境、社会和治理标准的问题，并包括环境、社会和治理知识元模型由环境、社会和治理分类和本体组成。该模型分析环境、社会和治理相关文件，包括证券交易委员会报告、环境、社会和治理新闻以及来自 Twitter 和 Reddit 的社交媒体帖子，并创建带标签的环境、社会和治理相关数据集。它还采用环境、社会和治理名称、关系提取模型、分类元素的多标签分类以及环境、社会和治理文本的情感检测。这些模型用于创建环境、社会和治理知识图谱构建管道，将环境、社会和治理相关文本转换为知识图谱。构建的管道用于实时将公司报告和媒体文档中的文本转换为知识图谱。该方法使用图形比较算法来识别两个来源之间的差异，并报告公司报告内容与媒体撰写内容之间的任何差异和不一致。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值进行评估，被认为值得支持以及更广泛的影响审查标准。

项目成果

Comparing the performance of ChatGPT and state-of-the-art climate NLP models on climate-related text classification tasks

比较 ChatGPT 和最先进的气候 NLP 模型在气候相关文本分类任务上的性能

• DOI: 10.1051/e3sconf/202343602004
• 发表时间: 2023-01
• 期刊: E3S Web of Conferences
• 作者: Trajanov, Dimitar;Lazarev, Gorgi;Chitkushev, Ljubomir;Vodenska, Irena
• 通讯作者: Vodenska, Irena