I-Corps: System, Apparatus, and Method for Providing Behavior-Based Human-Centered Artificial Intelligence Augmentation to Enhance Performance

I-Corps：用于提供基于行为的以人为中心的人工智能增强以提高性能的系统、设备和方法

• 批准号: 2016802
• 负责人: Benjamin Harvey
• 金额: $ 5万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2022-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016802&HistoricalAwards=false
• 关键词: Corps; System; Apparatus; Method; Providing

The broader impact/commercial potential of this I-Corps project is to reduce the cost of machine learning (ML) development by up to 50%, while simultaneously increasing intelligence production to address national priorities. The advancements of Big Data and storage technology have led to increasing levels of data production but without enough qualified analysts to transform data into actionable insights. The federal government invests nearly $5 billion in research related to artificial intelligence (AI) and ML in fiscal 2020, and public sector forecasts suggest that AI decision support/augmentation will deliver $2.9 trillion in value. This project will introduce revolutionary methods enabling analysts to auto-visualize patterns to support public sector and private market applications. This I-Corps project provides a framework for artificial intelligence (AI) augmentation that is tool-agnostic and can be used across any application, including national security. The innovation aims to integrate artificial intelligence (AI) augmentation and user behavior patterns through existing applications, collectively enhancing the performance of analysts and citizen data scientists. To address these challenges, the goal is to provide recommendations that are overlaid and integrated directly into the web application to help analysts increase intelligence production and dissemination across various public sector entities.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.

这个i-Corps项目的更广泛的影响/商业潜力是将机器学习(ML)开发的成本降低高达50%，同时增加情报生产，以满足国家优先事项。大数据和存储技术的进步导致数据生产水平不断提高，但缺乏足够的合格分析师将数据转化为可操作的见解。2020财年，联邦政府在与人工智能(AI)和ML相关的研究上投资近50亿美元，公共部门预测表明，AI决策支持/增强将带来2.9万亿美元的价值。该项目将引入革命性的方法，使分析师能够自动可视化模式，以支持公共部门和私人市场应用程序。这个i-Corps项目为人工智能(AI)增强提供了一个与工具无关的框架，可以用于任何应用程序，包括国家安全。这项创新旨在通过现有应用程序整合人工智能(AI)增强和用户行为模式，共同提高分析师和公民数据科学家的表现。为了应对这些挑战，我们的目标是提供覆盖并直接集成到Web应用程序中的建议，以帮助分析师增加各种公共部门实体的情报生产和传播。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。