I-Corps: Algorithm to Support Teams and Teamwork Through Artificial Intelligence

I-Corps项目更广泛的影响和商业潜力是利用计算机科学和人工智能培养未来的团队。随着社会中的各种工作环境从个人独立工作的范式转向基于团队的模式，了解如何开发算法来支持这样的团队是至关重要的。随着这些算法越来越多地开始在人类团队中扮演更多的角色——比如决策者或资源分配者，许多算法都面临着团队可接受性的共同问题。将各种形式的算法集成到团队中的困难源于缺乏对它们对团队成员之间复杂的人际动态的影响的理解。因此，在优化标准中包含社会规则（如公平性）的算法解决方案至关重要。提出的Vida算法可能是第一批旨在通过公平资源分配为团队和团队提供实时支持的人工智能解决方案之一。这样的算法具有广泛的应用范围，包括运动队、教学和软件团队，在这些团队中，团队领导需要决定如何分配他们的注意力或资源。这个I-Corps项目的智力价值在于它能够在给定的任务中支持各种形式的团队。大量的研究强调了资源分配对个人的影响。然而，仍然缺乏将公平概念实现到其分配决策中的算法。研究表明，当人们感觉到不公平时，他们倾向于改变自己的动机。拟议中的人工智能驱动的Vida算法将加强对人类团队内部公平分配的研究。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact and commercial potential of this I-Corps project is the development of teams of the future using computer science and artificial intelligence. As various work environments within society shift away from the paradigm of individuals working independently and towards a team based model, it is essential to understand how algorithms can be developed to support such teams. As these algorithms increasingly begin take on more roles—such as decision maker or resource allocator—within human teams, many face a common problem of adoptability by team. The difficulty in integrating various forms of algorithms into teams stems from the lack of understanding of the impact that they have on the complex interpersonal dynamics between team members. As such, it is vital to develop algorithmic solutions that include social rules (e.g. fairness) within their optimization criteria. The proposed Vida algorithm may be among the first set of AI solutions aimed at real time support of teams and teamwork through the inclusion of fair resource allocation. Such an algorithm has a broad range of applications including sports teams, teaching, and software teams where team leaders need to make decisions about how to allocate their attention or resources.This I-Corps project's intellectual merit lies in its ability to support various forms of teams throughout a given task. A large body of research highlights the influence that the allocation of resources has on individuals. Yet, there is still a dearth of algorithms that implement notions of fairness into its allocation decisions. Research has shown that people have the tendency to alter their motivations when unfairness is perceived. The proposed AI-driven Vida algorithm would reinforce research on fairness allocations within human teams.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.