{"id":1001961,"date":"2024-01-25T11:50:56","date_gmt":"2024-01-25T19:50:56","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/"},"modified":"2024-08-09T08:53:38","modified_gmt":"2024-08-09T15:53:38","slug":"ai-cognition-and-the-economy-aice","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/collaboration\/ai-cognition-and-the-economy-aice\/","title":{"rendered":"AI, Cognition, and the Economy (AICE)"},"content":{"rendered":"
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AI, Cognition, and the Economy (AICE)<\/h1>\n\n\n\n

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Our mission<\/h2>\n\n\n\n

AICE establishes a global research network dedicated to cultivating an interdisciplinary research community. This collective will delve into the profound impact of Generative AI (GAI) on human cognition, work dynamics, and economic growth. A number of these projects are part of the AFMR Program<\/a>.<\/p>\n\n\n\n

This pioneering initiative seeks to unravel the intricate relationship between GAI and human thinking, exploring its ramifications on work practices, organizational structures, and subsequent transformations in labor markets and the economy. By tracing this developmental arc, AICE endeavors to catalyze a fresh wave of research, providing a deeper understanding of the evolving landscape and offering a clear trajectory for navigating towards a better future.<\/p>\n\n\n\n

The research framework includes pilot studies, workshops, and extended collaborations. Through these endeavors, AICE aims not only to inform the development of new technologies and services but also to contribute to pioneering research in this burgeoning field.<\/p>\n\n\n\n

Our collaborators<\/h3>\n\n\n\n

These universities received unrestricted gifts from Microsoft to support their related research.<\/p>\n\n\n\n

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AICE Accelerator Pilot collaborations<\/h2>\n\n\n\n

AICE has funded a series of pilot collaborations to accelerate discovery of early insights into the quickly evolving influence Generative AI is having on how people think and work and what that might mean for jobs in the future.<\/p>\n\n\n\n

Human-AI interaction and user experience<\/h3>\n\n\n\n\n\n
\"Northeastern<\/figure>\n\n\n\n

Northeastern University<\/strong>: Vedant Swain<\/a> (PI)
Microsoft<\/strong>: Javier Hernandez<\/a>, Mary Czerwinski<\/a>
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*Accelerate Foundation Models Research collaboration<\/em><\/a><\/p>\n\n\n\n

To make AI agents more empathetic towards worker\u2019s goals, the agent needs to (i) understand broader wellbeing goals beyond saving time, (ii) maintain latitudinal and longitudinal awareness of workers\u2019 context outside their task, and (iii) provide workers suggestions to meet those goals by preempting opportunities in their work context. In this project, we propose to prototype and study Pro-Pilot, an enhancement over the existing Copilot that introduces a new Human-AI interaction framework that builds empathy.<\/p>\n\n\n\n\n\n

\"University<\/figure>\n\n\n\n

University of Texas at Austin<\/strong>: Desmond Ong<\/a> (PI), Jessy Li<\/a> (PI)
Microsoft<\/strong>: Jina Suh<\/a>, Mary Czerwinski<\/a>, Javier Hernandez<\/a>
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*Accelerate Foundation Models Research collaboration<\/em><\/a><\/p>\n\n\n\n

The Digital Empathy pilot aims to investigate emotional intelligence in Large Foundation Model (LFM) -driven systems and to develop and study a series of empathic AI agents to understand and augment human performance and wellbeing. Until now, there has been very little empirical evidence of how empathic LFM systems are or the psychological implications of these systems during human-AI interactions. The project will contribute to a comprehensive survey of the research opportunities and priorities concerning empathy in AI systems and a research platform for the systematic evaluation of empathic agents.<\/p>\n\n\n\n