{"id":49753,"topic":"ai","source":"University of Pennsylvania","title":"Penn Partners in New National Science Foundation AI Institute for Human-AI Cooperation - University of Pennsylvania","url":"https://www.engineering.upenn.edu/stories/penn-partners-in-new-national-science-foundation-ai-institute-for-human-ai-cooperation/","url_hash":"b4436b2aff474c06c52eca35a86099ec62ac4483","author":"","summary":"Penn Partners in New National Science Foundation AI Institute for Human-AI Cooperation University of Pennsylvania","content":"Penn Partners in New National Science Foundation AI Institute for Human-AI Cooperation Grants, In the News, Research and Innovation / July 30, 2026 Share: Author: Penn Today From the teenage soccer player recovering from knee surgery to the grandparent relearning how to walk after a stroke, physical therapy plays a vital role in restoring mobility and helping people live independently—especially later in life. But what if artificial intelligence could work side by side with clinicians and physical therapists, adapting to each patient, guiding treatment decisions and accelerating recovery? That is the idea behind the new U.S. National Science Foundation AI Institute for Human-AI Cooperation (NSF HAIC) launched today with a $21.5 million, five-year award. The University of Pennsylvania will partner with the University of Delaware (UD) who will lead the effort, and join other collaborators that include Delaware State University, Princeton University, and the University of Florida. Headquartered at UD’s Data Science Institute, HAIC will focus on pioneering AI’s role in improving healthcare. In total, the HAIC Institute will bring together more than 40 partners across academia, industry, government, healthcare, and nonprofit organizations, serving as a national hub for human-centered AI—designed to support, not replace, human decision making in healthcare. “Our goal is to transform artificial intelligence into an adaptive teammate, allowing human users and AI systems to interact in dynamic collaboration,” says HAIC Director Cathy Wu, the Unidel Edward G. Jefferson Chair in Engineering and Computer Science at UD. “By developing AI that enables personalized models tailored to individual needs and decision-making, our institute will chart a new path for healthcare and cultivate the next generation of leaders in AI.” A national hub for human‑centered AI HAIC will bring together experts in artificial intelligence and machine learning, physical therapy and rehabilitation, ethics, engineering and robotics, neuroscience and biomechanics, education, and workforce development. HAIC researchers will integrate multimodal data—from movement and physiological signals to clinical records and patient feedback—to generate both population‑level insights and patient‑specific predictions. They also will use AI‑enabled digital twins to create virtual versions (or avatars) of patients, allowing clinicians to refine treatment options before applying them in real-world care. These avatars also will provide a biophysical reference for patients throughout their path to recovery. At Penn, the HAIC institute will integrate expertise from the School of Engineering and Applied Science, the Perelman School of Medicine, and the Wharton School. “Penn brings deep strength in machine learning, robotics, and medicine, and with the expertise of the University of Delaware and other NSF HAIC partners, we can build trustworthy AI systems that truly work alongside clinicians and patients,” says David Meaney, Penn’s vice provost for research and Solomon R. Pollack Professor in Bioengineering. Research embedded in real patient care Penn researchers will focus especially on continual learning, multimodal AI, and human-AI collaboration, developing systems that deliver personalized care, communicate naturally with clinicians and patients, explain their recommendations, and remain aligned with patient goals and ethical standards in complex healthcare environments. These systems will integrate many forms of information—including video, wearable sensor data, medical records, clinical notes, and patient-clinician interactions—to build a deep understanding of patient health and recovery. Eric Eaton, research associate professor in computer and information science in Penn Engineering and a faculty member of Penn’s GRASP Lab, will serve as HAIC’s managing director. “Rather than building stand-alone AI tools, we’re developing collaborative AI systems that can act as true clinical partners in real-world healthcare settings,” says Eaton. “As these systems gain experience, they will continuously adapt and refine how they support clinicians and patients, helping deliver more effective and personalized care.” Training the workforce of the future Beyond research, HAIC places a strong emphasis on education, workforce development and industry partnerships. Across the participating institutions, undergraduate and graduate students and postdoctoral researchers will gain hands-on experience. HAIC also aims to empower healthcare professionals to effectively use emerging AI tools. “This is truly an exciting time for the HAIC Institute to significantly advance AI research, instill trust, promote accessibility, connect with community stakeholders, and translate discovery and technology into economic and societal impact,” Wu says. This work is supported by the U.S. National Science Foundation under Cooperative Agreement No. 2433450. This story was written by Amanda Mott and originally published in Penn Today. 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In total, the HAIC Institute will bring together more than 40 partners across academia, industry, government, healthcare, and nonprofit organizations, serving as a national hub for human-centered AI—designed to support, not replace, human decision making in healthcare. “Our goal is to transform artificial intelligence into an adaptive teammate, allowing human users and AI systems to interact in dynamic collaboration,” says HAIC Director Cathy Wu, the Unidel Edward G. Jefferson Chair in Engineering and Computer Science at UD. “By developing AI that enables personalized models tailored to individual needs and decision-making, our institute will chart a new path for healthcare and cultivate the next generation of leaders in AI.” A national hub for human‑centered AI HAIC will bring together experts in artificial intelligence and machine learning, physical therapy and rehabilitation, ethics, engineering and robotics, neuroscience and biomechanics, education, and workforce development. HAIC researchers will integrate multimodal data—from movement and physiological signals to clinical records and patient feedback—to generate both population‑level insights and patient‑specific predictions. They also will use AI‑enabled digital twins to create virtual versions (or avatars) of patients, allowing clinicians to refine treatment options before applying them in real-world care. These avatars also will provide a biophysical reference for patients throughout their path to recovery. At Penn, the HAIC institute will integrate expertise from the School of Engineering and Applied Science, the Perelman School of Medicine, and the Wharton School. “Penn brings deep strength in machine learning, robotics, and medicine, and with the expertise of the University of Delaware and other NSF HAIC partners, we can build trustworthy AI systems that truly work alongside clinicians and patients,” says David Meaney, Penn’s vice provost for research and Solomon R. 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Eric Eaton, research associate professor in computer and information science in Penn Engineering and a faculty member of Penn’s GRASP Lab, will serve as HAIC’s managing director. “Rather than building stand-alone AI tools, we’re developing collaborative AI systems that can act as true clinical partners in real-world healthcare settings,” says Eaton. “As these systems gain experience, they will continuously adapt and refine how they support clinicians and patients, helping deliver more effective and personalized care.” Training the workforce of the future Beyond research, HAIC places a strong emphasis on education, workforce development and industry partnerships. Across the participating institutions, undergraduate and graduate students and postdoctoral researchers will gain hands-on experience. HAIC also aims to empower healthcare professionals to effectively use emerging AI tools. “This is truly an exciting time for the HAIC Institute to significantly advance AI research, instill trust, promote accessibility, connect with community stakeholders, and translate discovery and technology into economic and societal impact,” Wu says. This work is supported by the U.S. National Science Foundation under Cooperative Agreement No. 2433450. This story was written by Amanda Mott and originally published in Penn Today. 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These avatars also will provide a biophysical reference for patients throughout their path to recovery. At Penn, the HAIC institute will integrate expertise from the School of Engineering and Applied Science, the Perelman School of Medicine, and the Wharton School. “Penn brings deep strength in machine learning, robotics, and medicine, and with the expertise of the University of Delaware and other NSF HAIC partners, we can build trustworthy AI systems that truly work alongside clinicians and patients,” says David Meaney, Penn’s vice provost for research and Solomon R. Pollack Professor in Bioengineering. Research embedded in real patient care Penn researchers will focus especially on continual learning, multimodal AI, and human-AI collaboration, developing systems that deliver personalized care, communicate naturally with clinicians and patients, explain their recommendations, and remain aligned with patient goals and ethical standards in complex healthcare environments. These systems will integrate many forms of information—including video, wearable sensor data, medical records, clinical notes, and patient-clinician interactions—to build a deep understanding of patient health and recovery. Eric Eaton, research associate professor in computer and information science in Penn Engineering and a faculty member of Penn’s GRASP Lab, will serve as HAIC’s managing director. “Rather than building stand-alone AI tools, we’re developing collaborative AI systems that can act as true clinical partners in real-world healthcare settings,” says Eaton. “As these systems gain experience, they will continuously adapt and refine how they support clinicians and patients, helping deliver more effective and personalized care.” Training the workforce of the future Beyond research, HAIC places a strong emphasis on education, workforce development and industry partnerships. 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These avatars also will provide a biophysical reference for patients throughout their path to recovery. At Penn, the HAIC institute will integrate expertise from the School of Engineering and Applied Science, the Perelman School of Medicine, and the Wharton School. “Penn brings deep strength in machine learning, robotics, and medicine, and with the expertise of the University of Delaware and other NSF HAIC partners, we can build trustworthy AI systems that truly work alongside clinicians and patients,” says David Meaney, Penn’s vice provost for research and Solomon R. Pollack Professor in Bioengineering. Research embedded in real patient care Penn researchers will focus especially on continual learning, multimodal AI, and human-AI collaboration, developing systems that deliver personalized care, communicate naturally with clinicians and patients, explain their recommendations, and remain aligned with patient goals and ethical standards in complex healthcare environments. These systems will integrate many forms of information—including video, wearable sensor data, medical records, clinical notes, and patient-clinician interactions—to build a deep understanding of patient health and recovery. Eric Eaton, research associate professor in computer and information science in Penn Engineering and a faculty member of Penn’s GRASP Lab, will serve as HAIC’s managing director. “Rather than building stand-alone AI tools, we’re developing collaborative AI systems that can act as true clinical partners in real-world healthcare settings,” says Eaton. “As these systems gain experience, they will continuously adapt and refine how they support clinicians and patients, helping deliver more effective and personalized care.” Training the workforce of the future Beyond research, HAIC places a strong emphasis on education, workforce development and industry partnerships. 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Jefferson Chair in Engineering and Computer Science at UD. “By developing AI that enables personalized models tailored to individual needs and decision-making, our institute will chart a new path for healthcare and cultivate the next generation of leaders in AI.” A national hub for human‑centered AI HAIC will bring together experts in artificial intelligence and machine learning, physical therapy and rehabilitation, ethics, engineering and robotics, neuroscience and biomechanics, education, and workforce development. HAIC researchers will integrate multimodal data—from movement and physiological signals to clinical records and patient feedback—to generate both population‑level insights and patient‑specific predictions. They also will use AI‑enabled digital twins to create virtual versions (or avatars) of patients, allowing clinicians to refine treatment options before applying them in real-world care. These avatars also will provide a biophysical reference for patients throughout their path to recovery. At Penn, the HAIC institute will integrate expertise from the School of Engineering and Applied Science, the Perelman School of Medicine, and the Wharton School. “Penn brings deep strength in machine learning, robotics, and medicine, and with the expertise of the University of Delaware and other NSF HAIC partners, we can build trustworthy AI systems that truly work alongside clinicians and patients,” says David Meaney, Penn’s vice provost for research and Solomon R. Pollack Professor in Bioengineering. Research embedded in real patient care Penn researchers will focus especially on continual learning, multimodal AI, and human-AI collaboration, developing systems that deliver personalized care, communicate naturally with clinicians and patients, explain their recommendations, and remain aligned with patient goals and ethical standards in complex healthcare environments. These systems will integrate many forms of information—including video, wearable sensor data, medical records, clinical notes, and patient-clinician interactions—to build a deep understanding of patient health and recovery. Eric Eaton, research associate professor in computer and information science in Penn Engineering and a faculty member of Penn’s GRASP Lab, will serve as HAIC’s managing director. “Rather than building stand-alone AI tools, we’re developing collaborative AI systems that can act as true clinical partners in real-world healthcare settings,” says Eaton. “As these systems gain experience, they will continuously adapt and refine how they support clinicians and patients, helping deliver more effective and personalized care.” Training the workforce of the future Beyond research, HAIC places a strong emphasis on education, workforce development and industry partnerships. Across the participating institutions, undergraduate and graduate students and postdoctoral researchers will gain hands-on experience. HAIC also aims to empower healthcare professionals to effectively use emerging AI tools. “This is truly an exciting time for the HAIC Institute to significantly advance AI research, instill trust, promote accessibility, connect with community stakeholders, and translate discovery and technology into economic and societal impact,” Wu says. This work is supported by the U.S. National Science Foundation under Cooperative Agreement No. 2433450. This story was written by Amanda Mott and originally published in Penn Today. 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