The University of Hawaiʻi community gathered for a virtual keynote exploring the rapidly evolving landscape of artificial intelligence (AI) on April 27. The event drew interest across the system, hosting nearly 500 attendees online.

Microsoft’s AI Innovation Officer Michael J. Jabbour led the session, focusing on human-centered organizational transformation and the intersection of human and AI in education and healthcare.

ÌÇÐÄÊÓƵ President Wendy Hensel opened the webinar stating: “At the University of Hawaiʻi, we recognize the question is not whether we will embrace AI, but how we will do so. As you know, we’ve been setting up a systemwide AI initiative and conversation that we launched last year that we will scale significantly in the year ahead to educate our community on AI. As an example of this you may know we recently launched artificial intelligence for Hawaiʻi course which is a free 12-chapter interactive course accessible through the .”

A central theme of Jabbour’s presentation was the importance of maintaining human direction as AI capabilities rapidly expand. He warned that while AI can generate an infinite amount of output, humans must stay driven by actual outcomes. To foster critical thinking, especially among students, Jabbour shared how he encourages his own children to interact with AI models by instructing them to “teach me, don’t tell me,” ensuring that users maintain active agency.

“The only thing I ask you to consider, whether it’s with an AI or it’s with a human, is to think before you ask,” Jabbour said. “Because if you’re throwing ideas out there and asking the AI before you’ve thought, the AI‘s thinking now becomes your thinking and you don’t get a choice.”

Looking ahead, Jabbour noted that up to 70% of every hour worked could soon be automated, and that models are quickly matching human intelligence in specific tasks. With more than 60% of employers indicating they will not hire individuals lacking AI skills, he stated that educational institutions must adapt to avoid a big skills gap in training the up and coming workforce.

When asked how students can prepare for a workforce heavily impacted by AI, Jabbour highlighted adaptability, curiosity and human connection. He advised that the future of work will rely less on manual tasks and more on the human ability to clearly express goals and direct outcomes alongside AI.

The recording will be linked here when it’s available online.

Garret Yoshimi, vice president for information technology and chief information officer at the University of Hawaiʻi System, will retire effective June 1, 2026, following more than a decade in the role and a long career in information technology serving Hawaiʻi. His final day in the office will be May 22.

Yoshimi returned to ÌÇÐÄÊÓƵ in January 2015 and has played a central role in guiding the university’s information technology strategy across its 10 campuses. He previously served as telecommunications manager and director of technology infrastructure for the university system.

“Garret is not only exceptionally knowledgeable and widely respected in his field, but also one of the kindest and most thoughtful colleagues you could ever hope to work with, and he will be greatly missed across the University of Hawaiʻi,” said ÌÇÐÄÊÓƵ President Wendy Hensel in a message to university leadership. “Please join me in thanking Garret for his many contributions to ÌÇÐÄÊÓƵ and in wishing him all the best in his retirement.”

“It has been my privilege to work with such a dedicated team, including going beyond the call for multiple high-profile efforts,” Yoshimi said in a message to ÌÇÐÄÊÓƵ ITS employees. “I am proud of the work we have accomplished together, that made a material difference for our ÌÇÐÄÊÓƵ community, and our global community of institutional peers and partners.”

Leading systemwide innovation and connectivity

During his leadership, Yoshimi oversaw systemwide efforts to modernize information technology services, strengthen cybersecurity protections and expand digital tools supporting teaching, learning and operations across the university.

Among his recent initiatives, Yoshimi helped lead efforts to position Hawaiʻi as a global connectivity hub. In 2025, the University of Hawaiʻi System advanced a partnership with Google on a proposed trans-Pacific subsea fiber optic system, including a cable landing station at ÌÇÐÄÊÓƵ West Oʻahu aimed at expanding international connectivity and improving network resilience across Hawaiʻi and the Pacific region.

He also supported a collaboration with Google Public Sector to develop artificial intelligence tools to support student career pathways, connecting academic programs with workforce opportunities in Hawaiʻi.

Yoshimi and colleagues have been recognized for their longstanding contributions to global research and education networking. In 2026, he was part of a ÌÇÐÄÊÓƵ team honored with the CENIC Innovations in Networking Award for Network Partner, recognizing more than 35 years of work connecting Hawaiʻi and the Pacific to global research networks.

He received the ACUTA Bill D. Morris Award for individual leadership from the Association for College and University Technology Advancement and remains active in national higher education IT organizations, including EDUCAUSE and Internet2.

A Honolulu native, Yoshimi has nearly five decades of experience in information technology leadership across higher education, government and the private sector. He was appointed vice president for information technology and chief information officer in 2015, succeeding David Lassner, who went on to serve as ÌÇÐÄÊÓƵ president. In addition to his time at the ÌÇÐÄÊÓƵ, Yoshimi’s career includes leadership roles with the Hawaiʻi State Judiciary—where he served as its first chief information officer—the East-West Center and DTRIC Insurance.

Yoshimi earned a bachelor’s degree in electrical engineering from Purdue University and a graduate certificate in telecommunications and information resource management from the ÌÇÐÄÊÓƵ ²ÑÄå²Ô´Ç²¹.

During the transition, Brad Christ, associate vice president and deputy chief information officer, will serve as interim vice president for information technology and chief information officer.

The University of Hawaiʻi community is invited to a virtual keynote exploring the intersection of technology and human potential, featuring Microsoft’s AI Innovation Officer Michael J. Jabbour. The session will dive into the rapidly evolving landscape of AI and its transformative implications for the future of education and healthcare.

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Event details:

• Speaker: Michael J. Jabbour (AI Innovation Officer, Microsoft, Office of the CTO)
• Date: Monday, April 27
• Time: 12–1:30 p.m.

About the keynote:

Jabbour leads research in human-AI collaboration, biologically inspired AI, and the future of work. A recognized leader in large-scale organizational transformation, he previously served as CIO/CTO for several New York City agencies, including the Department of Education. He is a regular guest lecturer at top universities.

What you will discover:

• AI fundamentals: Explore the transformative world of Artificial Intelligence, including its uncharted propensity to “hallucinate.”
• Revolutionizing education: Learn how AI can revolutionize education by enhancing teaching and learning experiences with cutting-edge tools and personalized methodologies.
• Practical integration: Dive into the potential of AI to automate routine tasks, stimulate collaborative learning, and foster bespoke educational journeys.
• Actionable insights: Equip yourself with practical use cases and insights on seamlessly integrating AI into your classroom or institution, paving the way for a future where education is intuitively tailored, engaging, and impactful.

The ÌÇÐÄÊÓƵ community is encouraged to take advantage of this opportunity to hear from a national leader in AI innovation and explore how these emerging technologies are shaping the future of education and healthcare.

The University of Hawaiʻi accounted for more than $61.2 million—92% of all federal biomedical research funding awarded in the state from the (NIH)—in fiscal year 2025.

Hawaiʻi received $66.7 million overall in NIH funding, according to a new report from . The investment supported 902 jobs and generated $188.7 million in economic activity statewide.

NIH funding supports a wide range of research across ÌÇÐÄÊÓƵ, from improving disease detection and treatment to addressing health disparities and strengthening public health systems that serve island communities, reinforcing the university’s role in advancing health research and innovation in Hawaiʻi.

had the largest share, with 72 awards totaling $60.7 million, while the received two awards totaling $468,391. While overall funding remained strong, NIH’s shift to multi-year funding—which obligates the full grant value upfront—resulted in 5,564 fewer grants being funded in FY2025 compared to FY2024.

“Even in a highly competitive and uncertain federal funding environment, University of Hawaiʻi researchers continue to deliver work that improves lives here at home and beyond,” said Chad Walton, ÌÇÐÄÊÓƵ interim vice president for research and innovation. “These investments fuel discoveries, support high-quality jobs and strengthen our local economy. Every dollar makes a difference for our communities.”

Research highlights

Recent awards reflect the diversity of NIH-funded research at ÌÇÐÄÊÓƵ:

• $322,891 from the National Cancer Institute supports Shugeng Zhao Cao, professor at the at ÌÇÐÄÊÓƵ Hilo. The project, Discovery of novel natural TEAD inhibitors for the chemoprevention of liver tumors, explores natural compounds from Hawaiian microorganisms to develop the first preventive therapy for liver cancer.



• $2,039,744 from the National Human Genome Research Institute supports Lang Wu, associate professor at the at the ÌÇÐÄÊÓƵ Cancer Center. The research advances genomic tools and approaches to better understand complex diseases and support precision health applications. (Related ÌÇÐÄÊÓƵ News story)
• $459,287 from the National Institute of Diabetes and Digestive and Kidney Diseases supports Youping Deng, professor at the . The project, Hawaii Advanced Training in Artificial Intelligence for Precision Nutrition Science Research, strengthens training in the use of artificial intelligence for nutrition and metabolic health research. (Related ÌÇÐÄÊÓƵ News story)

, an assistant professor in the University of Hawaiʻi at Mānoa , has received the Career Development Award from the to advance medical research and technology for vascular and heart health. The three-year, $230,727 award supports promising early-career investigators working on innovative solutions in cardiovascular and related biomedical research.

“I am very honored to receive this award,” Wang said. “This support allows us to explore bold ideas that could change how we approach medical treatment inside the human body, while building a strong network of collaborators who bring different expertise to the table. It’s a great opportunity to train the next generation of engineers and create technologies that could one day make procedures safer and less invasive.”

Wang’s project focuses on developing miniature soft robotics combined with artificial intelligence to create new medical devices that can navigate hard-to-reach areas of the body and enhance the function of cardiovascular and neurovascular systems. The work builds on Wang’s previous research on soft robotics inspired by diverse marine life. By studying how small aquatic animals move efficiently through complex environments, his team designs flexible robots that can safely operate in delicate spaces, such as inside the human body.

Related ÌÇÐÄÊÓƵ News stories:

• Bio-inspired breakthroughs: Engineering solutions from nature, August 26, 2025
• Team of microscopic soft robots could transform medical care, November 10, 2024
• Robot tech to clean oceans wows international summit, February 6, 2024

The award also supports collaboration and mentorship with scientists from ÌÇÐÄÊÓƵ Mānoa’s , The Queen’s Medical Center, and Massachusetts Institute of Technology. These partnerships aim to strengthen research and expand real-world applications of miniature soft robotics in healthcare.

Wang also serves as an adjunct assistant professor at The Queen’s Medical Center and a cooperating faculty in ÌÇÐÄÊÓƵ Mānoa’s .

The project highlights ÌÇÐÄÊÓƵ Mānoa’s growing role in robotics and biomedical engineering, with a focus on developing technologies that can improve patient care and address complex health challenges such as sudden cardiac arrest.

The University of Hawaiʻi is taking its AI chatbot strategy a step further, with students sending more than 100,000 messages since the start of the academic year—data that is now being used to identify when students may need help, often before they ask for it.

New data from the first quarter of 2026 report shows the scale of that impact. Since the beginning of the academic year, 51% of ÌÇÐÄÊÓƵ students engaged with their chatbot, sending more than 100,000 text messages, approximately an additional 30,000 messages since last recorded in December 2025.

Additionally, since August 2025, ÌÇÐÄÊÓƵ ²ÑÄå²Ô´Ç²¹ saw some of the highest number of text exchanges with more than 32,000 student messages received by their chatbot ‘Bow, while ÌÇÐÄÊÓƵ West Oʻahu’s Pueo and Honolulu Community College’s Niu saw the highest student engagement with 61% and 60% respectively.

Early signals, faster support

Those interactions are doing more than providing quick answers. Since January 2026, more than 3,000 automatic interventions were completed, connecting students with specific and targeted resources, while 1,924 students were flagged for a staff follow-up. More than 1,900 student questions were answered without direct human interaction.

“This technology is helping us shift from reactive to proactive support,” said Kim Siegenthaler, senior advisor to the ÌÇÐÄÊÓƵ president. “By listening to students in real time, we’re creating a more responsive system that provides students the support they need to succeed.”

The Q1 data also underscores the system’s efficiency. The AI chatbots handled thousands of routine questions independently, saving staff 165 hours while still delivering immediate responses to students.

Understanding the student experience

Beyond individual interactions, ÌÇÐÄÊÓƵ is using chatbot data to track broader trends. The report highlights areas of attention and potential stressors through regular temperature checks. These insights are helping campuses adjust outreach strategies and better align resources with student needs systemwide.

At the start of the semester, 47%of ÌÇÐÄÊÓƵ community college students said they feel good about the term and 33% said they feel nervous or overwhelmed, while 39% ÌÇÐÄÊÓƵ four-year college students said they feel good about the semester and 33% said they feel nervous or overwhelmed.

40% of four-year and community college students said they need the most support in academics, followed by finances, wellness and engagement.

These interactions are part of a growing data-driven system designed to make sure that no student slips through the cracks, ensuring a proactive approach to student support.

—By Grant Nakasone

The University of Hawaiʻi at Mānoa has received a $50,000 research gift from Google to support artificial intelligence and robotics work led by Assistant Professor .

The gift will fund Chen’s research in robotic perception, a field focused on helping machines better understand and interact with the physical world. The research includes applications in health-related human-robot interaction, tactile sensing and agriculture.

“This support allows us to explore bold ideas at the intersection of perception and real-world environments, while creating hands-on opportunities for students to work on technologies that could shape the future of robotics,” Chen said.

Human-robot interaction, tactile sensing, outdoor environments

One area of the research focuses on health-related human-robot interaction, including embodied interaction systems designed to support older adults with mild cognitive impairment. By combining 3D vision, perception and adaptive robotic behavior, the work aims to help machines respond more naturally and effectively in real-world assistive settings. This work builds on Chen’s earlier Hawaiʻi Community Foundation-supported research on digital biomarkers for early screening of Alzheimer’s disease using computer vision and artificial intelligence.

Another component explores 3D tactile sensing, allowing robots to gather information through touch. This approach aims to improve how machines detect shape, movement and contact, particularly in tasks that require delicate handling or physical interaction.

The project also targets agricultural use, where robots must navigate complex outdoor environments. The research seeks to improve how machines navigate in fields, identify crops, interpret terrain, and operate under changing lighting and weather conditions.

Funding will support graduate and undergraduate student researchers, as well as equipment, computing resources and experimental testing. The project also provides opportunities for student training in robotics, computer vision and artificial intelligence.

The Department of Information and Computer Sciences is housed in ÌÇÐÄÊÓƵ Mānoa’s .

As artificial intelligence (AI) continues to rapidly transform higher education, the University of Hawaiʻi has officially launched its course, a free interactive 12-chapter program designed for ÌÇÐÄÊÓƵ ʻohana and communities across Hawaiʻi. The first chapter of the course, which serves as a gateway for professional development and exploration, launched on March 29.

Hosted on the new , the course invites participants to demystify AI by trying new tools and discovering real-world applications that support work, learning and daily life. New chapters will be released on a weekly basis over the next 12 weeks.

“This course empowers our ÌÇÐÄÊÓƵ campuses and local communities to actively shape how we use AI to make our island home better,” said Gloria Niles, ÌÇÐÄÊÓƵ chief academic technology innovation officer. “By ensuring our exploration of these tools includes critical conversations about transparency and responsible deployment in a Hawaiʻi context, we can thoughtfully integrate these technologies while honoring our foundational values.”

Hawaiʻi-based, hands-on

The course features a variety of learning materials, including instructional videos, Hawaiʻi-based stories and practical activities that allow participants to engage in hands-on tools. Throughout the modules, users will discover real-world uses for AI, learn the mechanics of machine learning, and explore critical concepts like bias, fairness, transparency and responsible AI deployment.

Participants who complete the program will be awarded an AI Foundations Badge. This digital credential demonstrates a foundational understanding of AI literacy, ethical practices and responsible use within the university system.

The course operates alongside other key ÌÇÐÄÊÓƵ OneAI Hub initiatives, such as the and the , to support faculty, staff and students in navigating the future of AI.

Researchers at the University of Hawaiʻi at ²ÑÄå²Ô´Ç²¹ are using artificial intelligence and machine learning (AI/ML) to better understand what improves outcomes for individuals receiving treatment for substance use disorders.

A recent study published in analyzed more than 7.9 million publicly available treatment records across the U.S. to identify patterns in services, recovery and outcomes. The research was led by Treena Becker, an assistant researcher with the , and Alberto Gonzalez-Martinez, a ÌÇÐÄÊÓƵ computer scientist.

“We believe our research findings can help states and local organizations better understand how to support people in substance use disorder treatment and their long-term recovery journey at a time when drug overdose deaths continue to be a major public health concern across the U.S.,” Becker said.

Top predictors of positive treatment outcomes

“We developed and used an ensemble machine learning model called Random Forest Model with the aim to predict the 10 most important features that increase the likelihood of positive treatment outcomes,” Becker said.

The analysis found the most important factor associated with positive outcomes was how long an individual remains in treatment, regardless of setting. According to Becker, longer engagement significantly increases the likelihood of reducing or stopping substance use.

Other key factors included treatment accessibility, depending on clinical need, treatment type at entry and at discharge, housing status, participation in self-help groups, employment status and referral source.

Mapping disparities in treatment services

AI/ML tools also allowed researchers to map and visualize the data, revealing patterns difficult to detect using traditional methods. Using the Machine Learning Random Forest Model, the team found that states with the highest overdose death rates tend to have fewer clinically appropriate treatment services available.

“It would have been virtually impossible to analyze so many treatment records without AI/ML assistance,” Becker said.

Based on the findings, Becker recommends that state governments prioritize behavioral health services and work collaboratively to expand access to longer-duration, clinically appropriate treatment programs. Increasing availability—especially in states with limited treatment infrastructure—could significantly improve recovery outcomes nationwide.

Becker, who recently received a pilot project award from (Center for Pacific Innovations, Knowledge and Opportunities), plans to build on the research by examining local data on addiction treatment and recovery among Native Hawaiians and Pacific Islanders.

As artificial intelligence (AI) continues to transform higher education, the University of Hawaiʻi has launched the , a central platform for integrating AI across its 10 campuses. This new website reflects the university’s commitment to shaping AI in a way that deepens knowledge and serves the community while honoring its mission as an Indigenous-serving institution.

A key feature of the website are the , designed to help peers collaborate and share resources across the 10-campus system. These specialized groups allow ÌÇÐÄÊÓƵ faculty and staff to join discussions via Google Groups and share ideas on Padlet.

“The new ÌÇÐÄÊÓƵ OneAI Hub and our Communities of Practice are vital steps in our strategic roadmap for AI integration,” said Gloria Niles, ÌÇÐÄÊÓƵ Chief Academic Technology Innovation Officer. “By collaborating across our campuses, we can thoughtfully implement these technologies to enhance our instructional environments and administrative operations, always ensuring our progress aligns with Native Hawaiian values.”

Communities of Practice:

• Teaching and Learning: For instructors, instructional designers and librarians to share practical strategies for the current semester.
• Research and Discovery: Focused on methods and tools to accelerate research for faculty, graduate students and lab staff.
• Student Support: Aimed at advisors, career services and tutoring centers to develop repeatable approaches that improve student-facing services.
• Operations and Administration: Designed for HR, finance and IT staff to create simple workflows that reduce friction in everyday work.
• Communications and Community Engagement: For outreach teams and media staff to develop clear, consistent AI messaging for ÌÇÐÄÊÓƵ and its communities.
• Governance, Policy and Risk: For policy owners and leadership to establish shared guardrails that enable innovation while protecting people and data.

AI Foundations course, more

In addition, the website will serve as a gateway for professional development. The first chapter of the AI Foundations course, which will help users explore AI, will officially launch on March 29. A new chapter of the course will be released weekly over twelve weeks. Users who complete the AI Foundations course will receive an AI Foundations Badge, a digital credential that demonstrates a core understanding of AI literacy, ethics and responsible use within the ÌÇÐÄÊÓƵ System.

ÌÇÐÄÊÓƵ OneAI Hub also offers the , a hands-on professional development initiative offered by the to help ÌÇÐÄÊÓƵ faculty and staff move beyond basic exploration by integrating AI into their teaching, research and professional activities.