Institute for Artificial Intelligence Archives | Syracuse University Today /topic/instituteai/ Wed, 23 Sep 2026 19:18:10 +0000 en-US hourly 1 https://wordpress.org/?v=7.1.2 /wp-content/uploads/2025/08/cropped-apple-touch-icon-120x120.png Institute for Artificial Intelligence Archives | Syracuse University Today /topic/instituteai/ 32 32 Syracuse University Launches Institute for Artificial Intelligence /2026/09/23/syracuse-university-launches-institute-for-artificial-intelligence/ Wed, 23 Sep 2026 19:18:09 +0000 /?p=343711 The new institute unites researchers from four schools and colleges to advance the science and application of AI.

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Paulo Shakarian, the KG Tan Endowed Professor of Artificial Intelligence in the College of Engineering and Computer Science, is director of the Institute for Artificial Intelligence.

Syracuse University Launches Institute for Artificial Intelligence

The new institute unites researchers from four schools and colleges to advance the science and application of AI.
Wendy S. Loughlin Sept. 23, 2026

Syracuse University today announced the launch of the , which brings together world-class researchers from across campus whose unique expertise in AI will help advance research, teaching and practice in the rapidly expanding field.

“Artificial intelligence is one of the defining research challenges of this decade, and Syracuse is making a serious commitment to it,� says , vice president for research. “The Institute for Artificial Intelligence brings our faculty together to pursue AI research at a scale no single lab or department could take on alone, to build lasting partnerships with industry and government, and to translate that work into real-world impact.�

Led by , the KG Tan Endowed Professor of Artificial Intelligence in the (ECS), the institute brings together with expertise spanning engineering, information science, public policy and communications.

“This institute reflects Syracuse University’s commitment to advancing artificial intelligence research that is both rigorous and responsible,� says Shakarian, who serves as director and executive committee chair. “We’re building a research community that is equipped to tackle AI’s hardest technical problems alongside its societal implications. We envision a future of resilient AI systems that lead to high impact applications.�

, associate professor of public administration and international affairs in the , is associate director and executive committee vice chair.

Four Research Areas

Research at the institute is organized around four areas of focus:

  • AI and Security: Research spanning AI for cybersecurity, security of AI systems, formal verification and vulnerability discovery.
  • Multidomain Intelligence: Sensing and perception research, including signal and image analysis and energy-efficient AI systems.
  • AI in Socio-Cognitive Dynamics: How AI systems interact with human cognition, communication and social networks.
  • AI for Governance and Policy: Trustworthy AI, AI safety and the policy frameworks needed to guide AI’s global development and deployment.

Federal research agencies and industry partners will also support the institute’s research agenda through collaboration and funding agreements.

Public Events, AI Community-Building

Planned public events, including lectures, workshops and symposia, will help the institute share knowledge, foster collaboration and engage the broader AI community. Events this fall include:

  • (Oct. 12-13, Washington, D.C.): Sponsored by the , this invitation-only workshop will examine AI use for decision making across the domains of electronic warfare, radar, aerial and space.
  • (Nov. 5-7, Arlington, Virginia): This symposium will feature traditional paper sessions with extended discussion, a poster session, three invited keynote speakers and a closing panel focused on artificial metacognition—AI’s ability to reflect on itself.

The Institute for Artificial Intelligence is part of , which includes undergraduate and graduate degree programs in AI, a suite of AI-focused minors and the peer-led AI Bootcamp for students, reinforcing the University’s position as a growing center for AI research and education. The institute will also create research opportunities for students and supports United AI, a student community that brings together undergraduate and graduate students from across the University to learn, build and lead in AI.

The Institute for Artificial Intelligence is located on the second floor of Hinds Hall. For more information, visit .

 

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Syracuse University Launches Uniquely Comprehensive AI Academic Portfolio /2026/07/08/syracuse-university-launches-uniquely-comprehensive-ai-academic-portfolio/ Wed, 08 Jul 2026 16:49:29 +0000 /?p=340509 Degree programs, student bootcamp, research place Syracuse among a small group of universities offering a full, interdisciplinary path into artificial intelligence.

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Syracuse University Launches Uniquely Comprehensive AI Academic Portfolio

Degree programs, student bootcamp, research place Syracuse among a small group of universities offering a full, interdisciplinary path into artificial intelligence.
Wendy S. Loughlin July 8, 2026

Syracuse University today announced the launch of a sweeping for Fall 2026, giving students an unusually complete set of pathways into one of the most consequential fields of the century.

The portfolio includes standalone ²ú²¹³¦³ó±ð±ô´Ç°ù’s and ³¾²¹²õ³Ù±ð°ù’s degree programs, cross-disciplinary minors, hands-on co-curricular opportunities and research that together make up a single, coherent ecosystem.

“While AI degree programs are proliferating nationally, few institutions are bringing the full picture to market at once,� says , vice chancellor, provost and chief academic officer. “This is an entire environment for students who want to master AI and shape what it becomes. Whether they want to build the technology, govern it or apply it to a wide range of disciplines, there is now a clear path for these students at Syracuse.�

Academic Opportunities in AI

The Syracuse AI portfolio includes new and degrees in artificial intelligence science; a new ²ú²¹³¦³ó±ð±ô´Ç°ù’s degree in ; a ³¾²¹²õ³Ù±ð°ù’s degree in ; seven AI minors; a broad research portfolio across multiple schools and colleges; and a peer-led bootcamp designed to provide students with hands-on AI experience as soon as they arrive on campus.

“Artificial intelligence isn’t confined to a single classroom or discipline at Syracuse University—it’s woven into how our students learn, how our faculty conduct research and how we prepare graduates for a workforce being reshaped by this technology,� says , senior vice president for digital transformation, chief digital officer and interim dean of the . “From new degree programs to cross-campus research initiatives, we’re building an AI portfolio that reflects both the urgency and the opportunity this moment demands.�

The breadth and depth of this portfolio are what distinguishes the Syracuse approach. The ²ú²¹³¦³ó±ð±ô´Ç°ù’s in integrative artificial intelligence is designed for students who want to combine AI with other interests, from public affairs to design to the life sciences. The seven new minors let students in any major add AI fluency in areas like policy, ethics and data. And the AI Bootcamp, a student-led program offering stackable microcredentials, provides students with AI immersion even before they declare a major.

Students are also driving the momentum through the student-led AI organization, United AI, which gives undergraduates hands-on research experience through its Foundry program, cross-campus education initiatives and direct partnerships with leading AI companies.

“Students don’t experience AI as a single subject, and we didn’t want to teach it that way,� says , interim dean of the and associate provost for academic programs. “We built this portfolio so that a future engineer, a future policymaker and a future artist can all find a serious path into AI here and can start the moment they arrive on campus.�

Robust Research

Syracuse University boasts a robust and growing portfolio of research and creative activity related to artificial intelligence. With work spanning engineering, computer science, law, public policy, communications and the humanities, faculty and students are applying AI to challenges ranging from cybersecurity and health care to media literacy and the arts. This interdisciplinary momentum reflects the University’s commitment to advancing AI research that is both technically rigorous and grounded in real-world impact.

“Our faculty are not studying artificial intelligence in the abstract,� says , vice president for research. “They are building systems that detect synthetic media, investigating how algorithmic decision-making affects communities, developing new approaches to cybersecurity and creating new AI capabilities beyond today’s large language models. Students who come to Syracuse will learn from researchers who are actively shaping how AI is built, governed and understood.�

Learn more about artificial intelligence at Syracuse University by visiting .

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Trusting AI to Do the Hard Stuff: Think, Reflect, Follow Rules /2025/11/19/trusting-ai-to-do-the-hard-stuff-think-reflect-follow-rules/ Wed, 19 Nov 2025 20:29:51 +0000 /?p=329019 As a pioneer in neuro-symbolic AI, Paulo Shakarian conducts research that applies across national security, cybersecurity and critical decision-making systems.

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(Photo by Amy Manley)

Trusting AI to Do the Hard Stuff: Think, Reflect, Follow Rules

As a pioneer in neuro-symbolic AI, Paulo Shakarian conducts research that applies across national security, cybersecurity and critical decision-making systems.
Diane Stirling Nov. 19, 2025

Artificial intelligence is no longer theoretical. It diagnoses diseases, guides self-driving vehicles, screens for airport security threats and helps make military decisions, in addition to performing dozens of everyday tasks. But can we trust AI to get such critical decisions right, and trust that it is acting in our best interests?

A
Shakarian directs the Leibniz Lab in the Department of Electrical Engineering and Computer Science and is also a course instructor. (Photo by Amy Manley)

, the inaugural in the (ECS), has built his career on answering those questions. He’s recognized internationally as a pioneer in , an approach that combines the pattern-recognition power of machine learning with the logical reasoning of traditional AI. His work has practical applications across national security, cybersecurity and critical decision-making systems.

Shakarian came to the University this fall from Arizona State University, where he served as research director for the School of Computing and AI. At Syracuse, he directs the , a research lab in the Department of Electrical Engineering and Computer Science dedicated to unifying ideas of reasoning and learning in AI. He also is a course instructor.

We sat down with Shakarian to get his take on some of our most pressing questions about AI.

 

Q:
How does metacognitive AI—AI that reflects on its own thinking and decisions—make AI more helpful and trustworthy?
A:

Metacognitive AI allows AI systems to consider their own potential mistakes and correct them, similar to how someone might catch themself making an error and fix it. In humans, metacognition controls mental resources like memory and effort. Our vision at the Leibniz Lab is to create metacognitive structures that give users insights into potential mistakes and allow AI frameworks to regulate their use of energy and computing power.

Q:
Your research challenges the reliance on deep learning and pattern recognition in AI. Why is that approach problematic?
A:

Deep learning has provided significant advances but has a fundamental limitation: It finds statistical patterns and produces “averageâ€� answers based on the data it has seen before. That approach becomes problematic when a system encounters situations it hasn’t previously faced. This is why AI can sometimes generate “hallucinations”—responses that are statistically likely but that don’t conform to our mental models of the world.

Q:
Why is it important to combine rule-based AI with pattern-recognition AI?
A:

Machine learning is great at learning patterns in data, but it isn’t capable of precise reasoning. Rule-based systems can follow logical steps or mathematical rules perfectly, but it’s often challenging to obtain rules from data. These approaches are clearly complementary and by combining them, we can get AI that both learns from data and reasons precisely.

Q:
How does metacognitive AI address the biggest overlooked security risks in AI systems?
A:

Generative AI technology greatly expands the “attack surface” in systems—the number of ways an adversary can attempt to launch an attack. Traditional software has limited ways users can interact with it (specific buttons and menus that are easier to secure). But AI chatbots accept any text input. That can create countless opportunities for attackers to craft malicious prompts to try to manipulate the system. Security teams can’t anticipate every possible attack. With metacognitive AI, instead of trying to block attacks upfront, the AI can monitor itself, determine when its behavior is outside the norm and flag suspicious activity.

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Paulo Shakarian to Present at the Association for the Advancement of Artificial Intelligence Conference /2025/11/10/paulo-shakarian-to-present-at-a-a-a-i-conference/ Mon, 10 Nov 2025 20:27:11 +0000 /?p=328545 The Electrical Engineering and Computer Science professor will address metacognitive artificial intelligence at the Singapore conference in January 2026.

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Paulo Shakarian

Paulo Shakarian to Present at the Association for the Advancement of Artificial Intelligence Conference

The Department of Electrical Engineering and Computer Science professor will address metacognitive artificial intelligence at the Singapore conference in January 2026.
Nov. 10, 2025

KG Tan Endowed Professor of Artificial Intelligence Paulo Shakarian was as one of 10 speakers to address emerging trends at the  in Singapore from Jan. 20-27, 2026. AAAI is the premier scientific society dedicated to artificial intelligence (AI), advancing the scientific understanding of the mechanisms underlying behavior and their embodiment in machines.

The emerging trends in AI track at the AAAI conference aims to expose the AI community to exciting, under recognized or fast-developing ideas from the various AI subdisciplines, as well as from adjacent disciplines and domains. Talks will summarize new developments and competitions that are likely to shape future AI research agendas.

Shakarian will be discussing metacognitive artificial intelligence and a recent paper titled “Towards Artificial Metacognition.� Metacognitive AI deals with the study of artificial intelligence systems that can self-monitor and/or regulate resources.  The concept has its roots in cognitive psychology studies on human metacognition.  It has led to the understanding of how people monitor, control and communicate their cognitive processes.

“It is an honor to have been selected to present an emerging trend talk at AAAI,” Shakarian says. “I am really grateful to the community of researchers that have coalesced around artificial metacognition over the past two years.  An exciting community has formed consisting of not only computer scientists, but from diverse disciplines including cognitive psychology, systems engineering and aerospace, among others. Developing artificial systems that reason about themselves is, in my view, a key challenge that we must address in order to deliver AI systems that are more resilient and robust.â€�

Shakarian has written numerous papers on metacognitive AI and has also edited a book on the topic.  He has received several grant awards on the topic from the Army and DARPA, and most recently he has received funding for several high-end Nvidia-based GPU systems that will soon arrive at Syracuse.

Shakarian has also sought to create a , holding several workshops on the topic since 2023.

“Paulo’s innovative work in metacognitive and neuro-symbolic AI represents the next wave of AI research,” Alex Jones, chair of , says. “His recognition by AAAI signifies both his leadership in the field and Syracuse University’s growing role at the forefront of artificial intelligence.”

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