Forum on Engineered AI Systems

With the considerable quickening of R&D in AI, we now know that AI is no longer just a software enterprise but a systems integration tool that marries the precision, speed, and knowledge base of computational devices with the technologies that dominate—and increasingly design—our everyday life. Our forum will consider the promises and perils of engineered AI systems across many domains, including significant implications for ethics, policy, and education.

The event aims to bring together leading professionals, researchers, and thought leaders to discuss the latest advancements, challenges, and future directions in the realm of Engineered AI Systems.

June 5-6, 2024

Johns Hopkins University Bloomberg Center 555 Pennsylvania Avenue NW, Washington DC, 20001

The Forum on Engineered AI Systems will also be held virtually.

Hosted by the Whiting School of Engineering at Johns Hopkins University and the Forum on Complex Unifiable Systems at the National Academy of Engineering


Registration Deadline: May 31, 2024.


There are two versions of the agenda.

Speakers & Panelists

Speakers and panelists are featured here.


Lodging accommodations located near the Bloomberg Center.


Local dining options.

Parking & Transportation

Parking is available in the nearby garages.

Johns Hopkins University

The nation’s first research university never stops evolving.

Johns Hopkins University’s history is rooted in multidisciplinary collaboration and discovery.

Johns Hopkins University Bloomberg Center

The Johns Hopkins University Bloomberg Center pairs the power of nearly 150 years of research leadership with a deep commitment to democracy and government innovation in a vibrant new convening space. The majestic building features modern, configurable spaces that will heighten collaboration between trusted academic experts, global leaders and policymakers, and the next generation of innovators and leaders.

This is where students and faculty transform knowledge into impact, and where cutting-edge research informs evidence-based policies to benefit global democracy and the future of our world.

The Power and Promise of Data Science and AI

Johns Hopkins has made a historic commitment to build the nation’s foremost destination for emerging applications, opportunities, and challenges presented by data science, machine learning, and AI.

The new Data Science and AI Institute will include a state-of-the-art facility on the Homewood campus and an expansion of our computing resource capacity to the scale required for an initiative of this dimension.

“Engineered AI Systems are not just about solving problems; they’re about creating opportunities for innovation and transformation across industries and societies.”

Rama Chellappa, PhD

Bloomberg Distinguished Professor, Johns Hopkins University


Johns Hopkins University Whiting School of Engineering

National Academy of Engineering


Johns Hopkins University Whiting School of Engineering Data Science and AI Institute

Artificial Intelligence for Engineering and Medicine Lab at Johns Hopkins University

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