Thursday, May 28 – Friday, May 29, 2026
Hopkins Bloomberg Center, Washington, D.C.
We are in the midst of an economy-wide AI transformation—one that is reshaping industries, redefining work, and challenging leaders to rethink how their organizations create value.
Leading with AI: Building Trust and Powering Growth will explore this rapidly evolving landscape, offering frontier insights, new connections, and practical ideas for navigating change. Hosted by the Johns Hopkins University Technology and Society Initiative in Washington, D.C., this two-day executive summit brings together business leaders, policymakers, and academics to examine how AI can drive innovation and growth responsibly.
Featuring leading academics and business executives, the agenda bridges research and practice at the frontier of AI leadership, addressing:
- The economic and organizational impact of AI
- Building trust in the age of AI
- Leading through an AI transformation
- Launching AI-based products
In an era defined by disruption, Leading with AI equips decision-makers across business, government, and academia to understand the evolving role of AI, leverage data and AI responsibly, and avoid the predictable missteps that derail transformation—helping them understand the current landscape and design trustworthy systems and strategies that will sustain innovation and growth.
Speaker Snapshots:
Anjali Adukia, University of Chicago, Harris School of Public Policy
Anjali Adukia is an assistant professor at the University of Chicago Harris School of Public Policy and the director of the MiiE Lab (Messages, Identity, and Inclusion in Education). In her work, she seeks to understand how children from all backgrounds can have opportunities to realize their potential. Adukia’s work draws on large-scale data, often deriving data from previously unused and underused sources, including employing artificial intelligence (AI) methods to expand the tools and data used in social science.
Duncan Gilchrist, Founder of Delphina
Duncan Gilchrist is cofounder of Delphina, where he’s building next-generation AI systems that help businesses turn data into smarter decisions. Before founding Delphina, he held multiple leadership roles at Uber, including Head of Ridesharing Pricing and Incentives Science and Director of Uber Eats Marketplace Science. Duncan earned a Ph.D. in Business Economics and an A.B. in Applied Mathematics from Harvard University, and his research has appeared in leading economics journals. He’s passionate about using AI to translate data into insight and to empower better, faster decision-making at scale.
Jeff Marowits, CEO of Keystone
Jeff Marowits guides Keystone’s business at the intersection of economics, computer science and management science. He has been with the firm since its second year, 2004, helping to build it into one of the world’s leading technology and science focused consultancies. Marowits brings three decades of experience advising top technology companies, global law firms and government agencies on crucial strategic, legal and regulatory challenges. Marowits’ practice spans Intellectual Property; competition and antitrust; transfer controversary and securities litigation; consumer protection; data privacy; healthcare technology; public policy; and business strategy. His clients include an array of technology firms including Microsoft, Amgen, Amazon, Meta, Oracle, ess and LinkedIn. Most recently, Marowits led Keystone’s contributions to Epic Games’ victory against Google, finding the tech giant liable for monopolizing two Android app markets.
Ziad Obermeyer, UC Berkeley, co-founder Dandelion Health
Ziad Obermeyer is an associate professor and Blue Cross of California Distinguished Professor at the Berkeley School of Public Health, and helped set up the Computational Precision Health program, joint between Berkeley and UCSF. His research and teaching focus on the intersection of machine learning and health.
Mike Ostrovsky, Stanford GSB and co-founder, Topsort
Mike Ostrovsky is the Fred H. Merrill Professor of Economics at Stanford GSB. His research is in the areas of game theory, market design, industrial organization, and finance. Most recently, he has analyzed the economics of carpooling and self-driving cars, the properties of internet advertising auctions, information aggregation in financial markets, stability in trading networks, and voting in shareholder meetings.
Jorge Tamayo, Harvard Business School
Jorge Tamayo is an applied microeconomist primarily interested in industrial organization and development economics. His research focuses on theoretical modeling and structural estimation of firm decision-making and productivity. Professor Tamayo examines the market responses to settings in which firms use price discrimination (i.e. subscriptions, or membership fees) for goods and services. His research also focuses on the ways in which managers contribute to the productivity dynamics of their teams.
Ye Tian, Founder and CEO of Theia Insights
Ye Tian is the Founder and CEO of Theia Insights, an AI company applying advances in machine learning and language technologies to real-world data challenges in the investment industry. Prior to founding Theia, Ye worked in natural language processing and artificial intelligence across leading universities, startups, and major technology companies. Driven by curiosity and a passion for building transformative technology, Ye is focused on developing AI tools that expand human understanding and support responsible innovation. Ye received a PhD in Computational Linguistics from UCL and a BSc in Economics and Business Management from Tsinghua University.
For more information and to register: https://carey.jhu.edu/faculty/research-centers-initiatives/tech-society-initiative/events/leading-ai-building-trust-powering-growth