AI at Carey Business School
Building for What's Next with AI
At Carey Business School, we are building on our strengths as a world-renowned research institution to explore and deploy AI in meaningful, impactful ways for the betterment of society.
Leveraging the university’s reputation for excellence and leadership, and legacy of unwavering humanity and boundless curiosity, we are becoming the leading university center for data science and application - one that makes emphatic contributions to scholarship and society in vital fields.
"We have access to more information than ever before in human history. And how we gather, analyze, and interpret this vast ocean of information will indelibly shape our collective future. Johns Hopkins is approaching this moment from a foundation of extraordinary assets and talents.”
Ron Daniels, President, Johns Hopkins University
Featured news
research
What’s yours isn’t mine: AI and intellectual property
business of health
Can AI and digital health solve health care's biggest challenges? Insights from the Conference on Health IT and Analytics
business of health
Will AI be the prescription for better health?
research
What’s yours isn’t mine: AI and intellectual property
business of health
Can AI and digital health solve health care's biggest challenges? Insights from the Conference on Health IT and Analytics
business of health
Will AI be the prescription for better health?
Read more about AI at JHU Carey
Events
MBA Candidate and Dean’s Scholar James Po-Chiang Ting, on his second-place win at the AI Student Club’s AI Hackathon, “The joy of using AI to solve real-world issues made it all worthwhile. The experience not only sharpened my technical abilities but also highlighted the enormous potential of AI in determining the future of business.”
Fall 2024 AI Hackathon
Centers and Initiatives
Center for Digital Health and Artificial Intelligence
The Center for Digital Health and Artificial Intelligence (CDHAI) is an academic center that conducts cutting-edge research at the intersection of digital technologies, analytics, artificial intelligence and health care. CDHAI seeks to create knowledge that will facilitate and accelerate the digital transformation of health care and wider application of unbiased and ethical AI for health.
Human Capital Development Lab
The Human Capital Development Lab (HCD Lab) takes a cross-disciplinary focus on key challenges facing human capital leaders around the world. As a development lab, the affiliated faculty strive to bridge the rigor of academic research with the pragmatic needs of business leaders, policy makers, and professional associations. To support this goal, the HCD Lab is actively engaged with external partners, including businesses, associations, and government agencies.
Hopkins Business of Health Initiative
The Hopkins Business of Health Initiative integrates the scholarship across Johns Hopkins University including the Carey Business School, Bloomberg School of Public Health, School of Nursing, and School of Medicine around a shared vision of a healthier America, supported by an affordable and equitable, high-value health system. In pursuit of this vision, our work focuses on the role of business and incentives through rigorous, objective, non-partisan, interdisciplinary research.
Courses
Leveraging AI For Business Success
This Executive Education course is developed for managers and leaders who want to understand the capabilities and features of AI/ML, enhance their practical understanding of potential applications, and learn about what it takes for an organization to become “AI-Ready.” Learn more about Leveraging AI for Business Success.
AI: Principles and Business Applications
This course covers the foundations of Artificial Intelligence (AI) technologies with emphasis on their business application. Read more about AI: Principles and Business Applications
Data Science: Artificial Intelligence
This course introduces key concepts of AI, including its mathematical, computational, and economic foundations, and how to manage and lead businesses in the age of AI. Read more about Data Science: Artificial Intelligence
AI Essentials for Business (formerly Big Data: Machine Learning)
Experts
Javad Abed, PhD
Ritu Agarwal, PhD
Tinglong Dai, PhD
Kathleen Day, MBA, MS
Gordon Gao, PhD
Sudip Gupta, PhD
Evgeny Kagan, PhD
Jim Kyung-Soo Liew, PhD
Phillip Phan, PhD
Shubhranshu Singh, PhD
Richard R. Smith, PhD
Haiyang Yang, PhD
Media Contact
To arrange an interview with one of our faculty or AI experts, please contact:
Maggie Ward, Media Relations Specialist
mward67@jh.edu | 724-814-2530