Kristian J. Hammond
· Bill and Cathy Osborn Professor of Computer ScienceNorthwestern University · Chemical Engineering
Active 1963–2026
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About
Kristian J. Hammond is the Bill and Cathy Osborn Professor of Computer Science at Northwestern University. He serves as the Director of the Master of Science in Artificial Intelligence Program and is the Director of the Center for Advancing Safety of Machine Intelligence (CASMI). His research interests encompass artificial intelligence, natural language generation, narrative generation, conversational interfaces, and the future of work, with a focus on developing human capabilities onto machines. Hammond has co-founded Narrative Science, a startup that uses artificial intelligence and journalism to transform raw data into natural language, integrating computer science and artificial intelligence into various aspects of life. His work explores AI safety, harm, and the ethical implications of artificial intelligence, contributing to the understanding and development of intelligent systems that enhance human capabilities.
Research topics
- Computer Science
- Political Science
- Computer Security
- Psychology
- Machine Learning
- World Wide Web
- Internet privacy
- Medicine
- Artificial Intelligence
- Environmental health
Selected publications
Research gaps and opportunities in precision nutrition: an NIH workshop report
American Journal of Clinical Nutrition · 2022 · 91 citations
Deep Learning for Cardiovascular Imaging
JAMA Cardiology · 2023 · 56 citations
Importance: Artificial intelligence (AI), driven by advances in deep learning (DL), has the potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its infancy, research is accelerating to aid in the acquisition, processing, and/or interpretation of CVI across various modalities, with several commercial products already in clinical use. It is imperative that cardiovascular imagers are familiar with DL systems, including a basic understanding of how they work,…
How to build a more open justice system
Science · 2020 · 22 citations
Court records are unstructured and costly to access—here's how to fix it
A user-centered approach to developing an AI system analyzing U.S. federal court data
Artificial Intelligence and Law · 2022-08-01 · 11 citations
articleOpen accessSenior authorAbstract We implemented a user-centered approach to the design of an artificial intelligence (AI) system that provides users with access to information about the workings of the United States federal court system regardless of their technical background. Presently, most of the records associated with the federal judiciary are provided through a federal system that does not support exploration aimed at discovering systematic patterns about court activities. In addition, many users lack the data a…
Hybrid Intelligence: A Paradigm for More Responsible Practice
SSRN Electronic Journal · 2022-01-01 · 11 citations
articleOpen access
Recent grants
Frequent coauthors
- 27 shared
Jay Budzik
- 23 shared
Larry Birnbaum
- 17 shared
David A. Shamma
Toyota Industries (United States)
- 14 shared
Sara Owsley
- 14 shared
Robin Burke
- 14 shared
Shannon Bradshaw
- 13 shared
Timothy M. Converse
- 12 shared
Colleen M. Seifert
Purdue University System
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