The future of our society is interwoven with the future of data-driven thinking—most prominently, artificial intelligence is set to reshape every aspect of our lives.
Research in this area studies the interface between AI-driven systems and human actors, exploring both the impact of data-driven decision-making on human behavior and experience, and how AI technologies can be used to improve access to opportunities. This research combines a variety of areas including AI, machine learning, economics, social psychology, and law.
Our research activities are complemented with initiatives aimed at educating students and practitioners on frontier AI technologies and their social, ethical and economic impact on society. Our goal is to produce leaders in the field across industry, government and academia. Faculty working in this area contribute to the influential policy work spearheaded by the Schwarzman College of Computing through its AI Policy Forum, which seeks to translate frontier AI principles into policy practice.
Latest news in AI and society
While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
Large language models can learn to mistakenly link certain sentence patterns with specific topics — and may then repeat these patterns instead of reasoning.
Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society.