Interview
Interview

Interview

Alumni/ae Analytics Artificial Intelligence Books and authors Business and management Data Education, teaching, academics Faculty Health Care Interview machine learning Medicine MIT Sloan School of Management MITx Office of Open Learning Provost Research

Q&A: A roadmap for revolutionizing health care through data-driven innovation

A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.

Artificial Intelligence Chemical engineering Ethics Interview Photography School of Engineering

3 Questions: Visualizing research in the age of AI

Felice Frankel discusses the implications of generative AI when communicating science visually.

Artificial Intelligence Chemical engineering Ethics Interview Photography School of Engineering

3 Questions: Visualizing research in the age of AI

Felice Frankel discusses the implications of generative AI when communicating science visually.

Artificial Intelligence Chemical engineering Ethics Interview Photography School of Engineering

3 Questions: Visualizing research in the age of AI

Felice Frankel discusses the implications of generative AI when communicating science visually.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Electrical engineering and computer science (EECS) Interview machine learning MIT Schwarzman College of Computing School of Engineering Staff

3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.

Artificial Intelligence Climate change Computer science and technology Electricity Emissions Energy Energy efficiency Interview Lincoln Laboratory machine learning Staff Supercomputing Sustainability Sustainable computing Technology and society

Q&A: The climate impact of generative AI

As the use of generative AI continues to grow, Lincoln Laboratory’s Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.

Algorithms Artificial Intelligence Computer science and technology Data Design Human-computer interaction Interview machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

3 Questions: Inverting the problem of design

MIT and IBM researchers are creating linkage mechanisms to innovate human-AI kinematic engineering.

Artificial Intelligence Classes and programs Democracy Education, teaching, academics Government Interview MIT Schwarzman College of Computing MIT Sloan School of Management Political science politics School of Humanities Arts and Social Sciences Undergraduate Research Opportunities Program (UROP) Voting and elections

Q&A: A new initiative to help strengthen democracy

David Singer, head of the MIT Department of Political Science, discusses the Strengthening Democracy Initiative, focused on the rigorous study of elections, public opinion, and political participation.

Artificial Intelligence Classes and programs Democracy Education, teaching, academics Government Interview MIT Schwarzman College of Computing MIT Sloan School of Management Political science politics School of Humanities Arts and Social Sciences Undergraduate Research Opportunities Program (UROP) Voting and elections

Q&A: A new initiative to help strengthen democracy

David Singer, head of the MIT Department of Political Science, discusses the Strengthening Democracy Initiative, focused on the rigorous study of elections, public opinion, and political participation.

Algorithms Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) health Health Care Human-computer interaction Interview Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing School of Engineering

3 Questions: Should we label AI systems like we do prescription drugs?

Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.