Human-computer interaction
Human-computer interaction

Human-computer interaction

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing Research School of Engineering Technology and society

Study: AI models fail to reproduce human judgements about rule violations

Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Education, teaching, academics Electrical Engineering & Computer Science (eecs) Ethics Human-computer interaction Language machine learning MIT Schwarzman College of Computing School of Engineering Special events and guest speakers Technology and society

MIT CSAIL researchers discuss frontiers of generative AI

Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.

Algorithms Artificial Intelligence Data Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research Research Laboratory of Electronics School of Engineering

Efficient technique improves machine-learning models’ reliability

The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.