Human-computer interaction
Human-computer interaction

Human-computer interaction

Artificial Intelligence Communications Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research Robotics School of Engineering Students

Reasoning and reliability in AI

PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.

Artificial Intelligence Classes and programs Collaboration Data Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Human-computer interaction Industry Linguistics machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research School of Engineering School of Humanities Arts and Social Sciences Students

Leveraging language to understand machines

Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Health Care Human-computer interaction IDSS Institute for Medical Engineering and Science (IMES) machine learning MIT Schwarzman College of Computing Research School of Engineering

Automated system teaches users when to collaborate with an AI assistant

MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research Robots

New method uses crowdsourced feedback to help train robots

Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.

Artificial Intelligence Arts Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Ethics Human-computer interaction IDSS Labor and jobs Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing School of Engineering

Explained: Generative AI

How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?

Artificial Intelligence Computer modeling Computer science and technology computer-vision Data Design Human-computer interaction Invention machine learning Mechanical engineering Research School of Engineering

To excel at engineering design, generative AI must learn to innovate, study finds

AI models that prioritize similarity falter when asked to design something completely new.

Artificial Intelligence Computer science and technology Electrical Engineering & Computer Science (eecs) Human-computer interaction Lincoln Laboratory Research Robotics

A method to interpret AI might not be so interpretable after all

Some researchers see formal specifications as a way for autonomous systems to “explain themselves” to humans. But a new study finds that we aren’t understanding.

Aircraft Algorithms Artificial Intelligence Aviation Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Distributed Robotics Laboratory Drones Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing Networks Research Robotics School of Engineering

AI copilot enhances human precision for safer aviation

Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.

Aircraft Algorithms Artificial Intelligence Aviation Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Distributed Robotics Laboratory Drones Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing Networks Research Robotics School of Engineering

AI copilot enhances human precision for safer aviation

Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.

Artificial Intelligence Behavior Computer science and technology Human-computer interaction machine learning Media Lab Mental health Research School of Architecture and Planning Technology and society

Is AI in the eye of the beholder?

Study shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their interactions with the chatbot.