Human-computer interaction
Human-computer interaction

Human-computer interaction

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Study finds ChatGPT boosts worker productivity for some writing tasks

A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.

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Day of AI curriculum meets the moment

Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.

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Envisioning the future of computing

MIT students share ideas, aspirations, and vision for how advances in computing stand to transform society in a competition hosted by the Social and Ethical Responsibilities of Computing.

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If art is how we express our humanity, where does AI fit in?

MIT postdoc Ziv Epstein SM ’19, PhD ’23 discusses issues arising from the use of generative AI to make art and other media.

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 School of Engineering

New tool helps people choose the right method for evaluating AI models

Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Ethics Faculty Human-computer interaction Interview Language machine learning MIT Schwarzman College of Computing Natural language processing School of Engineering Technology and society

3 Questions: Jacob Andreas on large language models

The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.

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.