What I Don’t Get About AI . . .
Name
What I Don t Get About AI . . ..pdf
Size
2.04 MB
Format
Adobe PDF
Checksum (MD5)
1b35a9b91cfa9cd99d0e1ac48bd29565
Author(s)
Wright, Randall S.
Date Issued
November 5, 2024
Journal
Research-Technology Management
Publisher
Taylor & Francis
Citation
Wright, R. S. (2024). What I Don’t Get About AI . . . Research-Technology Management, 67(6), 47–50.
Version
Final published version
Abstract
In a recent MIT News article titled “Explained: Generative AI,” Adam Zewe (Citation2023) writes
But what do people really mean when they say ‘generative AI?’
Before the generative AI boom of the past few years, when people talked about AI, typically they were talking about machine-learning models that can learn to make a prediction based on data. For instance, such models are trained, using millions of examples, to predict whether a certain X-ray shows signs of a tumor or if a particular borrower is likely to default on a loan.
Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on.
MIT Department
Massachusetts Institute of Technology. Office of Strategic Alliances and Technology Transfer. Corporate Relations
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1080/08956308.2024.2394379
