Non-expert AI Users Building Machine Learning Models: A Short Survey of AutoML Systems
Camilo Palazuelos, Rafael Duque, Cristina Tîrnȃucȃ, Alejandro Pérez, Abraham Casas · 2024
The Artificial Intelligence for All initiative strives to ensure that artificial intelligence is accessible and beneficial to individuals from diverse backgrounds, regardless of their knowledge or expertise. Machine learning, a critical component of artificial intelligence, enables computers to learn from data and facilitates informed decision-making. Automated machine learning, or AutoML, automates the machine learning pipeline and thus makes it accessible to non-expert users. Although prior scientific research has reviewed various aspects of AutoML, its potential to democratize machine learning remains unexplored. In this survey, we aim to fill this gap by (i) reviewing systems and tools that help visualize the machine learning pipeline, (ii) evaluating the degree of user control in the process and (iii) identifying risks and limitations of current AutoML systems.