# A System for Accessible Artificial Intelligence

## TL;DR

This paper discusses developing an open-source, user-friendly AI system tailored for biomedical data analysis, emphasizing accessibility for researchers and the public, and explores how genetic programming can automate machine learning tasks.

## Contribution

It introduces an ongoing project to create accessible AI tools for biomedical research, utilizing genetic programming to automate complex machine learning analyses.

## Key findings

- Genetic programming can automate machine learning analysis tasks.
- The project aims to develop an open-source AI system for biomedical data.
- Initial examples demonstrate automation of complex analyses.

## Abstract

While artificial intelligence (AI) has become widespread, many commercial AI systems are not yet accessible to individual researchers nor the general public due to the deep knowledge of the systems required to use them. We believe that AI has matured to the point where it should be an accessible technology for everyone. We present an ongoing project whose ultimate goal is to deliver an open source, user-friendly AI system that is specialized for machine learning analysis of complex data in the biomedical and health care domains. We discuss how genetic programming can aid in this endeavor, and highlight specific examples where genetic programming has automated machine learning analyses in previous projects.