# A System for Accessible Artificial Intelligence

arXiv: https://arxiv.org/abs/1705.00594 · HTML: https://mlsanity.com/paper/1705.00594/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 May 2017.

## Built on by (most cited first, 1 of 1)

- [Benchmarking AutoML algorithms on a collection of synthetic classification problems](https://mlsanity.com/paper/2212.02704/) (2022)

## Abstract (arXiv)

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.