A System for Accessible Artificial Intelligence
This project aims to make AI more accessible for researchers and the public in biomedical and healthcare domains, but it is incremental as it builds on existing genetic programming techniques.
The paper tackles the problem of AI systems being inaccessible to individual researchers and the general public by proposing an ongoing project to develop an open-source, user-friendly AI system specialized for biomedical and healthcare data analysis, with genetic programming highlighted as a method to automate machine learning tasks.
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.