Towards a Healthy AI Tradition: Lessons from Biology and Biomedical Science

TL;DR

This paper advocates for developing a healthy AI tradition by learning from biology and biomedical sciences to foster collaboration, reproducibility, and cultural robustness in AI research.

Contribution

It proposes contrasting AI culture with biomedical sciences to establish a robust, collaborative, and reproducible AI tradition, emphasizing cultural adaptations from biomedical practices.

Findings

Biomedical science promotes collaboration and reproducibility.

Adopting biomedical traditions can improve AI research culture.

Cross-disciplinary lessons can guide AI's development towards a healthy tradition.

Abstract

AI is a magnificent field that directly and profoundly touches on numerous disciplines ranging from philosophy, computer science, engineering, mathematics, decision and data science and economics, to cognitive science, neuroscience and more. The number of applications and impact of AI is second to none and the potential of AI to broadly impact future science developments is particularly thrilling. While attempts to understand knowledge, reasoning, cognition and learning go back centuries, AI remains a relatively new field. In part due to the fact it has so many wide-ranging overlaps with other disparate fields it appears to have trouble developing a robust identity and culture. Here we suggest that contrasting the fast-moving AI culture to biological and biomedical sciences is both insightful and useful way to inaugurate a healthy tradition needed to envision and manage our ascent to AGI and beyond (independent of the AI Platforms used). The co-evolution of AI and Biomedical Science offers many benefits to both fields. In a previous perspective, we suggested that biomedical laboratories or centers can usefully embrace logistic traditions in AI labs that will allow them to be highly collaborative, improve the reproducibility of research, reduce risk aversion and produce faster mentorship pathways for PhDs and fellows. This perspective focuses on the benefits to AI by adapting features of biomedical science at higher, primarily cultural levels.