Reimagining human population genetics in the age of Artificial Intelligence

In recent years, deep learning, a branch of artificial intelligence (AI), has reshaped how population geneticists analyse data, generate hypotheses, and model evolutionary processes. The shift to data-driven methods facilitates the integration of diverse data types, such as environmental and phenotypic information, with genomic data. However, it also raises important ethical and political questions about how these tools are developed, shared, interpreted, and applied.

In an opinion piece, we argue about the promises and pitfalls of AI in human population genetics. We advocate for human population genetics that is technically innovative, intellectually expansive, and ethically grounded. Only by meeting these standards can AI contribute to cutting-edge, creative, and committed research.

The opinion piece is available here.