Gender bias in AI and women's role in tech spotlighted in recent publications

A new Italian volume examines how gender‑blind data in artificial‑intelligence–driven health systems creates systematic bias against women. It argues that androcentric models affect diagnosis, drug dosing and immunology, and calls for gender‑aware datasets, ethical governance and compliance with WHO and AI Act guidelines.

Another book released in 2026, *Vite intelligenti* by Maurizio Caminito, chronicles pioneering women such as Ada Lovelace, the ENIAC programmers, Grace Hopper and Margaret Hamilton. It shows how women’s contributions have been marginalised in the history of computing and connects those biographies to contemporary AI debates, urging more inclusive development of the technology.