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Better Humans, Better Machines: Eugenic Ideology in Transhumanism and AI Futures

This work in progress traces the ideological afterlife of eugenics from early 20th-century science to today’s AI rhetoric. Using bibliometric and NLP methods on 5,000+ historical articles, we show how eugenic notions of ranking and “improving” humanity persist—rebranded within transhumanist and TESCREAL movements and encoded in generative-AI systems. Our findings highlight the urgent need for epistemic diversity and socially responsible design to prevent algorithmic systems from perpetuating old hierarchies under new technological guises.

Nada Hashmi
Babson College
United States
nhashmi@babson.edu

 

Sydney Lodge
Georgia Institute of Technology
United States
slodge3@gatech.edu

 

Cassidy R. Sugimoto
Georgia Institute of Technology
United States
sugimoto@gatech.edu

 

Thema Monroe‑White
George Mason University
United States
tmonroew@gmu.edu