Unraveling Techno-Solutionism: How I Fell out of Love with "Ethical" Machine Learning

techno-solutionismai-ethicsalgorithmic-biastraining-datadata-justice

Abstraction: Critique of naive belief that technology inherently solves societal problems

Key points:

Techno-solutionism is defined as the naive belief that any problem can be solved by applying "a magic technology box" and that technological advancement is inherently good
Training datasets embed biases from human taggers — illustrated by a photo tagged as "a hot, blond girl getting criticized by her boss," demonstrating how low-paid taggers import subjective framing into AI training data
Benefits and harms of technology are unevenly distributed; roots traced to Silicon Valley mythology and California settler mentality of overcoming challenges
Six warning signs of techno-solutionism: optimizing arbitrary metrics, universal enthusiasm, magic-bullet thinking, revolutionary hyperbole, excluding critics, not testing non-technical alternatives
Five lessons: contextualize the tech; research impact not just technology; include affected communities; use precise language about change; fight for justice not just better architectures
Speaker Katherine Jarmul (Thoughtworks) argues technologists must take collective responsibility for societal outcomes, not just technical outcomes

Connections: Thoughtworks · AI Ethics · Algorithmic Bias · Responsible AI