Death by a Thousand Cuts in Machine Learning

Introduction

Everton Gomede, PhD

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Machine learning has witnessed exponential growth and transformative advancements in recent years. Its applications have permeated various fields, ranging from healthcare and finance to transportation and entertainment. However, amidst this progress, a significant concern looms: the phenomenon known as “death by a thousand cuts” in machine learning. This essay explores the concept, its implications, and the strategies to mitigate its effects.

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Everton Gomede, PhD

Postdoctoral Fellow Computer Scientist at the University of British Columbia creating innovative algorithms to distill complex data into actionable insights.