Machine Learning: Beware the Bias


In the past year or so, I’ve been struck by how we tend to anthropomorphize the machines and mechanize the human beings whose data we rely on. The machines are “ingesting,” “consuming,” and “learning,” while people’s life stories, videos and loved-ones photos –the meaningful moments of their lives — are flattened into consumable “documents” or “transactions.”

This observation is not an excuse to rant against artificial intelligence. On the contrary, the more I work with machine learning, the more appreciative I am of its accuracy and productivity benefits. Rather, it is a call to recognize why human intelligence and compassion are, and will remain, a necessary companion to AI.

Why? Because AI falsely seduces us into believing that the software’s conclusions are somehow “objective,” free of the bias that inevitably informs purely human-based methods of interpretation.

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