David Weinberger, Harvard Business Review; How Machine Learning Pushes Us to Define Fairness
"Even with the greatest of care, an ML
system might find biased patterns so subtle and complex that they hide
from the best-intentioned human attention. Hence the necessary current
focus among computer scientists, policy makers, and anyone concerned
with social justice on how to keep bias out of AI.
Yet machine learning’s very nature
may also be bringing us to think about fairness in new and productive
ways. Our encounters with machine learning (ML) are beginning to give
us concepts, a vocabulary, and tools that enable us to address questions
of bias and fairness more directly and precisely than before."
Issues and developments related to ethics, information, and technologies, examined in the ethics and intellectual property graduate courses I teach at the University of Pittsburgh School of Computing and Information. My Bloomsbury book "Ethics, Information, and Technology" will be published in Summer 2025. Kip Currier, PhD, JD
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