Fairness and Machine Learning
Solon Barocas& Moritz Hardt& Arvind Narayanan
In this book, we take machine learning as a reason to revisit this leap of faith and to interrogate how institutions make decisions about individuals. Institutional decision making has long been formalized via bureaucratic procedures and machine learning shares much in common with it. In many cases, machine learning is adopted to improve and sometimes automate the high-stakes decisions routinely made by institutions. Thus, we do not compare machine learning models to the subjective judgments of individual humans, but instead to institutional decisionmaking. Interrogating machine learning is a way of interrogating institutional decision making in society today and for the foreseeable future.
ক্যাটাগোরিগুলো:
সাল:
2023
ভাষা:
english
পৃষ্ঠা:
294
ফাইল:
PDF, 2.11 MB
IPFS:
,
english, 2023
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