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European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
by
Goodman, Bryce
, Flaxman, Seth
in
Algorithm
/ Algorithms
/ Artificial intelligence
/ Automation
/ Big Data
/ Compensation
/ Data integrity
/ Data mining
/ Data warehousing/data mining
/ Decision making
/ Discrimination
/ General Data Protection Regulation
/ Government regulation
/ International law
/ Law
/ Laws
/ Laws, regulations and rules
/ Machine learning
/ Neural networks
/ Personal information
/ Regulation
/ Social networks
2017
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European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
by
Goodman, Bryce
, Flaxman, Seth
in
Algorithm
/ Algorithms
/ Artificial intelligence
/ Automation
/ Big Data
/ Compensation
/ Data integrity
/ Data mining
/ Data warehousing/data mining
/ Decision making
/ Discrimination
/ General Data Protection Regulation
/ Government regulation
/ International law
/ Law
/ Laws
/ Laws, regulations and rules
/ Machine learning
/ Neural networks
/ Personal information
/ Regulation
/ Social networks
2017
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Do you wish to request the book?
European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
by
Goodman, Bryce
, Flaxman, Seth
in
Algorithm
/ Algorithms
/ Artificial intelligence
/ Automation
/ Big Data
/ Compensation
/ Data integrity
/ Data mining
/ Data warehousing/data mining
/ Decision making
/ Discrimination
/ General Data Protection Regulation
/ Government regulation
/ International law
/ Law
/ Laws
/ Laws, regulations and rules
/ Machine learning
/ Neural networks
/ Personal information
/ Regulation
/ Social networks
2017
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European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
Journal Article
European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
2017
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Overview
We summarize the potential impact that the European Union's new General Data Protection Regulation will have on the routine use of machine‐learning algorithms. Slated to take effect as law across the European Union in 2018, it will place restrictions on automated individual decision making (that is, algorithms that make decisions based on user‐level predictors) that “significantly affect” users. When put into practice, the law may also effectively create a right to explanation, whereby a user can ask for an explanation of an algorithmic decision that significantly affects them. We argue that while this law may pose large challenges for industry, it highlights opportunities for computer scientists to take the lead in designing algorithms and evaluation frameworks that avoid discrimination and enable explanation.
Publisher
American Association for Artificial Intelligence,John Wiley & Sons, Inc
Subject
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