eYLS (Yale Law School) · 2019 · 88 citations · 0 references
Open access
ComputingComputer SciencePolitical ScienceAutomationDecision TheoryMachine LearningAlgorithmic FairnessBounded RationalityData-driven Decision MakingDemocracyEthics Of Automated Decision-makingPhilosophy Of Artificial IntelligenceAccountability Of Algorithmic SystemsAlgorithmic AccountabilityBias In Algorithmic SystemsBig Data EthicsDue Process CritiqueGovernance Of AlgorithmsHuman-in-the-loop Decision MakingNeoliberal Discourse
Automated decision-making systems based on “big data”–powered algorithms and machine learning are just as prone to mistakes, biases, and arbitrariness as their human counterparts. The result is a technologically driven decision-making process that seems to defy interrogation, analysis, and accountability and, therefore, undermines due process.