geephroh + ml   38

Aequitas – Center for Data Science and Public Policy
An open source bias audit toolkit for machine learning developers, analysts, and policymakers to audit machine learning models for discrimination and bias, and make informed and equitable decisions around developing and deploying predictive risk-assessment tools.
bias  audit  discrimination  ai  ml  machinelearning  algorithms  ethics  uchicago  academic  research  publicpolicy  datascience  opensource 
9 weeks ago by geephroh
ALGORITHMIC IMPACT ASSESSMENTS: A PRACTICAL FRAMEWORK FOR PUBLIC AGENCY ACCOUNTABILITY, Dillon Reisman, Jason Schultz, Kate Crawford, Meredith Whittaker, APRIL 2018
"The Algorithmic Impact Assessment (AIA) framework proposed in this report is designed to support affected communities and stakeholders as they seek to assess the claims made about these systems, and to determine where – or if – their use is acceptable. "
ai  algorithms  ethics  governance  government  accountability  ml  machinelearning  automateddecisionsystems  bias 
july 2018 by geephroh
Sequence Modeling with CTC
Explanation of Connectionist Temporal Classification (CTC) strategy in sequence -related ml problems (i.e., asr, handwriting recognition) where there are input-output alignment issues
neuralnetworks  ml  machinelearning  asr  ocr  ai  nlp 
january 2018 by geephroh

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