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  1. Home
  2. Hawaii International … Sciences (HICSS)
  3. Hawaii International … Sciences 2021
  4. Decision Analytics … Service Science
  5. Accountability, Evaluation, and Obscurity of AI Algorithms

Accountability, Evaluation, and Obscurity of AI Algorithms

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Recent Submissions

The Effect of Training Set Timeframe on the Future Performance of Machine Learning-based Malware Detection Models How Useful are Hand-crafted Data? Making Cases for Anomaly Detection Methods Bias in Geographic Information Systems: The Case of Google Maps An Adversarial Training Based Machine Learning Approach to Malware Classification under Adversarial Conditions Introduction to the Minitrack on Accountability, Evaluation, and Obscurity of AI Algorithms

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Author
    2 Steele, Robert1 Bastian, Nathaniel1 Devine, Sean1 Du, Len1 Galen, Colin1 Human, Soheil1 Hutter, Marcus1 Juric, Radmila1 Wagner, Ben1 Winkler, Till
Subject
    5 Accountability, Evaluation, and Obscurity of AI...2 machine learning1 accountability1 adversarial training1 ai system assurance1 anomaly detection1 artificial intelligence1 bias1 cybersecurity1 evaluation
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Date issued
    5 2021

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