Leveraging Adversarial Machine Learning Techniques to Perform Query Access Fairness Evaluations

Abstract

DoD hiring teams are overwhelmed by scale and need unbiased automation to manage the worlds largest workforce. Machine learning (ML) models applied to workforce management tasks are increasingly finetuned from large public models. We need to understand bias transfer from large public models.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2023
Accession Number
AD1225124

Entities

People

  • Anusha Sinha

Organizations

  • Carnegie Mellon University

Tags

Fields of Study

  • Computer science

Readers

  • Defense Technology Research and Development.
  • Parallel and Distributed Computing.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks