Ethics and Trust for Emerging Technologies

Abstract

Emerging technology. Great potential develop with caution. Ethics: Based on well-founded standards of right and wrong. Standard of expected behavior that guides the correct course of action. What impact does my work have? To be biased, is to be human: Bias are shortcuts, to avoid risk and simplify problems. Not inherently bad, may be misapplied. Implicit = invisible. Not necessarily in sync with our conscious beliefs. Can be managed and changed. All systems have some form of bias: Data is collected/curated, by humans, for a purpose. Complete objectivity is misleading. Bias can have purpose and can be helpful. Our Goal: Reduce unintended and/or harmful bias

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2023
Accession Number
AD1200713

Entities

People

  • Carol J. Smith

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Systems Engineering
  • Commerce
  • Computers
  • Copyrights
  • Data Rights
  • Department Of Defense
  • Emerging Technology
  • Engineering
  • Governments
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Human-Machine Systems
  • Image Recognition
  • Materials
  • Software Development
  • Standards
  • Universities

Readers

  • Educational Psychology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.