Play for Real(ism): Using Games to Predict Human-AI interactions in the Real World

Abstract

The Problem. Time and again weve seen human's making poor choices while relying on (or ignoring) existing AI decision support systems. These failures have led several systems to be abandoned. Preliminary research indicates that a failure to communicate model output understandably may contribute to this problem, but it is currently unknown what the best practices in AI system design are that would alleviate it.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2020
Accession Number
AD1148551

Entities

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Best Practices
  • Copyrights
  • Decision Support Systems
  • Department Of Defense
  • Engineering
  • Experimental Design
  • Governments
  • Guarantees
  • Materials
  • Patents
  • Software Development
  • Standards
  • Universities

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Educational Psychology

Technology Areas

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