Human Centered AI: Key Considerations for Adopting AI Systems in Workflows

Abstract

Why AI engineering? Organizations realize that AI hold great promise and power. It is hard to get AI right. Many organizations arent prepared and dont have the needed expertise. We are part of CMU a world leader in AI. Most work is a race to AI capability. Human-Centered AI Designed with the goal of working with, and for, people.

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Document Details

Document Type
Technical Report
Publication Date
Dec 13, 2021
Accession Number
AD1155005

Entities

People

  • Alex Van Deusen
  • Rachel Dzombak

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Agreements
  • Algorithms
  • Artificial Intelligence
  • Best Practices
  • Cognitive Systems Engineering
  • Computers
  • Computing-Related Activities
  • Department Of Defense
  • Deployment
  • Emerging Technology
  • Engineering
  • Environment
  • Human-Computer Interaction
  • Human-Machine Systems
  • Inspection
  • Interdisciplinary Science
  • Lessons Learned
  • Motivation
  • Security
  • Software Development
  • Standards
  • Systems Engineering
  • Systems Science
  • Thinking
  • Transparencies
  • Universities

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Educational Psychology
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy