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Accession Number:

AD1155005

Title:

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

Author(s):

• Van Deusen, Alex
• Dzombak, Rachel

Author Organization(s):

• CARNEGIE-MELLON UNIV PITTSBURGH PA

Report Date:

2021-12-13

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.

Document Type:

Conference:

Journal:

Pages:

33

File Size:

1.08MB

Contracts:

Grants:

Descriptors:

• artificial intelligence
• department of defense
• human-machine systems
• cognitive systems engineering
• engineering
• human-computer interaction
• software development
• lessons learned
• standards
• best practices
• deployment
• emerging technology
• universities
• security
• thinking
• algorithms

Identifiers:

• technical ethics
• human-centered AI systems

SubjectCategory:

• Mathematical and Computer Sciences

Communities of Interest:

• Human Systems

Distribution Statement:

Approved For Public Release

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