Accession Number:

AD1085207

Title:

Priority Quality Attributes for Engineering AI-enabled Systems

Descriptive Note:

[Technical Report, Briefing Charts]

Corporate Author:

Carnegie Mellon University Software Engineering Institute

Personal Author(s):

• Pons, Lena
• Ozkaya, Ipek

Report Date:

2019-11-26

Pagination or Media Count:

15

Abstract:

AI systems are built of software. Engineering an AI-enabled system poses some challenges that are distinct from conventional software. AI-enabled systems are not a monolith - e.g. neural network methods vs. regression based methods. The interaction between software and data touches all of the challenges and architecture considerations we will discuss. We need new methods and architecture solutions to design AI-enabled systems that can be confidently deployed in public sector context.

Descriptors:

Subject Categories:

• Cybernetics
• Computer Systems

Distribution Statement:

[A, Approved For Public Release]