Blog Posts
Software Engineering for Machine Learning: Characterizing and Detecting Mismatch in Machine-Learning Systems
This post describes how we are creating and assessing empirically validated practices to guide the development of machine-learning-enabled systems.
• By Grace Lewis, Ipek Ozkaya
In Artificial Intelligence Engineering
A Game to Assess Human Decision Making with AI Support
In decision-support systems based on AI, humans often make poor choices causing the systems to be abandoned. Rotem Guttman introduces a game that collects data on actual human decision making …
• By Rotem Guttman
In Artificial Intelligence Engineering
Managing the Risks of Adopting AI Engineering
Adopting artificial intelligence (AI) technology in an organization introduces significant change. The organization will likely incur risk. In this blog post, a summary of the SEI white paper, A Risk …
• By Brett Tucker
In Artificial Intelligence Engineering
Detecting Mismatches in Machine-Learning Systems
The use of machine learning (ML) could improve many business functions and meet many needs for organizations. For example, ML capabilities can be used to suggest products to users based …
• By Grace Lewis
In Artificial Intelligence Engineering
Three Risks in Building Machine Learning Systems
Machine learning (ML) systems promise disruptive capabilities in multiple industries. Building ML systems can be complicated and challenging....
• By Benjamin Cohen
In Artificial Intelligence Engineering
Automatically Detecting Technical Debt Discussions with Machine Learning
Technical debt (TD) refers to choices made during software development that achieve short-term goals at the expense of long-term quality....
• By Robert Nord
In Artificial Intelligence Engineering
Using Machine Learning to Detect Design Patterns
Software increasingly serves core DoD functions, such as ship and plane navigation, supply logistics, and real-time situational awareness....
• By Robert Nord, Zachary Kurtz
In Artificial Intelligence Engineering
Designing Trustworthy AI for Human-Machine Teaming
Artificially intelligent (AI) systems hold great promise to empower us with knowledge and enhance human effectiveness....
• By Carol Smith
In Artificial Intelligence Engineering
Summarizing and Searching Video with Machine Learning
The U.S. relies on surveillance video to determine when activities of interest occur in a location that is under surveillance....
• By Edwin Morris
In Artificial Intelligence Engineering
Data-Driven Management of Technical Debt
Technical debt communicates the tradeoff between the short-term benefits of rapid delivery and the long-term value of developing a software system that is easy to evolve, modify, repair, and sustain. …
• By Ipek Ozkaya
In Artificial Intelligence Engineering