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Found 4 papers, 0 papers with code
On managing vulnerabilities in AI/ML systems
This paper explores how the current paradigm of vulnerability management might adapt to include machine learning systems through a thought experiment: what if flaws in machine learning (ML) were assigned Common Vulnerabilities and Exposures (CVE) identifiers (CVE-IDs)?
Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector
As a result, assumptions and even descriptive language used by practitioners from these different disciplines can exacerbate other challenges to integrating ML/AI components into larger systems.
Automatic Identification of Ineffective Online Student Questions in Computing Education
This study contributes to the automatic determination of learning question quality in computer science, and provides evidence for the feasibility of automated facilitation of online question & answer in large scale computer science classes.
Predicting Performance During Tutoring with Models of Recent Performance
In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not.
