Description
Product Category: AI Assessments
Format: Word
AI Drift and Decay Assessment
The AI Drift and Decay Assessment evaluates the potential for model drift and performance decay in AI systems over time. This assessment identifies gaps in monitoring, detection, and remediation processes, ensuring that AI models remain accurate and effective in dynamic environments.
Model drift occurs when the statistical properties of input data change, leading to decreased model performance. Model decay refers to the gradual decline in model efficacy over time due to outdated training data or shifts in operational contexts.
Paid members of Kognition can download this assessment, as well as nearly 50 others. Please visit https://www.kognition.info/product-category/ai-assessments/ for the list of Assessments
