Data science
fromComputerworld
1 week agoAI project 'failure' has little to do with AI
The reliability of genAI is compromised by various factors, necessitating independent verification of its outputs.
Google will begin to highlight data quality account issues related to Vehicle ads within Google Merchant Center starting in mid-April 2026. This initiative aims to ensure compliance with Google's Vehicle ads data quality requirements by evaluating both submitted vehicle data and the associated website content for every vehicle uploaded.
SHAP for feature attribution SHAP quantifies each feature's contribution to a model prediction, enabling: LIME for local interpretability LIME builds simple local models around a prediction to show how small changes influence outcomes. It answers questions like: "Would correcting age change the anomaly score?" "Would adjusting the ZIP code affect classification?" Explainability makes AI-based data remediation acceptable in regulated industries.
To find the typical example, just observe an average stand-up meeting. The ones who talk more get all the attention. In her article, software engineer Priyanka Jain tells the story of two colleagues assigned the same task. One posted updates, asked questions, and collaborated loudly. The other stayed silent and shipped clean code. Both delivered. Yet only one was praised as a "great team player."