Everything InfoSec Ledger has reported about Machine Learning: 4 stories, newest first. Part of our AI coverage.
Meta’s engineering team details how two specific controls allow the company to use unused inference capacity for better ad targeting without impacting core performance.
Fine-tuning adapts a general model to your specific data, creating a specialized tool that outperforms generic prompts in narrow tasks.
Bias rarely originates in code logic. It accumulates silently through data selection and feedback loops that reinforce historical inequalities long before deployment.
Fraud detection models identify anomalies by mapping transaction patterns, yet they often flag legitimate behavior because they cannot distinguish intent from statistical deviation.