Overview Reinforcement Learning (RL) powers everything from trading bots and robotics to game-playing AIs and recommendation engines. But unlike supervised learning, RL depends on continuous feedback to shape behavior. This makes it uniquely vulnerable to data poisoning attacks that manipulate… Read More ›
data-science
Model Drift and Decay — The Hidden Threat of Aging AI Systems
Overview AI systems aren’t static. Over time, their performance degrades — not because the model changes, but because the world does. This phenomenon is known as model drift or model decay, and it’s one of the most overlooked risks in… Read More ›