AI's Mirror: Reflecting and Amplifying Bias
The Invisible Hand of Bias: How Reinforcement Learning Amplifies Our Flaws Reinforcement learning (RL) is revolutionizing technology. From self-driving cars to personalized medicine, algorithms trained through RL are making decisions that impact our lives in profound ways. But there's a hidden danger lurking beneath this exciting progress: bias. Just like any human creation, RL algorithms learn from the data they are fed. And if that data reflects existing societal biases, the resulting AI will inevitably perpetuate those same inequalities. This can lead to discriminatory outcomes, reinforcing harmful stereotypes and widening the gap between different groups. Unmasking the Bias: Bias in RL manifests in subtle but damaging ways: Data Selection: The very datasets used to train RL models often suffer from...