Machine Learning algorithms can develop biases based on their training data. A system trained on past loan approvals may learn to perpetuate historical biases, despite having no explicitly programmed prejudice. This phenomenon highlights the importance of ethical AI and the careful curation of datasets. It reminds us that ML models are not just mathematical constructs but reflections of our society's complexity. What's an insightful observation about ML you've encountered? Share your thoughts and let's learn together!