What happens when artificial intelligence gets it wrong? In this engaging Algorithmic Bias in Forensic Science case study, students examine how AI-powered forensic tools can unintentionally reinforce bias and lead investigators in the wrong direction. Through a realistic, fictional scenario, students analyze evidence, question AI-generated probability scores, and evaluate the ethical and legal implications of using algorithms in criminal investigations. This resource challenges students to thin