Algorithmic Bias: Detection, Mitigation, and Best Practices

In the age of Artificial Intelligence (AI) and machine learning, algorithmic bias has emerged as a significant concern, reflecting and potentially amplifying societal inequalities through technology. Bias in algorithms can lead to unfair outcomes, ranging from job advertisement targeting to loan approval processes. Understanding how to detect, mitigate, and establish best practices for handling algorithmic bias is crucial for developers, policymakers, and users alike to ensure equitable and just use of AI technologies.