Avoiding Bias in Algorithmic Decision-Making

Diversity's Impact on AI and ML Privacy: Diverse perspectives in the design and development stages of AI systems are crucial for identifying and mitigating potential biases that can compromise privacy. A homogeneous team might overlook or underestimate privacy concerns specific to certain communities, leading to skewed algorithmic outcomes with serious implications for individual privacy rights.