Artificial Intelligence Bias

Artificial intelligence (AI) bias refers to systematic and repeatable errors in AI systems that produce unfair or discriminatory outcomes, often reflecting biases present in the data used to train them. Current research focuses on identifying and mitigating these biases across various AI applications, including healthcare, finance, and criminal justice, exploring techniques like fairness-aware algorithms and bias detection methods. Understanding and addressing AI bias is crucial for ensuring equitable and trustworthy AI systems, impacting both the development of responsible AI practices and the fairness of AI-driven decision-making in numerous societal contexts.