Bias and fairness in artificial intelligence and machine learning refer to the challenge of ensuring that models make decisions without prejudice and treat all individuals and groups equitably. Addressing these issues is crucial for preventing discrimination and ensuring ethical use of technology, requiring rigorous evaluation and mitigation strategies throughout the model development process.