Non Discrimination

Non-discrimination in artificial intelligence focuses on mitigating bias and ensuring fairness in algorithmic systems, particularly concerning legally protected groups. Current research emphasizes developing methods to detect and correct biases in various AI models, including generative language models and those used in person re-identification, often employing multi-objective optimization or fairness metrics like demographic parity. This work is crucial for aligning AI applications with existing non-discrimination laws and preventing the creation of new forms of algorithmic inequality, impacting both legal frameworks and the ethical development of AI technologies.