AI Models That Enforce Fairness
Ensuring Fairness in AI ModelsAI models have the power to revolutionize industries and drive efficiencies, but they also have the potential to perpetuate bias and discrimination. Ensuring fairness in AI models is crucial to avoid harmful consequences and uphold ethical standards. One way to achieve this is by implementing fairness constraints during the model training process. By proactively addressing issues related to bias, AI models can be designed to make decisions that are more equitable and just.
It is essential to collect diverse and representative data to train AI models. Without a diverse dataset, AI models may learn to perpetuate existing biases or discriminate against certain groups. By including a wide range of examples from different demographics, AI models can learn to make ...







