Description: Tactical equity refers to a systematic approach to ensuring that artificial intelligence (AI) systems operate fairly and equitably, especially in decision-making processes that can affect individuals or groups. This concept focuses on identifying and mitigating specific biases that may arise in AI algorithms, ensuring that decisions do not unjustly favor one group over another. Tactical equity involves the implementation of strategies and techniques that allow developers and organizations to evaluate and adjust their AI models to be more inclusive and representative. This is crucial in a world where AI applications are increasingly integrated into various critical processes such as hiring, law enforcement, and healthcare. Tactical equity not only seeks to correct existing inequalities but also to prevent the perpetuation of historical biases that can be amplified by technology. By proactively addressing these issues, the aim is to build AI systems that are not only efficient but also ethically responsible and socially just, thereby promoting trust in technology and its acceptance by society.
