Equity in AI Systems refers to the fair and impartial treatment of all individuals by artificial intelligence technologies, ensuring that biases and disparities are minimized or eliminated. Achieving equity involves addressing data biases, fostering inclusivity in AI design, and implementing robust evaluation frameworks to ensure AI systems serve all demographic groups equitably.