AI 系统公平性：缓解语言视觉模型中的性别偏见（英文版）

英文标题：Fairness in AI Systems: Mitigating gender bias from language-vision models中文摘要：本研究尝试减轻语言视觉模型中的性别偏见问题，通过研究现有数据集中性别偏见的影响程度，并提出一种缓解方法。英文摘要：Our society is plagued by several biases, including racial biases, castebiases, and gender bias. As a matter of fact, several years ago, most of thesenotions were unheard of. These biases passed through generations along withamplification have lead to scenarios where these have taken the role ofexpected norms by certain groups in the society. One notable e