服務品質跨群體差異

Risk Description

AI systems provide differentiated service quality across user groups, requiring certain groups to expend more effort for equivalent service. For example, speech recognition with lower accuracy for certain accents requiring repeated attempts; recommendation systems providing fewer and lower-quality options for minority groups. Such disparities are often hard to detect as they do not involve explicit service denial.