Confronting Implicit Bias in AI Environments

Implicit bias in recruitment, promotion, and project funding decisions significantly hinders the progress of female leaders in ethical AI. Training programs aimed at identifying and addressing these biases, along with transparent decision-making processes, can create fairer opportunities for women. Additionally, embedding ethical considerations into AI systems themselves can also reflect a more inclusive approach to technology development.