👉 The Bias Project is an initiative aimed at identifying and mitigating biases in data and algorithms that can affect decision-making processes, particularly in areas like facial recognition, hiring, and criminal justice. It involves researchers and developers collaborating to uncover how biases are embedded in datasets and models, often stemming from historical or societal prejudices. By systematically analyzing these biases, the project seeks to create more equitable and fair technologies that do not disproportionately disadvantage certain groups. This includes developing tools and methodologies to detect, measure, and reduce bias, ultimately aiming to foster more inclusive and just AI systems.
