// TAG: FAIRNESS

Explore the critical concepts of bias and fairness in face biometrics, understand their sources, and learn about practical mitigation strategies to …

Explore the critical ethical implications, privacy concerns, and responsible AI principles when developing with face biometrics using the UniFace …

An introduction to ethical considerations in AI, focusing on bias, fairness, transparency, and accountability.

An introduction to AI ethics, exploring fairness, safety, transparency, and respect for human values in AI development and usage.

Explore ethical considerations and responsible AI practices in the post-training phase of Large Language Models.