Fair Algorithmic Practices involve designing and continually evaluating algorithms to prevent biases and prioritize fairness. This entails ensuring that content curation, recommendation systems, and moderation do not systematically favor or discriminate against any group. By uncovering hidden biases and correcting them, platforms can deliver a more balanced and inclusive digital experience, thereby fostering trust and ethical engagement among users.