Fairness in AI

Improving fairness in AI requires a deep understanding of how fairness is defined, as it can vary across contexts and cultures. Engaging with those affected by AI systems is crucial for ensuring that assumptions about fairness reflect real-world experiences. It's essential to move beyond theoretical models and consider the lived realities of individuals impacted by technology.