What does fairness in AI systems primarily aim to ensure?

Fairness in AI systems primarily aims to ensure equitable treatment and outcomes for all individuals, particularly in sensitive domains like healthcare and dentistry. This involves creating algorithms and models that do not discriminate based on race, gender, socio-economic status, or other attributes, thereby promoting justice and equality in decision-making processes.

In the context of dentistry, fairness is crucial when AI systems are used for diagnostic procedures, treatment recommendations, or patient outcomes, ensuring that all patients receive the same quality of care regardless of their background. By addressing biases in data and algorithms, designers and practitioners can work towards creating AI systems that reflect societal values of equality and non-discrimination.

Furthermore, while aspects like operational costs, data processing speed, and user engagement are important considerations in the development and implementation of AI technologies, they do not specifically address the ethical implications of how AI affects different groups within society. Thus, the focus on equitable treatment is fundamental to the ethical development and deployment of AI systems.