Fairness in AI can be achieved by implementing measures to prevent bias in data collection and algorithm development. Businesses should conduct regular audits to identify and rectify any biases in their AI systems. Additionally, involving a diverse team in the design and development phases can help identify potential biases early on. Using transparent algorithms and providing explanations for AI-driven decisions also contributes to fairness.