Mitigating bias and ethical concerns with enterprise AI systems is crucial for successful and responsible implementation. It starts with a diverse and inclusive approach to data collection and model training to avoid perpetuating existing biases. AI algorithms must be designed to be fair, transparent, and accountable to ensure unbiased decision-making. Ongoing monitoring and evaluation are necessary to detect and rectify… Read more...