As machine learning models become more pervasive in decision-making processes, ethical considerations have taken center stage. How do we ensure that these models are designed and implemented without perpetuating biases? What are some best practices you've encountered or adopted to promote fairness and transparency in machine learning? Share your insights and any experiences in navigating these ethical challenges.