Navigating AI Ethics and Model Challenges

This chapter addresses the critical importance of artificial intelligence and federated learning in the healthcare sector, particularly in light of the COVID-19 pandemic. It delves into the complexities of deploying machine learning models, focusing on challenges such as bias, feature drift, and the necessity for transparent communication in AI ethics. The discussion emphasizes the ongoing struggle to manage unconscious biases within AI, especially in hiring practices, and highlights the strides being made to hold companies accountable for ethical AI use.