A company wants its AI systems to be fair and explainable and plans to require training for the development team. Which training topic directly addresses those goals?

The correct answer is Bias awareness and responsible AI practices because this training directly addresses the company's goals of fair and explainable AI systems. Understanding bias in data and models, and implementing responsible AI practices, is crucial for mitigating unfair outcomes and ensuring transparency in AI decision-making. Advanced coding techniques and advanced machine learning algorithms are technical skills that, while important for AI development, do not inherently guarantee fairness or explainability. Data privacy and encryption protocols are essential for data security but are distinct from the fairness and explainability aspects of AI system design and deployment.