Machine Learning Trusting the Future Human-AI Interaction
Trusting the future of human-AI interaction in machine learning is an important consideration as AI systems become more integrated into various aspects of our lives. Building trust in AI systems is crucial for their acceptance, effective collaboration, and responsible deployment. Here are some key aspects to consider for fostering trust in human-AI interaction: Trusting the […]
The importance of interpretability and explainability
Interpretability and explainability are crucial aspects of data science that play a significant role in building trust, understanding complex models, making informed decisions, and ensuring ethical considerations. Here are several key reasons why interpretability and explainability are important in data science: