### Q1: What is the basic concept of transfer learning and how can it save time in AI projects?  
### Q2: How can you fine-tune a pre-trained model for a specific task like sentiment analysis in customer reviews?  
### Q3: What challenges might arise when applying transfer learning to a highly specialized domain, and how can you address them?  
### Q4: How can ethical considerations in AI impact the development of algorithms used in hiring processes?  
### Q5: What measures can be taken to ensure that AI systems are free from bias during the development process?  
### Q6: How can developers assess the fairness of their AI models post-deployment?  
### Q7: In what specific ways can AI-driven chatbots improve customer service in a B2C context?  
### Q8: How can predictive analytics powered by AI help optimize marketing strategies in a retail business?  
### Q9: What are the potential implications of quantum computing on current AI applications in business?