### Q1: What are some key principles of ethics in generative AI that can be summarized for quick understanding?  
### Q2: How can we recognize and address bias in generative AI models effectively?  
### Q3: What are the most significant ethical challenges faced when implementing generative AI in businesses?  
### Q4: How can a low-code approach facilitate the development of generative AI applications while ensuring ethical considerations?  
### Q5: What are the business applications of hands-on coding in improving transparency and accountability in generative AI?  
### Q6: In what ways can a mixed approach to coding enhance the recognition and mitigation of bias in generative AI?  
### Q7: How can effective communication skills assist teams in discussing ethical issues related to generative AI?  
### Q8: What strategies can be employed to communicate the importance of fairness and accountability in generative AI to stakeholders?  
### Q9: How can professionals improve their communication skills to better address the challenges of implementing ethical practices in generative AI?