### Q1: What are the basic moral principles that guide the design and development of AI systems?  
### Q2: How can you identify and mitigate biases in AI algorithms to ensure fairness in automated decision-making?  
### Q3: In what ways can organizations implement checks to prevent biased outcomes in AI systems?  
### Q4: Why is it important for consumers to trust AI systems, and how can responsible AI development foster this trust?  
### Q5: What legal repercussions might organizations face if they do not adhere to ethical guidelines in AI development?  
### Q6: How can prioritizing ethical AI development distinguish a company in a competitive marketplace?  
### Q7: What are the ethical implications of using facial recognition technology without public consent?  
### Q8: How can predictive policing algorithms perpetuate racial biases, and what measures can be taken to address this issue?  
### Q9: Why is transparency essential in the AI hiring process, and how can it protect candidates' rights?