Research may include essential topics such as

• algorithm bias and filter bubbles
• misinformation and content verification
• data brokerage
• unethical uses of AI (e.g., deepfakes, fake reviews).

Process/Skill Questions:

• What is the difference between something being illegal vs. unethical?
• What steps can digital marketers take to prevent fraud (e.g., fake reviews, impersonated accounts, misleading promotions)?
• How should a business differentiate between promotional communication and informational communication to avoid misleading customers?
• What are examples or case studies of unethical use of customer data?
• What are the environmental consequences of using AI?
• Where does bias in algorithms or AI come from?