Chap3-Class4-AI Challenge & example

What are the possible reasons for getting 'dirty' data ?

• Part of the data is missing

• Users provide false data on purpose

• Different place/time format of the same data

• All are correct

What are the possible causes of AI biases ?

• Minority groups of input data

• Price discrimination based on gender

• IT proficiency skills in different age groups

• All are correct

Which types of data cannot be considered as your personal data?

• Search keyword history

• Academic records

• Durations of visiting a webpage

• Bus arrival schedule

Which one is not a malicious use of AI?

• Use deep-fake to generate a news article and post on WWW

• Hack a private network

• Provide tailored advertisements

• All are not malicious

What type of job is less likely to be replaced by AI?

• Bank Teller

• Car driver

• Data entry clerk

• All are very likely to be replaced

Which one is NOT a recent AI application?

• Chatbot

• NLP

• Translation

• All are recent applications