Crash Course-AI#18

What is the main difference between bias and discrimination?

• Bias is always negative, while discrimination is always positive.

• Bias and discrimination are the same.

• Bias is a natural tendency, while discrimination is unfair treatment.

• Bias is a legal term, while discrimination is not.

Why might an AI trained on recent news articles show a bias towards associating 'nurse' with women?

• Because there are no male nurses.

• Because AI cannot process gender information.

• Because the training data reflects societal biases.

• Because nurses are only women in the news.

What is a positive feedback loop in the context of algorithmic bias?

• A loop that only uses new data.

• A loop that amplifies past data, regardless of its nature.

• A loop that always produces positive outcomes.

• A loop that corrects past mistakes.

How can transparency in algorithms help reduce bias?

• By hiding the algorithm's processes.

• By allowing examination of inputs and outputs.

• By making the algorithm more complex.

• By reducing the amount of training data.

Why might people from protected classes be hesitant to provide personal information for AI training?

• They do not understand AI.

• They fear privacy violations and misuse of data.

• They do not use technology.

• They believe AI is always fair.