Artificial Intelligence AI Ethics and Bias

Question 1

What is 'algorithmic bias' in AI systems?

Accepted Answer

Systematic errors in AI outputs that unfairly favor or disadvantage certain groups

Answer

Algorithmic bias occurs when AI systems produce systematically unfair outcomes, often reflecting biases present in training data.

Question 2

What does 'fairness' in AI typically require?

Accepted Answer

Equitable treatment and outcomes for individuals across demographic groups

Answer

AI fairness aims to ensure that model decisions do not systematically disadvantage individuals based on protected attributes.

Question 3

What is 'explainability' (or interpretability) in AI?

Accepted Answer

The degree to which humans can understand and trace how an AI makes decisions

Answer

Explainability refers to how transparently an AI system's reasoning can be understood by humans.

Question 4

What is 'data privacy' in the context of AI model training?

Accepted Answer

Ensuring that personal data used in training is handled, stored, and used in accordance with privacy laws

Answer

Data privacy in AI means protecting individuals' personal information used during model training from unauthorized access or misuse.

Question 5

What is the 'right to explanation' in AI regulation?

Accepted Answer

The right of individuals to receive a meaningful explanation of automated decisions affecting them

Answer

The right to explanation allows people affected by automated decisions to understand the reasoning behind them.

Artificial Intelligence Practice Test