CAIT Quiz 2

What is one of the biggest challenges AI faces when working with data?

• Lack of electricity

• Poor data quality and availability

• Limited hardware storage

• Data security

How can AI systems become biased?

• By reflecting the biases in the data they are trained on

• By not using enough electricity

• By having faulty hardware

• By being too intelligent

Why is AI interpretability important?

• To make AI faster

• To reduce data usage

• So humans can understand how AI makes decisions

• To make AI less expensive

What ethical concern is raised when AI is used in surveillance?

• It creates more jobs

• It could violate people’s privacy

• It improves health outcomes

• It helps reduce internet traffic

What is an adversarial attack in AI?

• A way to make AI systems stronger

• A system to speed up AI learning

• A method used by hackers to trick AI systems

• A form of online communication

Why is bias in AI a problem?

• It leads to unfair or discriminatory outcomes

• It makes AI slower

• It helps improve AI's accuracy

• It saves energy

What is one way AI could impact jobs in the future?

• AI will eliminate all human jobs

• AI will only create jobs and not affect current ones

• AI will stop working if humans lose jobs

• AI could automate repetitive tasks, potentially leading to job loss in certain sectors

What is the term for when AI applies knowledge from one task to another?

• Generalization

• Specialization

• Overfitting

• Transfer learning

What challenge does AI face when it comes to energy consumption?

• AI doesn't use energy

• AI models can require a lot of computational power, increasing energy use

• AI requires less energy than humans

• AI only works with solar energy

Why is regulation important for AI development?

• To control how many AI systems can exist

• To stop AI from learning too fast

• To ensure AI is developed ethically and safely

• To make AI cheaper to build