Artificial Intelligence Literacy and Bias Quiz

What is AI literacy?

• Knowledge and skills to critically understand, evaluate, and use AI systems safely and ethically

• The ability to write AI code

• Understanding the history of AI

• The ability to create AI models

What does AI literacy encompass beyond technical knowledge?

• The ability to design AI hardware

• The ability to navigate an AI-driven world confidently and responsibly

• The ability to write AI research papers

• The ability to debug AI software

What is bias in the context of AI?

• The ability to make AI systems faster

• The potential for automated systems to produce skewed, prejudiced, and/or unfair results

• The ability to make AI systems more accurate

• The ability to reduce the size of AI models

What can cause bias in AI systems?

• Large datasets

• Advanced algorithms

• High computational power

• Problematic data and/or design

Why is AI literacy important?

• To create more AI jobs

• To ensure individuals can use AI systems in a safe and ethical manner

• To increase the speed of AI development

• To reduce the cost of AI systems

How can AI bias be mitigated?

• By using larger datasets

• By ensuring diverse and representative data

• By increasing computational power

• By using more complex algorithms

What is the role of transparency in AI systems?

• To make AI systems faster

• To reduce the cost of AI development

• To ensure users understand how decisions are made

• To increase the size of datasets

What is an example of AI literacy in practice?

• Writing code for AI models

• Understanding the ethical implications of AI decisions

• Designing AI hardware

• Increasing the speed of AI algorithms