AI Literacy Assessment

Who is considered the founding father of AI and coined the term 'Artificial Intelligence' and when did it start?

• Bill Gates in 1990

• John McCarthy in 1956

• Alan Turing in 1945

• Steve Jobs in 1976

What was the purpose of the Turing Test?

• To measure computer processing speed

• To evaluate a machine's ability to exhibit intelligent behavior indistinguishable from a human

• To test network security

• To calculate mathematical problems

What incorrect prediction did Geoffrey Hinton (AI Nobel Price winner) make about the future of radiologists in 2017?

• They would need more training

• They would all be replaced by AI within 5 years

• They would earn higher salaries

• They would need to learn programming

Why was Hinton's 2017 prediction about radiologists being replaced by AI incorrect?

• Hospitals banned the use of AI in radiology due to ethical concerns.

• AI systems in radiology have completely eliminated the need for human oversight.

• Radiologists refused to use AI, preventing its adoption in hospitals.

• AI augments rather than replaces radiologists, helping them to do a better job.

What is prompt engineering?

• Building physical AI systems

• The art of crafting effective inputs to get desired outputs from AI models

• Programming computer hardware

• Creating new programming languages

What is chain-of-thought prompting in AI and what is its purpose?

• A method for connecting multiple AI systems

• A technique where AI shows its reasoning process step by step to improve transparancy

• A way to train neural networks

• A programming language for AI

What defines a humanoid robot?

• Any robot with artificial intelligence

• A robot designed to resemble and mimic human form and behavior

• A robot that can speak

• A robot used in manufacturing

What is supervised learning in AI?

• Learning without labeled data

• Training an AI system using labeled data with known outcomes

• Random learning patterns

• Learning through trial and error

What is data anonymization in an AI context?

• Deleting all data

• Converting identifiable information into non-identifiable data while maintaining usefulness

• Encrypting files

• Backing up data

What is dirty data in the context of AI and machine learning

• Data that contains errors, inconsistencies, or missing values

• Data that has been collected from unethical sources

• Data that has been pre-processed and cleaned for training AI models

• Data that is encrypted and cannot be accessed by AI models