AI Literacy Assessment

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

• Alan Turing in 1945

• John McCarthy in 1956

• Marvin Minsky in 1972

• Claude Shannon in 1960

What was the purpose of the Turing Test?

• To measure the efficiency of algorithms

• To evaluate if a machine can mimic human intelligence convincingly

• To test robot agility

• To determine programming complexity

What incorrect prediction did Geoffrey Hinton make about the future of radiologists in 2017?

• Radiologists would require advanced programming skills

• Radiologists would disappear within five years

• Radiologists would become the highest-paid medical professionals

• Radiologists would switch careers due to lack of interest

Why was Hinton's 2017 prediction about radiologists incorrect?

• Radiologists strongly resisted AI integration

• AI fully replaced administrative staff instead

• AI has enhanced radiologists' effectiveness rather than replacing them

• Medical schools stopped training radiologists entirely

What is prompt engineering?

• Designing the physical structure of robots

• Writing effective input prompts to control AI results

• Optimizing software for faster processing

• Establishing secure data networks for AI

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

• Linking different AI models in sequence

• Showing an AI model's reasoning steps to clarify its logic

• Improving computer processing speed

• Programming robots to interact socially

What defines a humanoid robot?

• A robot equipped with artificial intelligence

• A robot built to resemble human appearance and actions

• A robot specifically used for industrial purposes

• Any robot capable of speaking languages

What is supervised learning in AI?

• Training AI without labeled examples

• Teaching AI by providing labeled examples and known outcomes

• Allowing AI to explore and optimize randomly without guidance

• Learning AI tasks purely through simulations

What is data anonymization in an AI context?

• Completely deleting collected data

• Modifying data to protect identities while retaining usefulness

• Storing data securely offline

• Copying data into backup servers regularly

What is dirty data in AI and machine learning?

• Data containing errors, inaccuracies, or missing values

• Data illegally obtained for training AI

• Data that has been encrypted

• Data verified and cleaned for accuracy