AI-Enhanced Problem Solving: Important MCQs 1. What are the two main possibilities discussed for the origins of human mistakes? a) Poor problem-solving skills and overconfidence b) Badly designed environment and minds c) Lack of education and resources d) Miscommunication and external factors 2. What percentage of the time do we solve the wrong problem according to the presentation? a) 50% b) 60% c) 80% d) 90% 3. Which cognitive bias is associated with favoring evidence that confirms our beliefs? a) Overconfidence bias b) Confirmation bias c) Representation bias d) Availability bias 4. What is narrow framing in problem-solving? a) Considering all possible solutions b) Framing a problem to resemble a familiar one c) Avoiding biases in decision-making d) Expanding the problem's scope 5. What is the first step to mitigate unconscious biases? a) Ignore biases b) Make people aware of their biases through education c) Rely on intuition for decision-making d) Create bias-friendly environments 6. Which great minds are mentioned for studying the limits of human reason? a) Isaac Newton, Galileo, Albert Einstein b) Dan Kahneman, Amos Tversky, Herbert Simon c) Charles Darwin, Sigmund Freud, Noam Chomsky d) Stephen Hawking, Carl Sagan, Marie Curie 7. Which two approaches are suggested for mitigating biases? a) Modify the problem and the tools used b) Modify the decision maker and the environment c) Use AI and avoid narrow framing d) Increase awareness and practice mindfulness 8. How can AI help in formulating better questions? a) By providing direct answers b) By enhancing question velocity, variety, and novelty c) By avoiding biases completely d) By eliminating the need for questions 9. What is a catalytic question? a) A question that sparks change b) A question with a definitive answer c) A question based on prior knowledge d) A rhetorical question 10. Why is prompting considered crucial in working with AI? a) It reduces response time b) It helps frame unbiased and relevant solutions c) It eliminates all errors in AI responses d) It ensures AI works without human intervention 11. Which pitfall is associated with overestimating abilities and collecting insufficient data? a) Narrow framing b) Overconfidence bias c) Confirmation bias d) Availability bias 12. What was one example of framing bias mentioned in the context of COVID-19? a) Comparing COVID-19 to the seasonal flu b) Viewing it as an engineering problem c) Ignoring data from China d) Delaying vaccine development 13. How do Large Language Models (LLMs) assist with data analysis? a) By automating decision-making b) By collecting and cleansing data effectively c) By providing pre-built datasets d) By eliminating the need for human input 14. What are some risks associated with LLMs in problem-solving? a) They can confabulate and provide generic advice b) They are free of biases c) They always produce accurate outputs d) They require no human oversight 15. How does AI serve as a creative engine? a) By generating entirely novel ideas b) By connecting unexpected concepts c) By avoiding combinations of existing ideas d) By replacing creative professionals 16. What is recommended when asking AI to adopt a different perspective? a) Use the same chat for consistency b) Start a new chat with a different frame c) Provide detailed solutions upfront d) Avoid framing the situation 17. What was one historical example of viewing climate change through a limited frame? a) Treating it as an engineering problem b) Ignoring climate activists c) Blaming only corporations d) Solving it without scientific evidence 18. What is the significance of evidence in decision-making? a) It replaces human intuition b) It systematically informs problem formulation and solving c) It ensures biases are irrelevant d) It reduces complexity by eliminating choices 19. How can AI improve data collection processes? a) By identifying relevant variables and sampling approaches b) By analyzing all available data simultaneously c) By replacing manual data collection entirely d) By automating conclusions without evidence 20. What is the overall goal of AI in problem-solving? a) To eliminate all human input b) To enhance human reasoning and creativity c) To replace human decision-making d) To avoid mistakes completely
