Summary

This document contains multiple choice questions about AI, including topics like machine learning, big data, data privacy, and more. The questions cover a range of concepts related to AI applications, with a focus on the practical aspects of the technology.

Full Transcript

**1. Which type of AI application is discussed in relation to policing?** **2. What does AUC (Area Under the Curve) represent in machine learning classification problems?** **3. According to the lecture, what is the binary classification problem in this application?** **4. What is the main goal o...

**1. Which type of AI application is discussed in relation to policing?** **2. What does AUC (Area Under the Curve) represent in machine learning classification problems?** **3. According to the lecture, what is the binary classification problem in this application?** **4. What is the main goal of an early intervention system (EIS) in policing?** **5. The lecture advocates for a user-centric approach in designing digital platforms, focusing on the needs of which group to ensure safety for all?** **6. Which approach to data de-identification involves irrevocably deleting personal information from datasets?** **7. Which regulatory framework is particularly focused on in the lecture concerning data privacy in the era of big data?** **8. Which technology has significantly improved the accessibility of legal information to the general public over recent years?** **9. Which United Nations\' definition did Katrina Denver reference during the discussion?** **10. What concern is raised in the lecture about the impact of personalized algorithms on user behavior?** **11. What is the primary focus of the concept of surveillance capitalism?** **12. How do web servers identify and personalize users\' experiences?** **13. In the old world shopping experience, what was the main constraint for shoppers and store owners?** **14. Which of the following is an example of soft fraud?** **15. What is the primary advantage of \"privileged learning\" in AI?** **16. What is the purpose of Explainable AI in Shift\'s fraud-detection algorithm?** **17. What is the main challenge faced by the insurance industry due to digitization?** **18. I was a good student and gave good feedback to my classmates.** **19. In the context of artificial intelligence, what does \"overfitting\" refer to?** **20. Which of the following is NOT one of the three V\'s of big data mentioned in the text?** **21. What is the primary advantage of using big data in the context of AI?** **22. What is the purpose of the Turing test in the context of AI?** **23. Which term describes the ability of an AI model to perform well on tasks that it has never encountered during training?** **24. In the context of AI, what is meant by \"general AI\"?** **25. What is the main goal of artificial intelligence (AI)?** **26. What is the main value of big data?** **27. What type of data is characterized by being collected in a non-standard way?** **28. What is the key difference between big data and classical data science?** **29. What is the distinguishing line between big data and alternative data?** **30. What are the three key characteristics of big data according to Doug Laney\'s three V\'s?** **31. Which skill set is essential for someone working with AI technologies in the age of big data?** **32. What technology does ShotSpotter use to detect shots fired?** **33. What was Ralph Clark\'s significant change to the ShotSpotter business model?** **34. How many 0s does a zettabyte have ?** **35. What technology allows us to access and interact with large amounts of data spread across various locations globally?** **36. Which class of artificial intelligence models is primarily responsible for generating deep fakes?** **37. What is the term used for a type of artificial intelligence technology that creates hyper-realistic images and videos of non-existent entities?** **38. What is the role of the "test" in AI training?** **39. What is the main challenge of working with big data?** **40. Which of the following is Not mentioned as a contributing factor to energy consumption in large models?** **41. Why are some large language models increasingly adopting smaller, more efficient architectures?** **42. What is a core feature of transformer models contributing to their effectiveness?** **43. What breakthrough did word embeddings like Word2Vec achieve?** **44. In the early wave of natural language processing, what was a significant limitation of statistical models?** **45. What kind of governance is suggested for implementing AI in public services?**

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