Topic 206: Machine Intelligence in Modern Society

A1–A2 Level

1. Where do people see smart machines in daily life?

2. How can machines help people at work or home?

3. What simple tasks can machines do faster than humans?

4. Why do people use phone assistants or smart apps?

5. How can machines help doctors or teachers?

6. What problems can happen if machines make mistakes?

7. How can smart tools save time for families?

8. Why do companies use machines to answer questions?

9. How can machines help people with disabilities?

10. What skills do people still need more than machines?

11. Why is human control important when using machines?

12. How can machines help with traffic or transport?

13. What happens when people trust machines too much?

14. How can learning new skills help people work with machines?

15. Why do some people worry about smart machines?

16. How do you feel when machines make decisions for people?

B1–B2 Level

17. How does machine intelligence change the way people work?

18. Why do businesses invest in smart systems?

19. How can machine tools improve public services?

20. What jobs are most affected by machine intelligence?

21. How can workers adapt to new machine-based systems?

22. What risks exist when machines collect personal data?

23. How can machine decisions be checked by humans?

24. Why is transparency important in machine systems?

25. How do smart machines affect education and learning?

26. Can machine intelligence increase inequality? How?

27. Why do people trust machine results in some areas?

28. How can laws guide the use of smart machines?

29. What role do humans play in training machines?

30. How can mistakes in machine systems cause harm?

31. Should machines replace people in dangerous jobs? Why?

32. How do you feel about working alongside smart machines?

C1–C2 Level

33. How does machine intelligence reshape social structures?

34. What ethical limits should guide machine decision-making?

35. How can bias enter machine systems during development?

36. Who should be responsible for machine-made errors?

37. How do smart systems challenge ideas of accountability?

38. Can machine intelligence influence political or social power? How?

39. How should data ownership be defined in machine systems?

40. What long-term effects might automation have on employment?

41. How can oversight reduce misuse of intelligent machines?

42. Should machines be allowed to make life-impacting choices? Why?

43. How do cultural values shape acceptance of machine intelligence?

44. Can global rules manage machine development fairly? How?

45. How might dependence on machines change human skills?

46. What balance is needed between efficiency and human judgment?

47. How can education prepare societies for machine integration?

48. How do you feel machine intelligence will shape social responsibility?