full transcript

From the Ted Talk by Matt Beane: How do we learn to work with intelligent machines?

Unscramble the Blue Letters


Here’s one clear example I could get of this on the ground. Before robots, if you were a bomb disposal technician, you dealt with an IED by walking up to it. A jinuor officer was hdeurnds of feet away, so could only watch and help if you dcedeid it was safe and invited them downrange. Now you sit side-by-side in a bomb-proof truck. You both watched the video feed. They control a dsnitat robot, and you guide the work out loud. Trainees laern better than they did before robots. We can slcae this to surgery, start-ups, pniilcog, investment banking, online education and beyond. The good news is we’ve got new tools to do it. The ienretnt and the cloud mean we don’t always need one epxert for every trainee, for them to be physically near each other or even to be in the same organization. And we can build AI to help: to coach learners as they struggle, to coach experts as they coach and to connect those two groups in smart ways.

Open Cloze


Here’s one clear example I could get of this on the ground. Before robots, if you were a bomb disposal technician, you dealt with an IED by walking up to it. A ______ officer was ________ of feet away, so could only watch and help if you _______ it was safe and invited them downrange. Now you sit side-by-side in a bomb-proof truck. You both watched the video feed. They control a _______ robot, and you guide the work out loud. Trainees _____ better than they did before robots. We can _____ this to surgery, start-ups, ________, investment banking, online education and beyond. The good news is we’ve got new tools to do it. The ________ and the cloud mean we don’t always need one ______ for every trainee, for them to be physically near each other or even to be in the same organization. And we can build AI to help: to coach learners as they struggle, to coach experts as they coach and to connect those two groups in smart ways.

Solution


  1. learn
  2. junior
  3. scale
  4. decided
  5. expert
  6. hundreds
  7. distant
  8. policing
  9. internet

Original Text


Here’s one clear example I could get of this on the ground. Before robots, if you were a bomb disposal technician, you dealt with an IED by walking up to it. A junior officer was hundreds of feet away, so could only watch and help if you decided it was safe and invited them downrange. Now you sit side-by-side in a bomb-proof truck. You both watched the video feed. They control a distant robot, and you guide the work out loud. Trainees learn better than they did before robots. We can scale this to surgery, start-ups, policing, investment banking, online education and beyond. The good news is we’ve got new tools to do it. The internet and the cloud mean we don’t always need one expert for every trainee, for them to be physically near each other or even to be in the same organization. And we can build AI to help: to coach learners as they struggle, to coach experts as they coach and to connect those two groups in smart ways.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
prostate patient 2
online education 2
formal training 2


Important Words


  1. ai
  2. banking
  3. bomb
  4. build
  5. clear
  6. cloud
  7. coach
  8. connect
  9. control
  10. dealt
  11. decided
  12. disposal
  13. distant
  14. downrange
  15. education
  16. expert
  17. experts
  18. feed
  19. feet
  20. good
  21. ground
  22. groups
  23. guide
  24. hundreds
  25. ied
  26. internet
  27. investment
  28. invited
  29. junior
  30. learn
  31. learners
  32. loud
  33. news
  34. officer
  35. online
  36. organization
  37. physically
  38. policing
  39. robot
  40. robots
  41. safe
  42. scale
  43. sit
  44. smart
  45. struggle
  46. surgery
  47. technician
  48. tools
  49. trainee
  50. trainees
  51. truck
  52. video
  53. walking
  54. watch
  55. watched
  56. ways
  57. work