full transcript

From the Ted Talk by Madison Mohns: AI and the paradox of self-replacing workers

Unscramble the Blue Letters


ltlasy, we must rsleikl in order to avoid replacement. knignwloy investing in the professional dmoevpenlet and well-being of our workforce ensures that they are equipped with the skills and knowledge needed to thrive in an AI-powered future. By providing opportunities for uinkillspg and reskilling, we can ewmepor our eyelpomes to rethink their roles as they exist today and carve out new possibilities that align with their evolving eisexrpte and interests.

So how does this work in practice? When I started introducing AI as a way to accelerate my team's workflows, I used it as an oritupotpny to improve my team's technical lrceiaty. I worked with my team of engineers on a tool that could transparently identify the impact of data on a model's outcomes. I then went to my operations analyst, who didn't have technical training at the time, and they were able to quickly itdfieny areas where the model was underperforming and hand off direct suggestions to my data sneccie team to make those models do better next time. Fostering a culture of continuous learning and reskilling is paramount. It makes AI transformation a lot more exciting and a lot less scary.

Open Cloze


______, we must _______ in order to avoid replacement. _________ investing in the professional ___________ and well-being of our workforce ensures that they are equipped with the skills and knowledge needed to thrive in an AI-powered future. By providing opportunities for __________ and reskilling, we can _______ our _________ to rethink their roles as they exist today and carve out new possibilities that align with their evolving _________ and interests.

So how does this work in practice? When I started introducing AI as a way to accelerate my team's workflows, I used it as an ___________ to improve my team's technical ________. I worked with my team of engineers on a tool that could transparently identify the impact of data on a model's outcomes. I then went to my operations analyst, who didn't have technical training at the time, and they were able to quickly ________ areas where the model was underperforming and hand off direct suggestions to my data _______ team to make those models do better next time. Fostering a culture of continuous learning and reskilling is paramount. It makes AI transformation a lot more exciting and a lot less scary.

Solution


  1. knowingly
  2. employees
  3. science
  4. literacy
  5. empower
  6. opportunity
  7. reskill
  8. development
  9. lastly
  10. identify
  11. expertise
  12. upskilling

Original Text


Lastly, we must reskill in order to avoid replacement. Knowingly investing in the professional development and well-being of our workforce ensures that they are equipped with the skills and knowledge needed to thrive in an AI-powered future. By providing opportunities for upskilling and reskilling, we can empower our employees to rethink their roles as they exist today and carve out new possibilities that align with their evolving expertise and interests.

So how does this work in practice? When I started introducing AI as a way to accelerate my team's workflows, I used it as an opportunity to improve my team's technical literacy. I worked with my team of engineers on a tool that could transparently identify the impact of data on a model's outcomes. I then went to my operations analyst, who didn't have technical training at the time, and they were able to quickly identify areas where the model was underperforming and hand off direct suggestions to my data science team to make those models do better next time. Fostering a culture of continuous learning and reskilling is paramount. It makes AI transformation a lot more exciting and a lot less scary.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
subject matter 3
rapid development 2
ethical principles 2
tasks impacted 2
immense amount 2
ai transformation 2
identify areas 2
matter experts 2
professional development 2
introducing ai 2

ngrams of length 3

collocation frequency
subject matter experts 2

Important Words


  1. accelerate
  2. ai
  3. align
  4. analyst
  5. areas
  6. avoid
  7. carve
  8. continuous
  9. culture
  10. data
  11. development
  12. direct
  13. employees
  14. empower
  15. engineers
  16. ensures
  17. equipped
  18. evolving
  19. exciting
  20. exist
  21. expertise
  22. fostering
  23. future
  24. hand
  25. identify
  26. impact
  27. improve
  28. interests
  29. introducing
  30. investing
  31. knowingly
  32. knowledge
  33. lastly
  34. learning
  35. literacy
  36. lot
  37. model
  38. models
  39. needed
  40. operations
  41. opportunities
  42. opportunity
  43. order
  44. outcomes
  45. paramount
  46. possibilities
  47. practice
  48. professional
  49. providing
  50. quickly
  51. replacement
  52. reskill
  53. reskilling
  54. rethink
  55. roles
  56. scary
  57. science
  58. skills
  59. started
  60. suggestions
  61. team
  62. technical
  63. thrive
  64. time
  65. today
  66. tool
  67. training
  68. transformation
  69. transparently
  70. underperforming
  71. upskilling
  72. work
  73. worked
  74. workflows
  75. workforce