full transcript

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

Unscramble the Blue Letters

This can’t last. McKinsey emeistats that between half a billion and a billion of us are going to have to apdat to AI in our daily work by 2030. And we’re assuming that on-the-job learning will be there for us as we try. Accenture’s laestt workers sruvey showed that most workers learned key skills on the job, not in formal training. So while we talk a lot about its poainettl future impact, the aspect of AI that may matter most right now is that we’re handling it in a way that blocks learning on the job just when we need it most.

Open Cloze

This can’t last. McKinsey _________ that between half a billion and a billion of us are going to have to _____ to AI in our daily work by 2030. And we’re assuming that on-the-job learning will be there for us as we try. Accenture’s ______ workers ______ showed that most workers learned key skills on the job, not in formal training. So while we talk a lot about its _________ future impact, the aspect of AI that may matter most right now is that we’re handling it in a way that blocks learning on the job just when we need it most.

Solution

  1. latest
  2. adapt
  3. potential
  4. estimates
  5. survey

Original Text

This can’t last. McKinsey estimates that between half a billion and a billion of us are going to have to adapt to AI in our daily work by 2030. And we’re assuming that on-the-job learning will be there for us as we try. Accenture’s latest workers survey showed that most workers learned key skills on the job, not in formal training. So while we talk a lot about its potential future impact, the aspect of AI that may matter most right now is that we’re handling it in a way that blocks learning on the job just when we need it most.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
prostate patient 2
online education 2
formal training 2

Important Words

  1. adapt
  2. ai
  3. aspect
  4. assuming
  5. billion
  6. blocks
  7. daily
  8. estimates
  9. formal
  10. future
  11. handling
  12. impact
  13. job
  14. key
  15. latest
  16. learned
  17. learning
  18. lot
  19. matter
  20. mckinsey
  21. potential
  22. showed
  23. skills
  24. survey
  25. talk
  26. training
  27. work
  28. workers