full transcript
"From the Ted Talk by Zeynep Tufekci: Machine intelligence makes human morals more important"

Unscramble the Blue Letters

Now, the upside is: this method is really powerful. The head of Google's AI systems called it, "the unreasonable eceenifetsvfs of data." The dsnoiwde is, we don't really understand what the system learned. In fact, that's its peowr. This is less like giving instructions to a computer; it's more like training a puppy-machine-creature we don't really unsaedntrd or control. So this is our problem. It's a problem when this artificial intelligence system gets things wrong. It's also a problem when it gets things right, because we don't even know which is which when it's a subjective problem. We don't know what this thing is thinking.

Open Cloze

Now, the upside is: this method is really powerful. The head of Google's AI systems called it, "the unreasonable _____________ of data." The ________ is, we don't really understand what the system learned. In fact, that's its _____. This is less like giving instructions to a computer; it's more like training a puppy-machine-creature we don't really __________ or control. So this is our problem. It's a problem when this artificial intelligence system gets things wrong. It's also a problem when it gets things right, because we don't even know which is which when it's a subjective problem. We don't know what this thing is thinking.

Solution

  1. effectiveness
  2. understand
  3. downside
  4. power

Original Text

Now, the upside is: this method is really powerful. The head of Google's AI systems called it, "the unreasonable effectiveness of data." The downside is, we don't really understand what the system learned. In fact, that's its power. This is less like giving instructions to a computer; it's more like training a puppy-machine-creature we don't really understand or control. So this is our problem. It's a problem when this artificial intelligence system gets things wrong. It's also a problem when it gets things right, because we don't even know which is which when it's a subjective problem. We don't know what this thing is thinking.

ngrams of length 2

collocation frequency
machine intelligence 4
machine learning 4
black box 4
computational systems 3
human affairs 3
predictive power 3
higher risk 3

Important Words

  1. ai
  2. artificial
  3. called
  4. control
  5. data
  6. downside
  7. effectiveness
  8. fact
  9. giving
  10. head
  11. instructions
  12. intelligence
  13. learned
  14. method
  15. power
  16. powerful
  17. problem
  18. subjective
  19. system
  20. systems
  21. thinking
  22. training
  23. understand
  24. unreasonable
  25. upside
  26. wrong