Chapter 27
Ten Reasons Why AI Is Not a Panacea
IN THIS CHAPTER
Understanding how problem framing and data bias can affect results
Understanding why humans must be involved at the beginning, middle, and end of the process
Understanding why testing for bias, ambiguity, and gullibility is mandatory
Understanding why humans must anticipate unintended consequences
They say it’s a poor workman who blames his tools. After all, can humans really blame AI for doing what we built it to do? You should view this not as a list of faults but as a list of limitations.
They also say that a good workman uses the right tool for the job. There are some jobs that AI is not suited for. That’s why we still need humans.
Until the robot apocalypse, of course.
The future is already here — it’s just not very evenly distributed.
— WILLIAM GIBSON
AI Is Not Human
The world is experiencing an AI renaissance because the technological stars have aligned to give us the gift of practical AI. By the technological stars, of course I mean big data, low-cost storage for that data, advanced computing power, and ...
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