post / October 27, 2015

What NOT to think about the machines that think (or not to think at all really)

Notes on the book "What do you think about machines that think?"

I am half way through this very worthwhile book: "What do you think about machines that think?". 192 biggest thinkers from various fields all answer subj: question.

It's a great book. However, being a book about a murky subject, it is also a perfect showcase for the biases of human thinking. It really should come bundled with this other awesome free e-book: "Illustrated book of Bad Arguments". Cause it certainly is full of bias:

  • Argument from Consequences: machines can't think because it is dangerous.
  • Equivocation: how can machine think if thinking is such a big part of being spiritual.
  • False Dilemma: machines either need to think like we do or they can't think.
  • Appeal to Fear: thinking machines will spell the end of human species.
  • Appeal to Ignorance: it is impossible to imagine thinking machines, therefore it will not happen.
  • No True Scotsman: no truly ethical scientist will develop thinking machines.
  • Genetic Fallacy: of course they say machines can think; these come from crazy Silicon Valley place.
  • Guilt by Association: only socialists would want thinking machines.
  • Affirming the Consequent: dangerous things can come from technology, thinking machines are technology therefore they are dangerous.
  • Slippery Slope: first they think, then they kill us all.
  • Circular Reasoning: thinking machines can't happen because they can't think.
  • Composition and Division: machines consist of silicon, silicon is sand and it does not think, so machines can't think.

For me the bets one is from Freeman Dyson:

I do not believe that machines that think exist, or that they are likely to exist in the foreseeable future. If I am wrong, as I often am, any thoughts I might have about the question are irrelevant. If I am right, then the whole question is irrelevant.

Originally published on LinkedIn.