| > reboot it with a different set of facts Not just facts - the designers of the AI also choose the underlying assumption and models. Even the very idea of using an AI implies a certain set of biases and intentions. Characteristics that are truly common enough in humans that can safely be extracted as a factor are rare. Most of the time we try to compromise so we can call our differences "close enough". The process of finding and/or creating those compromises is what we call "politics", and while computers can certainly help as a tool, but the process needs human involvement by definition. Attempts to turn over any kind of political or social decision-making to an algorithm is simply a way to disguise the concentration of power. The algorithm's designers ultimately end up with the power, while others are denied power. The racist tactic known as "redlining"[1] is a pre-AI example. Black people aren't denied hosing directly, they simply "don't quality" for a loan, with the real reasons obscured behind a proprietary "credit worthiness" equation. [1] http://www.theatlantic.com/magazine/archive/2014/06/the-case... edit: Instead of using AI as a decision-maker, a place where AI (and other technology) might actually be useful is as the facilitator and/or part of the "panel of experts" used in Delphi methods[2]. While the people tend to jump on bandwagons and make stupid decisions when unorganized, we have a lot of examples where a general crowd of people make very good decisions when they are focused on a specific goal and have enough structure to allow for iterative refining of ideas. [2] https://en.wikipedia.org/wiki/Delphi_method |
A few of his comments that are relevant to the use of technology with politics and society:
The other parts of the interview are very interesting as well: [1] http://youarenotsosmart.com/transcripts/transcript-interview...