Neutrality in AI - Deepstash
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Neutrality in AI

Neutrality in AI

True neutrality in language and image data is impossible.

If our text and image libraries are formed by and document sexism, systemic racism and violence, how can we expect to find neutrality in this data? We can’t.

If we use models that learn from Reddit with no assumed model, then our assumptions will come from Reddit.

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Modeling & AI

Mathematical modelling consists of 3 components:

  1. Assumptions: These are taken from our experience and intuition to be the basis of our thinking about a problem.
  2. Model: This is the representation of our assumptions in a way that we can reason (i...

19

173 reads

The limits of AlphaGo or GPT-3

Although AI researchers can train systems to win at Space Invaders, it couldn’t play games like Montezuma Revenge where rewards could only be collected after completing a series of actions (for example, climb down ladder, get down rope, get down another ladder, jump over skull and climb up a ...

18

289 reads

CURATED FROM

CURATED BY

vladimir

Life-long learner. Passionate about leadership, entrepreneurship, philosophy, Buddhism & SF. Founder @deepstash.

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Modeling & AI

Mathematical modelling consists of 3 components:

  1. Assumptions: These are taken from our experience and intuition to be the basis of our thinking about a problem.
  2. Model: This is the representation of our assumptions in a way that we can reason (i...

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