AI bias: Why it happens and how companies can address it

information age | Sep 15, 2020 at 4:54 PM
  • The old saying ‘you get out what you put in’ certainly applies when training an artificial intelligence (AI) algorithm.
  • Equally, a larger and more diverse data set helps to produce more precise and more efficient AI algorithms capable of making smarter decisions.
  • The best policy is to source training data from a pool that provides quantity, quality and diversity.