Biases are an incurable symptom of the human decision-making process. We make assumptions, judgements and decisions on imperfect information as our brains are wired to take the path of least resistance and draw quick conclusions which affect us socially as well as financially.

The inherent human “negative bias” is a byproduct of our evolution. In order to survive it is of primal importance to be able to quickly assess the danger posed by a situation, an animal or another human.

However our discerning inclinations have evolved into more pernicious biases over the years as cultures become enmeshed and our discrimination is exacerbated by religion, caste, social status and skin color. In traditional computer programming people hand code a solution to a problem.

With machine learning (a subset of AI) computers learn to find the solution by finding patterns in the data they are fed, ultimately, by humans. As it is Impossible to separate ourselves from our own human biases and that naturally feeds into the technology we create.

Interaction bias: If we are teaching a computer to learn to recognize what an object looks like, say a shoe, what we teach it to recognize is skewed by our interpretation of a shoe (mans/womans or sports/casual) and the algorithm will only learn and build upon that basis. Latent bias: If you’re training your programme to recognize a doctor and your data sample is of previous famous physicists, the programme will be highly skewed towards males. Read more from…

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