Can We Keep Our Biases from Creeping into AI?

I suppose this all depends on how you are framing&#x2F;thinking about the question.<p>There is a certain amount of bias in being designed&#x2F;architected&#x2F;engineered&#x2F;constructed by humans - the artifact is &#x27;in our image&#x27;, as it were.<p>Are you talking about feeding a machine learning system data&#x2F;information to be turned into information&#x2F;knowledge by the system that is created by humans? That has our fingers all in it as well.<p>Cognitive bias? Well, are we talking about what is an &#x27;acceptable&#x27; result to a human, or the underlying process? Take Google&#x27;s machine vision system that sees the world as dogs - the cognition certainly is different, and the results of value to humans for an illustration&#x2F;visualization of the different approach as well as a certain aesthetic I suppose. The bias is in the entire point of the question and the specialization of the system to provide an answer. But as to the details of the analysis and results? I don&#x27;t think that has bias in the sense you may be thinking of.<p>Can you be more specific about what is meant by bias?

I&#x27;d argue that human bias is actually a source of truth. &quot;higher&quot; levels of truth are often codified in a way very similar to logical constructs. Human knowledge is biased but is flexible and adaptable. Codified law is fairer and has less bias but can only deal with exact situations.<p>I wonder if black box AI internally has an isomorphism to what is basically a gigantic codification of logic and the training process just discovers then or if it&#x27;s fundamentally something very different.