Artificial Ethics

Artificial Intelligence (AI) has the potential to surpass human intelligence. This is obviously true with regard to measuring intelligence by speed and accuracy and scope of knowledge. Calculating machines that are faster, more accurate, and supply access to vast stores of information, are part of our daily lives. This alone doesn’t make them intelligent. In order to qualify as intelligent, a reasoning process needs to show some form of “wisdom”, or the knowledge of how to best apply processed information in progress toward a goal that is worth pursuing. Making decisions about “worth” and how to pursue a goal takes far more than simple data crunching. It takes extrapolation, prediction, and an ability to evaluate what is “best”. We call this ethical reasoning.

Ethical reasoning is similar to the process of scientific prediction in a general sense. Both easily benefit from calculating power and accuracy. Scientific prediction often refrains from evaluation in the final phase, preferring to present possible options that are to be confirmed or denied by experimentation. Ethical reasoning has the final evaluation as a primary goal, offering advice on which option is better than others.

When the value of calculated knowledge approaches the quality level produced by humans, we call it artificial intelligence. When the value of calculated ethical reasoning approaches the human quality level, we should call it “Artificial Ethics”.

Ethical Quotient (EQ) – []

Instead of using an Intelligence Quotient (IQ) to measure learning ability, we should use an Ethical Quotient (EQ) to measure the ability to apply intelligence well. IQ is measured by requiring manipulation of abstract symbols that hopefully is independent of memorized facts. An ultimate IQ test might involve developing a brand new algebra for manipulating previously unseen symbols.

Ethics of AIs
Turing – Consciousness – Ethics
Ethics is the Best Measure of Civilization
Ethics as Prediction

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