Using AI in the Development of Ethics

Both our understanding and application of ethics need improvement. There has been recent discussion of applying ethics to the development of Artificial Intelligence (AI) and control of AI. What is really needed is the use of AI in the development and guidance of our ethics.

Once a framework of moral standards and a methodology of assigning weight coefficients for comparisons are established, ethical analysis involves a lot of prediction of event trees. This produces possible outcomes that can be compared in order to select decisions that maximize the outcome. AI is perfectly suited to aid in the analysis component.

Computation speed and accuracy performance allow for more analysis with more detail, offering more choice options. The process of assigning weight coefficients for comparisons can be advanced by training neural networks to find the best weighting to produce ethical analysis outcomes that we already agree upon.

Selecting moral standards and using them to modify decision weighting may be done most effectively with manual human input. Humans can make simple ethical analysis decisions without difficulty, but when either the scope of factors involved in the analysis or the depth of detail used are increased, the computations involved become complex. Automated processing excels in areas of high complexity.

As complexity grows in the processing, it becomes possible to produce more complex answers and even to ask more complex questions. It will be interesting to see whether AI processing can also be used to pose new and important ethical questions to be resolved.

Artificial Ethics
A Singularity of Morality
Ethics is the Best Measure of Civilization
Vector Analysis of Ethics
Ethical Cascade Singularity
Ethics as Prediction
Ethical Advisors
The Logic of Ethics
Ethics of AIs

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