System and methods for safe alignment of superintelligence

A system for safe alignment of an Artificial Intelligent (AI) agent or system by combining information, including values or ethical information, in the AI agent or system from a combination of multiple intelligent entities, wherein the intelligent entities are any one of or any combination of a human user utilizing a computer system, an additional AI agent or system, and Artificial General Intelligent (AGI) agent or system, the system comprising:

• a computer system comprising:
• a processor, a computer-readable storage medium, and program instructions stored on the computer-readable storage medium being executable by the processor to cause the computer system to:
• identify information, including values or ethical information, from each of the intelligent entities that contribute the information;
• combine the information mathematically, if already represented as numerical quantities, the numerical quantities including any one of or any combination of weights for a neural network or for a subset of the neural network, or if the information is non-numerical information that is not already represented as numerical quantities including any one of or combination of weights for the neural network or for the subset of the neural network;
• then first training the AI agent or system on the non-numerical information by way of one or more training datasets to convert the non-numerical information into the numerical quantities including any one or combination of weights for the neural network or for the subset of the neural network;
• and
• then combine the numerically represented information.

A method for safe alignment of an AI agent or system by combining information, including values or ethical information, in the AI agent or system from a combination of multiple intelligent entities, wherein the intelligent entities are any one of or any combination of a human user utilizing a computer system, an additional AI agent or system, and an AGI agent or system, the method comprising the steps of:

• identifying information, including values or ethical information, from each of the intelligent entities contributing the information;
• combining the information mathematically, if already represented as numerical quantities, the numerical quantities including any one of or any combination of weights for a neural network or for a subset of the neural network, or if the information is non-numerical information that is not already represented as numerical quantities including any one of or combination of weights for the neural network or for the subset of the neural network;
• then first training the AI agent or system on the non-numerical information by way of one or more training datasets in order to convert the information into numerical quantities including any one or combination of weights for the neural network or for the subset of the neural network;
• and
• then combining such numerically represented information, including ethical information, mathematically.