Artificial intelligence and moral enhancement
From Wikipedia, the free encyclopedia
Artificial intelligence and moral enhancement involves the application of artificial intelligence to the enhancement of moral reasoning and the acceleration of moral progress.
With respect to moral reasoning, some[who?] consider humans to be suboptimal information processors, moral judges, and moral agents.[1] Due to stress or time constraints, people often fail to consider all the relevant factors and information necessary to make well-reasoned moral judgments, people lack consistency, and they are prone to biases.
Ideal observer theory
The classical ideal observer theory is a metaethical theory about the meaning of moral statements. It holds that a moral statement is any statement to which an "ideal observer" would react or respond in a certain way. An ideal observer is defined as being: (1) omniscient with respect to non-ethical facts, (2) omnipercipient, (3) disinterested, (4) dispassionate, (5) consistent, and (6) normal in all other respects.
Adam Smith and David Hume espoused versions of the ideal observer theory and Roderick Firth provided a more sophisticated and modern version.[2] An analogous idea in law is the reasonable person criterion.
Artificial moral advisors can be compared and contrasted with ideal observers.[1] Ideal observers have to be omniscient and omnipercipient about non-ethical facts, while artificial moral advisors would just need to know those morally relevant facts which pertain to a decision.