Detecting Synthetic Phenomenology in a Contained Artificial General Intelligence

Autor:	Pittman, Jason M., Hanks, Ashlyn
Rok vydání:	2020
Předmět:	Computer Science - Computers and Society Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	Human-like intelligence in a machine is a contentious subject. Whether mankind should or should not pursue the creation of artificial general intelligence is hotly debated. As well, researchers have aligned in opposing factions according to whether mankind can create it. For our purposes, we assume mankind can and will do so. Thus, it becomes necessary to contemplate how to do so in a safe and trusted manner -- enter the idea of boxing or containment. As part of such thinking, we wonder how a phenomenology might be detected given the operational constraints imposed by any potential containment system. Accordingly, this work provides an analysis of existing measures of phenomenology through qualia and extends those ideas into the context of a contained artificial general intelligence. Comment: 6 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2011.05807 Zobrazit plný text záznamu View this record from Arxiv