We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings. Learn more about our Privacy Notice... [opens in a new tab]

The General Constraining Arguments of Artificial General Intelligence and the Prospects of Robust Alignment

21 January 2025, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

A discourse on the current state and possible scenarios of the development of artificial intelligent systems toward the level and abilities of general intelligence has been ongoing actively. One of the areas that has drawn attention from researchers is the possibility and challenges in the alignment of artificial intelligent systems including those advancing beyond the current state-of-the-art toward human-like cognitive abilities with human norms and values. While practical activities, policies and projects aimed at ensuring alignment with the current generation of intelligent systems have been well underway, in this study we focus on a more general question: what are the prospects, chances and/or the possibilities of ensuring robust alignment of secondary intelligent systems, in the sense defined in the study, in the further horizon and to the level of general intelligence. To advance in answering this question we attempted to determine and describe the minimal necessary characteristics that intelligent systems progressing toward that level must possess with the conclusion that under some reasonable assumptions, developing secondary intelligence capable of achieving the level of general intelligence will be able, at some stage of their cognitive progress, to form their own views, intents and objectives. The conclusion of our analysis is that the scenarios of “runaway” general intelligence that has advanced beyond the possibility of reliable control and perhaps, even comprehension, cannot be excluded for intelligent sys-tems advancing toward the level of general intelligence and has to be exam-ined closely and rigorously by the research community, policymakers and general society

Keywords

natural intelligent systems
artificial intelligent systems
Artificial General Intelligence
alignment
robust alignment
evolutionary intelligence

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting and Discussion Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.