The Threat of a Reward-Driven Adversarial Artificial General Intelligence

5Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Once introduced, Artificial General Intelligence (AGI) will undoubtedly become humanity’s most transformative technological force. However, the nature of such a force is unclear with many contemplating scenarios in which this novel form of intelligence will find humans an inevitable adversary. In this chapter, we argue that if one is to consider reinforcement learning principles as foundations for AGI, then an adversarial relationship with humans is in fact inevitable. We further conjecture that deep learning architectures for perception in concern with reinforcement learning for decision making pave a possible path for future AGI technology and raise the primary ethical and societal questions to be addressed if humanity is to evade catastrophic clashing with these AGI beings.

Cite

CITATION STYLE

APA

Arel, I. (2012). The Threat of a Reward-Driven Adversarial Artificial General Intelligence. In Frontiers Collection (Vol. Part F968, pp. 43–60). Springer VS. https://doi.org/10.1007/978-3-642-32560-1_3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free