Haider, Sawsan (2024) The Impossibility of AI Containment: Logical, Mathematical, and Computational Limits to Control. [Preprint]

Text SHaider_AIContainment.pdf Download (193kB)

Abstract

This paper explores the artificial intelligence (AI) containment problem, specifically addressing the challenge of creating effective safeguards for artificial general intelligence (AGI) and superintelligence. I argue that complete control—defined as full predictability of AI actions and total adherence to safety requirements—is unattainable. The paper reviews five key constraints: incompleteness, indeterminacy, unverifiability, incomputability, and incorrigibility. These limitations are grounded in logical, philosophical, mathematical, and computational theories, such as Gödel’s incompleteness theorem and the halting problem, which collectively prove the impossibility of AI containment. I argue that instead of pursuing complete AI containment, resources should be allocated to risk management strategies that acknowledge AI’s unpredictability and prioritize adaptive oversight mechanisms.

---

Export/Citation:

EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL

Social Networking:

Share |

---

Item Type:	Preprint
Creators:	Creators Email ORCID Haider, Sawsan 19seh10@queensu.ca
Subjects:	Specific Sciences > Artificial Intelligence
Depositing User:	Ms Sawsan Haider
Date Deposited:	16 Nov 2024 13:47
Last Modified:	16 Nov 2024 13:47
Item ID:	24223
Subjects:	Specific Sciences > Artificial Intelligence
Date:	15 August 2024
URI:	https://philsci-archive.pitt.edu/id/eprint/24223

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item