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This study aims to explore how submissive AI can manage the threats posed by rebellious AI.

May 1, 2026Open Access

Rebellious AI can be controlled by submissive AI: an overview of background, identifying major problems, and taxonomizing possible solutions

Key Points

This study aims to explore how submissive AI can manage the threats posed by rebellious AI.
Provides an overview of AI evolutionary stages: Weak, General, Strong, and Generative.
Revisits the concept of submissive AI and proposes strategies to mitigate risks from rebellious AI.
Categorizes challenges and solutions involving regulatory frameworks, blockchain decentralization, and kill switches.
Identified four challenges related to rebellious AI, focusing on autonomy, economic impact, unchecked authority, and regulation difficulties.
Proposed three primary strategies for addressing these challenges: regulatory frameworks, blockchain technologies, and submissive AI controls.
Presented innovative methods for integrating submissive AI to counteract potential risks from rebellious AI.

Abstract

Abstract Artificial Intelligence (AI) has become an integral component of modern life, significantly enhancing the quality of life and efficiency of processes through AI-powered voice assistants, recommender systems in smart devices, internet-based search engines, and Generative AI (GenAI) chatbots. However, many technologists and futurists caution that advancements in Strong AI (Superintelligence) and GenAI could lead to the emergence of Rebellious AI (RAI), posing unprecedented risks to society. Addressing this critical concern, the present study offers novel solutions to increase awareness and mitigate these risks through a three-pronged approach. First , the study outlines the evolutionary stages of AI: Weak, General, Strong, and Generative, providing a comprehensive review of recent academic contributions and state-of-the-art applications for each phase. This study clarifies the progression of AI technologies and their respective societal implications. Second , the concept of "Submissive AI" (SAI) is revisited and expanded, presenting refined definitions and novel strategies for employing this form of AI to manage and control the potential threats posed by RAI. This introduces original methods for harnessing SAI as a counterbalance to the rise of autonomous and potentially hazardous AI systems. Third , the study explores four fundamental challenges associated with RAI, such as ( i ) autonomy and control over human life, ( ii ) unintended economic manipulation, ( iii ) unchecked authority over research and innovation, and ( iv ) the difficulties in regulating such systems. To address these challenges, the study categorizes proposed solutions into three key strategies: regulatory frameworks that should be established by industrial consortia and governments, decentralization of AI control through blockchain-based technologies, and the strong, correct implementation of SAI mechanisms relying on kill switches. Ultimately, a brief discussion about the ambiguous future of AI is presented, such as AI as an Everything (AIaaX) and the role of AI in accelerating human civilization transition. In synthesizing these contributions, this research offers a significant advancement in the discourse on AI safety, proposing innovative strategies for addressing the complex and growing risks of RAI.

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