# On Controllability of AI

arXiv: https://arxiv.org/abs/2008.04071 · HTML: https://mlsanity.com/paper/2008.04071/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Jul 2020.

## Built on by (most cited first, 5 of 5)

- [AI Risk Skepticism, A Comprehensive Survey](https://mlsanity.com/paper/2303.03885/) (2023)
- [Self-Improvement of Large Language Models: A Technical Overview and Future Outlook](https://mlsanity.com/paper/2603.25681/) (2026)
- [An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AI](https://mlsanity.com/paper/2311.16027/) (2023)
- [AI Risk Skepticism](https://mlsanity.com/paper/2105.02704/) (2021)
- [Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It](https://mlsanity.com/paper/2606.12442/) (2026)

## Abstract (arXiv)

Invention of artificial general intelligence is predicted to cause a shift in the trajectory of human civilization. In order to reap the benefits and avoid pitfalls of such powerful technology it is important to be able to control it. However, possibility of controlling artificial general intelligence and its more advanced version, superintelligence, has not been formally established. In this paper, we present arguments as well as supporting evidence from multiple domains indicating that advanced AI can't be fully controlled. Consequences of uncontrollability of AI are discussed with respect to future of humanity and research on AI, and AI safety and security.
