# Super forecasting the technological singularity risks from artificial intelligence

arXiv: https://arxiv.org/abs/2301.10028 · HTML: https://mlsanity.com/paper/2301.10028/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 36 references that are in the map.
- First posted on arXiv 28 Dec 2022.

## Builds on (most cited first, 4 of 4)

- [Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings](https://mlsanity.com/paper/1809.05250/) (2018)
- [Visualization of Very Large High-Dimensional Data Sets as Minimum Spanning Trees](https://mlsanity.com/paper/1908.10410/) (2019)
- [From product recommendation to cyber-attack prediction: Generating attack graphs and predicting future attacks](https://mlsanity.com/paper/1804.10276/) (2018)
- [Future developments in standardisation of cyber risk in the Internet of Things (IoT)](https://mlsanity.com/paper/1903.04428/) (2019)

## Built on by (most cited first, 1 of 1)

- [Threats, Attacks, and Defenses in Machine Unlearning: A Survey](https://mlsanity.com/paper/2403.13682/) (2024)

## Abstract (arXiv)

The article forecasts emerging cyber-risks from the integration of AI in cybersecurity.