# Classification Schemas for Artificial Intelligence Failures

arXiv: https://arxiv.org/abs/1907.07771 · HTML: https://mlsanity.com/paper/1907.07771/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Jul 2019.

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

- [Understanding and Avoiding AI Failures: A Practical Guide](https://mlsanity.com/paper/2104.12582/) (2021)

## Abstract (arXiv)

In this paper we examine historical failures of artificial intelligence (AI) and propose a classification scheme for categorizing future failures. By doing so we hope that (a) the responses to future failures can be improved through applying a systematic classification that can be used to simplify the choice of response and (b) future failures can be reduced through augmenting development lifecycles with targeted risk assessments.
