A Taxonomy of Omnicidal Futures Involving Artificial Intelligence (2025)

measurablefunc1 pts0 comments

[2507.09369] A Taxonomy of Omnicidal Futures Involving Artificial Intelligence

Skip to main content

arXiv is now an independent nonprofit!<br>Learn more<br>&times;

Search arXiv

Press Enter to search &middot; Advanced search

-->

Computer Science > Artificial Intelligence

arXiv:2507.09369 (cs)

[Submitted on 12 Jul 2025]

Title:A Taxonomy of Omnicidal Futures Involving Artificial Intelligence

Authors:Andrew Critch, Jacob Tsimerman<br>View a PDF of the paper titled A Taxonomy of Omnicidal Futures Involving Artificial Intelligence, by Andrew Critch and 1 other authors

View PDF<br>HTML (experimental)

Abstract:This report presents a taxonomy and examples of potential omnicidal events resulting from AI: scenarios where all or almost all humans are killed. These events are not presented as inevitable, but as possibilities that we can work to avoid. Insofar as large institutions require a degree of public support in order to take certain actions, we hope that by presenting these possibilities in public, we can help to support preventive measures against catastrophic risks from AI.

Subjects:

Artificial Intelligence (cs.AI)

MSC classes:<br>68T01

ACM classes:<br>I.2.0

Cite as:<br>arXiv:2507.09369 [cs.AI]

(or<br>arXiv:2507.09369v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2507.09369

Focus to learn more

arXiv-issued DOI via DataCite

Submission history<br>From: Andrew Critch PhD [view email]<br>[v1]<br>Sat, 12 Jul 2025 18:23:36 UTC (420 KB)

Full-text links:<br>Access Paper:

View a PDF of the paper titled A Taxonomy of Omnicidal Futures Involving Artificial Intelligence, by Andrew Critch and 1 other authors<br>View PDF<br>HTML (experimental)<br>TeX Source

view license

Current browse context:

cs.AI

next >

new<br>recent<br>| 2025-07

Change to browse by:

cs

References & Citations

NASA ADS<br>Google Scholar

Semantic Scholar

export BibTeX citation<br>Loading...

BibTeX formatted citation

&times;

loading...

Data provided by:

Bookmark

Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle

Bibliographic Explorer (What is the Explorer?)

Connected Papers Toggle

Connected Papers (What is Connected Papers?)

Litmaps Toggle

Litmaps (What is Litmaps?)

scite.ai Toggle

scite Smart Citations (What are Smart Citations?)

Code, Data, Media

Code, Data and Media Associated with this Article

alphaXiv Toggle

alphaXiv (What is alphaXiv?)

Links to Code Toggle

CatalyzeX Code Finder for Papers (What is CatalyzeX?)

DagsHub Toggle

DagsHub (What is DagsHub?)

GotitPub Toggle

Gotit.pub (What is GotitPub?)

Huggingface Toggle

Hugging Face (What is Huggingface?)

ScienceCast Toggle

ScienceCast (What is ScienceCast?)

Demos

Demos

Replicate Toggle

Replicate (What is Replicate?)

Spaces Toggle

Hugging Face Spaces (What is Spaces?)

Spaces Toggle

TXYZ.AI (What is TXYZ.AI?)

Related Papers

Recommenders and Search Tools

Link to Influence Flower

Influence Flower (What are Influence Flowers?)

Core recommender toggle

CORE Recommender (What is CORE?)

Author

Venue

Institution

Topic

About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .

Which authors of this paper are endorsers? |<br>Disable MathJax (What is MathJax?)

Major funding support from

toggle arxiv artificial intelligence taxonomy omnicidal

Related Articles