Skip to content
Sprint projectSep 1, 2024
1st place by peer review

DarkForest - Defending the Authentic and Humane Web

Mustafa Yasir · Team DarkForest

Submitted to Hackathon for Technical AI Safety Startups. Sprint projects are early-stage work by participants, not Apart Research publications.

Read the report

Report: DarkForest - Defending the Authentic and Humane Web

Code (opens in new tab)
Share

DarkForest is a pioneering Human Content Verification System (HCVS) designed to safeguard the authenticity of online spaces in the face of increasing AI-generated content. By leveraging graph-based reinforcement learning and blockchain technology, DarkForest proposes a novel approach to safeguarding the authentic and humane web. We aim to become the vanguard in the arms race between AI-generated content and human-centric online spaces.

Reviews

Judging this Sprint?

Review this project

Your public critique appears on this page without your name. Your private critique is not published; only the Apart team reads it. If you agree below, we share your review with grantmaking.ai (opens in new tab) and the Transformative AI Fund so strong projects can be funded.

Not shown on this page.

Shown on this page, without your name.

Only the Apart team reads this, and funders if you agree below.

Share my name publicly on grantmaking.ai *
Share my private critique with funders *

No public critique yet.

Cite this project

@misc{yasir2024darkforest,
  title = {{DarkForest - Defending the Authentic and Humane Web}},
  author = {Mustafa Yasir},
  year = {2024},
  month = sep,
  note = {Submitted to Hackathon for Technical AI Safety Startups, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/darkforest-defending-the-authentic-and-humane-web}},
  url = {https://apartresearch.com/sprints/projects/darkforest-defending-the-authentic-and-humane-web}
}

Build something like this at the next Sprint

AI Collusion Research Sprint · Oct 23 - 25, 2026