AI Safety Research Futarchy: Research sabotage dataset
3
1kṀ295
Oct 12
57%
A LessWrong post is produced within 6 months and gains 50 upvotes or more within a month of posting.
45%
If a LessWrong post is produced, it gains 150 upvotes or more within a month of posting.
59%
A paper is produced and uploaded to arXiv within 9 months.
50%
If a paper is produced, it is accepted to a top ML conference (ICLR, ICML, or NeurIPS) within 6 months of being uploaded to arXiv.
20%
If a paper is produced, it receives 10 citations or more within one year of being uploaded to arXiv.

If chosen, how successful will the research project "Research sabotage dataset" be?

Project summary: Creating a public dataset of tasks reflecting current and future AI safety research that can be used to study underelicitation and sandbagging.

Detailed project overview.

Clarifications:

  • Unless otherwise stated, timeframes are given from when the research begins, i.e. the start of the MARS program, 1st December 2025

  • Updates to posts and papers will be considered the same entity as the original for purposes of outcome resolution (i.e. If a paper is produced and uploaded to arXiv within 9 months, but it is edited after this before being accepted at a conference, (4) still resolves YES)

  • Some outcomes are conditional on others as follows: outcome (2) will resolve N/A if (1) resolves NO, outcomes (4)-(6) will resolve N/A if (3) resolves NO

  • All outcomes are conditioned on the project being selected and will resolve N/A if it is not (see main post below)

  • Provisionally, market will close and decisions will be made on Monday the 12th of October

For more details on AI Safety Research Futarchy, see here.

Get
Ṁ1,000
to start trading!
© Manifold Markets, Inc.•Terms•Privacy