Counterfactual harm
Authors: Jonathan Richens, Rory Beard, Daniel H. Thompson
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our work reports no experimental results. In section 6 we use a three parameter parametric equation as an example, and cite the corresponding experimental paper where these parameters were learned. Our study does not use any datasets. All results were derived by hand. |
| Researcher Affiliation | Industry | jonrichens@deepmind.com |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | Our work reports no experimental results. |
| Open Datasets | No | Our study does not use any datasets. |
| Dataset Splits | No | Our study does not use any datasets. |
| Hardware Specification | No | All results were derived by hand. |
| Software Dependencies | No | All results were derived by hand. |
| Experiment Setup | No | Our work reports no experimental results. |