Intel
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dpt-large

@@ -136,7 +136,7 @@ protocol defined in [30]. Relative performance is computed with respect to the o
 | Data | The training data come from multiple image datasets compiled together. |
 | Human life | The model is not intended to inform decisions central to human life or flourishing. It is an aggregated set of monocular depth image datasets. |
 | Mitigations | No additional risk mitigation strategies were considered during model development. |
-| Risks and harms | Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al., 2021](https://aclanthology.org/2021.acl-long.330.pdf), and [Bender et al., 2021](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups. Beyond this, the extent of the risks involved by using the model remain unknown.|
 | Use cases | - |
 | Caveats and Recommendations |

 | Data | The training data come from multiple image datasets compiled together. |
 | Human life | The model is not intended to inform decisions central to human life or flourishing. It is an aggregated set of monocular depth image datasets. |
 | Mitigations | No additional risk mitigation strategies were considered during model development. |
+| Risks and harms | The extent of the risks involved by using the model remain unknown. |
 | Use cases | - |
 | Caveats and Recommendations |