Update README.md

README.md

@@ -51,7 +51,7 @@ The model card has been written in combination by the Hugging Face team and Inte
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 | Primary intended uses | You can use the raw model for zero-shot monocular depth estimation. See the [model hub](https://huggingface.co/models?search=dpt) to look for fine-tuned versions on a task that interests you. | 
 | Primary intended users | Anyone doing monocular depth estimation | 
-| Out-of-scope uses | This model in most cases will need to be fine-tuned for your particular task.  |
+| Out-of-scope uses | This model in most cases will need to be fine-tuned for your particular task.  The model should not be used to intentionally create hostile or alienating environments for people.|
 
 
 ### How to use
@@ -136,12 +136,12 @@ 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 | The extent of the risks involved by using the model remain unknown.|
+| 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 |
 | ----------- | 
-| There are no additional caveats or recommendations for this model. |
+| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. There are no additional caveats or recommendations for this model. |