Update README.md

README.md

@@ -34,7 +34,7 @@ We engage directly with contributors and have addressed pressing issues. To brin
 - launched a [flagging feature](https://twitter.com/GiadaPistilli/status/1571865167092396033) for our community to determine whether ML artifacts or community content (model, dataset, space, or discussion) violate our [content guidelines](https://huggingface.co/content-guidelines),
 - monitor our community discussion boards to ensure Hub users abide by the [code of conduct](https://huggingface.co/code-of-conduct),
 - robustly document our most-downloaded models with model cards that detail social impacts, biases, and intended and out-of-scope use cases,
-- create audience-guiding tags, such as the “Not For All Eyes” tag that can be added to the repository’s card metadata to avoid un-requested violent and sexual content,
+- create audience-guiding tags, such as the “Not For All Audiences” tag that can be added to the repository’s card metadata to avoid un-requested violent and sexual content,
 - promote use of [Open Responsible AI Licenses (RAIL)](https://huggingface.co/blog/open_rail) for [models](https://www.licenses.ai/blog/2022/8/26/bigscience-open-rail-m-license), such as with LLMs ([BLOOM](https://huggingface.co/spaces/bigscience/license), [BigCode](https://huggingface.co/spaces/bigcode/license)),
 - conduct research that [analyzes](https://arxiv.org/abs/2302.04844) which models and datasets have the highest potential for, or track record of, misuse and malicious use.
 
@@ -60,7 +60,7 @@ Should a specific model be flagged as high risk by our community, we consider:
 - Gating access to ML artifacts (see documentation for [models](https://huggingface.co/docs/hub/models-gated) and [datasets](https://huggingface.co/docs/hub/datasets-gated)),
 - Disabling access.
 
-**How to add the “Not For All Eyes” tag:**
+**How to add the “Not For All Audiences” tag:**
 
 Edit the model/data card → add `not-for-all-audiences` in the tags section → open the PR and wait for the authors to merge it.
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