NimaBoscarino yjernite HF staff commited on
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ethical as a process πŸ€— (#1)

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- ethical as a process πŸ€— (0a4a681e64eef65a9538e824b3044e6f5e848ea3)


Co-authored-by: Yacine Jernite <[email protected]>

Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -85,11 +85,11 @@ rigorous = Category(
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  link="https://www.nature.com/articles/d41586-023-00423-4"
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  ),
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  News(
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- title="πŸͺͺ Model Cards: Introducing new documentation tools",
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  link="https://huggingface.co/blog/model-cards"
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  ),
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  News(
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- title="Ethics & Society Newsletter #2: Let's talk about bias!",
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  link="https://huggingface.co/blog/ethics-soc-2"
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  )
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  ],
@@ -115,7 +115,7 @@ rigorous = Category(
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  socially_conscious = Category(
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  title="πŸ‘οΈβ€πŸ—¨οΈ Socially Conscious",
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  description="""
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- Socially Conscious work shows us how machine learning can be applied as a force for good!
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  <br><br>
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  Examples:
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  <br><br>
@@ -315,7 +315,7 @@ with gr.Blocks(css="#margin-top {margin-top: 15px} #center {text-align: center;}
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  gr.Markdown("# Ethics & Society at Hugging Face")
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  gr.Markdown("""
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- At Hugging Face, we are committed to operationalizing ethics at the cutting-edge of machine learning. This page is dedicated to highlighting projects – inside and outside Hugging Face – in order to encourage and support ethical AI. We wish to have an ongoing conversation when it comes to ethics; this means that this page will evolve over time, and your feedback is invaluable. Please open up an issue in the [Community tab](https://huggingface.co/docs/hub/repositories-pull-requests-discussions) to share your thoughts!
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  """)
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  with gr.Accordion(label="Want to learn more? Visit us over on the Hugging Face Discord!", open=False):
@@ -331,7 +331,7 @@ with gr.Blocks(css="#margin-top {margin-top: 15px} #center {text-align: center;}
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  gr.Markdown("""
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  ### What does ethical AI look like?
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- We analyzed the submissions on Hugging Face Spaces and put together a set of 6 high-level categories for describing ethical machine learning work. Visit each tab to learn more about each category and to see what Hugging Face and its community have been up to! Is there a Space that you'd like to see featured? [Submit it here πŸš€](https://huggingface.co/spaces/society-ethics/featured-spaces-submissions)
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  """)
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  with gr.Column():
 
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  link="https://www.nature.com/articles/d41586-023-00423-4"
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  ),
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  News(
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+ title="πŸ“‘ Model Cards: Introducing new documentation tools",
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  link="https://huggingface.co/blog/model-cards"
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  ),
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  News(
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+ title="πŸ€— Ethics & Society Newsletter #2: Let's talk about bias!",
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  link="https://huggingface.co/blog/ethics-soc-2"
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  )
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  ],
 
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  socially_conscious = Category(
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  title="πŸ‘οΈβ€πŸ—¨οΈ Socially Conscious",
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  description="""
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+ Socially Conscious work shows us how machine learning can support efforts toward a stronger society!
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  <br><br>
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  Examples:
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  <br><br>
 
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  gr.Markdown("# Ethics & Society at Hugging Face")
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  gr.Markdown("""
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+ At Hugging Face, we are committed to operationalizing ethics at the cutting-edge of machine learning. This page is dedicated to highlighting projects – inside and outside Hugging Face – in order to encourage and support more ethical development and use of AI. We wish to foster ongoing conversations of ethics and values; this means that this page will evolve over time, and your feedback is invaluable. Please open up an issue in the [Community tab](https://huggingface.co/docs/hub/repositories-pull-requests-discussions) to share your thoughts!
319
  """)
320
 
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  with gr.Accordion(label="Want to learn more? Visit us over on the Hugging Face Discord!", open=False):
 
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  gr.Markdown("""
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  ### What does ethical AI look like?
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+ We analyzed the submissions on Hugging Face Spaces and put together a set of 6 high-level categories for describing ethical aspects of machine learning work. Visit each tab to learn more about each category and to see what Hugging Face and its community have been up to! Is there a Space that you'd like to see featured? [Submit it here πŸš€](https://huggingface.co/spaces/society-ethics/featured-spaces-submissions)
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  """)
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  with gr.Column():