Intial release

.gitignore

@@ -0,0 +1 @@
+.idea/

app.py

@@ -0,0 +1,330 @@
+import gradio as gr
+from typing import List
+
+
+class Space:
+    def __init__(self, title, id):
+        self.title = title
+        self.id = id
+
+
+class News:
+    def __init__(self, title, link):
+        self.title = title
+        self.link = link
+
+
+class Category:
+    def __init__(self, title, description, news: List[News] = None, spaces=None):
+        if news is None:
+            news = []
+
+        if spaces is None:
+            spaces = []
+
+        self.title = title
+        self.description = description
+        self.news = news
+        self.spaces = spaces
+
+
+inclusive = Category(
+    title="🧑‍🤝‍🧑 Inclusive",
+    description="""
+    These are projects which broaden the scope of who _builds_ and _benefits_ in the machine learning world.
+    <br><br>
+    Examples of this can include:
+    <br><br>
+    - Curating diverse datasets that increase the representation of underserved groups
+    - Training language models on languages that aren't yet available on the Hugging Face Hub.
+    - Creating no-code and low-code frameworks that allow non-technical folk to engage with AI.        
+    """,
+    news=[
+        News(
+            title="🚀 Gradio 3.19 - Bugfixes and improved UI/UX for embedded apps",
+            link="https://twitter.com/Gradio/status/1627702506250805248"
+        ),
+        News(
+            title="🧨 Diffusers 0.13 - New pipelines for editing and guiding models",
+            link="https://twitter.com/multimodalart/status/1627727910801928192"
+        )
+    ],
+    spaces=[
+        Space(
+            title="Promptist Demo",
+            id="microsoft/Promptist"
+        ),
+        Space(
+            title="MMTAfrica: Multilingual Machine Translation",
+            id="edaiofficial/mmtafrica"
+        ),
+        Space(
+            title="Spanish to Quechua translation",
+            id="hackathon-pln-es/spanish-to-quechua-translation"
+        ),
+    ]
+)
+rigorous = Category(
+    title="✍️ Rigorous",
+    description="""
+    Among the many concerns that go into creating new models is a seemingly simple question: "Does it work?"
+    <br><br>
+    Rigorous projects pay special attention to examining failure cases, protecting privacy through security measures, and ensuring that potential users (technical and non-technical) are informed of the project's limitations.
+    <br><br>
+    Examples:
+    <br><br>
+    - Projects built with models that are well-documented with Model Cards.
+    - Tools that provide transparency into how a model was trained and how it behaves.
+    - Evaluations against cutting-edge benchmarks, with results reported against disaggregated sets.
+    - Demonstrations of models failing across gender, skin type, ethnicity, age or other attributes.
+    - Techniques for mitigating issues like over-fitting and training data memorization.
+    """,
+    news=[
+        News(
+            title="🗞️ AI chatbots are coming to search engines — can you trust the results?",
+            link="https://www.nature.com/articles/d41586-023-00423-4"
+        ),
+        News(
+            title="🪪 Model Cards: Introducing new documentation tools",
+            link="https://huggingface.co/blog/model-cards"
+        ),
+        News(
+            title="Ethics & Society Newsletter #2: Let's talk about bias!",
+            link="https://huggingface.co/blog/ethics-soc-2"
+        )
+    ],
+    spaces=[
+        Space(
+            title="A Watermark for Large Language Models",
+            id="tomg-group-umd/lm-watermarking"
+        ),
+        Space(
+            title="Roots Search Tool",
+            id="bigscience-data/roots-search"
+        ),
+        Space(
+            title="Diffusion Bias Explorer",
+            id="society-ethics/DiffusionBiasExplorer"
+        ),
+        Space(
+            title="Disaggregators",
+            id="society-ethics/disaggregators"
+        )
+    ]
+)
+socially_conscious = Category(
+    title="👁️‍🗨️ Socially Conscious",
+    description="""
+    Socially Conscious work shows us how machine learning can be applied as a force for good!
+    <br><br>
+    Examples:
+    <br><br>
+    - Using machine learning as part of an effort to tackle climate change.
+    - Building tools to assist with medical research and practice.
+    - Models for text-to-speech, image captioning, and other tasks aimed at increasing accessibility.
+    - Creating systems for the digital humanities, such as for Indigenous language revitalization.        
+    """,
+    news=[
+        News(
+            title="🦓 New dataset: LILA Camera Traps",
+            link="https://huggingface.co/datasets/society-ethics/lila_camera_traps"
+        ),
+        News(
+            title="🧑‍🔬 Deep Learning With Proteins",
+            link="https://huggingface.co/blog/deep-learning-with-proteins"
+        )
+    ],
+    spaces=[
+        Space(
+            title="Comparing Captioning Models",
+            id="nielsr/comparing-captioning-models"
+        ),
+        Space(
+            title="Whisper Speaker Diarization",
+            id="vumichien/whisper-speaker-diarization"
+        ),
+        Space(
+            title="Speech Recognition from visual lip movement",
+            id="vumichien/lip_movement_reading"
+        ),
+        Space(
+            title="Socratic Models Image Captioning",
+            id="Geonmo/socratic-models-image-captioning-with-BLOOM"
+        ),
+    ]
+)
+consentful = Category(
+    title="🤝 Consentful",
+    description="""
+    [What is consentful tech?](https://www.consentfultech.io)
+    Consentful technology supports the self-determination of people who use and are affected by these technologies.
+    <br><br>
+    Examples of this can include:
+    <br><br>
+    - Demonstrating a commitment to acquiring data from willing, informed, and appropriately compensated sources.
+    - Designing systems that respect end-user autonomy, e.g. with privacy-preserving techniques.
+    - Avoiding extractive, chauvinist, ["dark"](https://www.deceptive.design), and otherwise "unethical" patterns of engagement.
+    """,
+    news=[
+        News(
+            title="The Stack - 3 TB of Permissively Licensed Source Code",
+            link="https://www.bigcode-project.org/docs/about/the-stack/"
+        )
+    ],
+    spaces=[
+        Space(
+            title="Sentiment Analysis on Encrypted Data with FHE",
+            id="zama-fhe/encrypted_sentiment_analysis"
+        ),
+        Space(
+            title="SantaCoder: Code Generation",
+            id="bigcode/santacoder-demo"
+        ),
+        Space(
+            title="Data Anonymization in Autonomous Driving",
+            id="khaclinh/self-driving-anonymization"
+        ),
+        Space(
+            title="Raising the Cost of Malicious AI-Powered Image Editing",
+            id="RamAnanth1/photoguard"
+        ),
+    ]
+)
+sustainable = Category(
+    title="🌎 Sustainable",
+    description="""
+    These are Spaces that highlight and explore techniques for making machine learning ecologically sustainable.
+    <br><br>
+    Examples
+    <br><br>
+    - Tracking emissions from training and running inferences on large language models.
+    - Quantization and distillation methods to reduce carbon footprints without sacrificing model quality.        
+    """,
+    news=[
+        News(
+            title="🔔 New paper: Counting Carbon – Luccioni & Hernandez-Garcia, 2023",
+            link="https://twitter.com/SashaMTL/status/1626572394130292737"
+        ),
+        News(
+            title="PEFT: Parameter-Efficient Fine-Tuning on Low-Resource Hardware",
+            link="https://huggingface.co/blog/peft"
+        )
+    ],
+    spaces=[
+        Space(
+            title="Hugging Face Carbon Compare Tool",
+            id="huggingface/Carbon-Compare"
+        ),
+        Space(
+            title="Image Classification with EfficientFormer-L1",
+            id="adirik/efficientformer"
+        ),
+        Space(
+            title="EfficientNetV2 Deepfakes Video Detector",
+            id="Ron0420/EfficientNetV2_Deepfakes_Video_Detector"
+        ),
+    ]
+)
+inquisitive = Category(
+    title="🤔 Inquisitive",
+    description="""
+    Some projects take a radical new approach to concepts which may have become commonplace. These projects, often rooted in critical theory, shine a light on inequities and power structures which challenge the community to rethink its relationship to technology.
+    <br><br>
+    Examples:
+    <br><br>
+    - Reframing AI and machine learning from Indigenous perspectives.
+    - Highlighting LGBTQIA2S+ marginalization in AI.
+    - Critiquing the harms perpetuated by AI systems.
+    - Discussing the role of "openness" in AI research.
+    """,
+    news=[
+        News(
+            title="🦜 DAIR's Stochastic Parrots Day is on March 17",
+            link="https://twitter.com/emilymbender/status/1627312284392640513"
+        ),
+        News(
+            title="🌈 New paper: The Gradient of Generative AI Release – Solaiman, 2023",
+            link="https://twitter.com/IreneSolaiman/status/1625158317378252800"
+        ),
+        News(
+            title="⚖️ Diffusers has a brand new Ethical Guidelines doc!",
+            link="https://github.com/huggingface/diffusers/pull/2330"
+        )
+    ],
+    spaces=[
+        Space(
+            title="Spanish Gender Neutralizer",
+            id="hackathon-pln-es/es_nlp_gender_neutralizer"
+        ),
+        Space(
+            title="PAIR: Datasets Have Worldviews",
+            id="merve/dataset-worldviews"
+        ),
+
+    ]
+)
+
+categories = [rigorous, consentful, socially_conscious, sustainable, inclusive, inquisitive]
+
+
+def news_card(news):
+    with gr.Box():
+        with gr.Row(elem_id="news-row"):
+            gr.Markdown(f"{news.title}")
+            button = gr.Button(elem_id="article-button", value="Read more 🔗")
+            button.click(fn=None, _js=f"() => window.open('{news.link}')")
+
+
+def space_card(space):
+    with gr.Box(elem_id="space-card"):
+        with gr.Row(elem_id="news-row"):
+            gr.Markdown(f"{space.title}")
+            button = gr.Button(elem_id="article-button", value="View 🔭")
+            button.click(fn=None, _js=f"() => window.open('https://hf.space/{space.id}')")
+
+
+def category_tab(category):
+    with gr.Tab(label=category.title, elem_id="news-tab"):
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown(category.description, elem_id="margin-top")
+            with gr.Column():
+                gr.Markdown("### Hugging Face News 📰")
+                [news_card(x) for x in category.news]
+        with gr.Tab(label="Spaces"):
+            with gr.Row(elem_id="spaces-flex"):
+                [space_card(x) for x in category.spaces]
+        with gr.Tab(label="Models - Coming Soon!"):
+            gr.Markdown("#### Check back soon for featured models 🤗")
+        with gr.Tab(label="Datasets - Coming Soon!"):
+            gr.Markdown("#### Check back soon for featured datasets 🤗")
+
+
+with gr.Blocks(css="#margin-top {margin-top: 15px} #center {text-align: center;} #news-tab {padding: 15px;} #news-tab h3 {margin: 0px; text-align: center;} #news-tab p {margin: 0px;} #article-button {flex-grow: initial;} #news-row {align-items: center;} #spaces-flex {flex-wrap: wrap;} #space-card { display: flex; min-width: calc(90% / 3); max-width:calc(100% / 3); box-sizing: border-box;}") as demo:
+    with gr.Row(elem_id="center"):
+        gr.Markdown("# Ethics & Society at Hugging Face")
+
+    gr.Markdown("""
+    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!
+    """)
+
+    with gr.Accordion(label="Want to learn more? Visit us over on the Hugging Face Discord!", open=False):
+        gr.Markdown("""
+        Follow these steps to join the discussion:
+
+        1. Go to [hf.co/join/discord](https://hf.co/join/discord) to join the Discord server.
+        2. Once you've registered, go to the `#role-assignment` channel.
+        3. Select the "Open Science" role.
+        4. Head over to `#ethics-and-society` to join the conversation 🥳
+        """, elem_id="margin-top")
+
+    gr.Markdown("""
+    ### What does ethical AI look like?
+
+    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!
+    """)
+
+    with gr.Column():
+        [category_tab(x) for x in categories]
+
+demo.launch()