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The invisible society: Misgendering in Facial Recognition System

About the Project

The invisible society: Misgendering in Facial Recognition System__ project is an open-source initiative aimed at addressing the challenges and concerns in building inclusive facial recognition systems. Our goal is to foster critical analysis and discussions on the relationships among gender, identity, and face recognition technologies. We aim to encourage interdisciplinary dialogue to develop inclusive, diverse, and trustworthy AI systems, highlighting the dichotomy between self-perceived gender and machine-classified gender.

Key Features

Survey Module: Engage in surveys about identity, identification, misidentification, and disidentification. Participatory AI: Contribute to the development and refinement of AI models. Open Dataset: Access and contribute to a dataset based on survey responses. Community Collaboration: Participate in discussions and propose new survey questions or topics. Artistic Collaborations: Explore the intersection of art and technology in understanding gender and identity.

Getting Started

To get started with the project:

  1. Clone the Repository
git clone https://github.com/yourusername/inclusive-facial-recognition.git

  1. Explore the Documentation

    • Familiarize yourself with the project goals and features.
    • Review the Open Canvas and Roadmap (links below).
    • Participate in the Survey

  2. Access the survey module on our web application.

    • Contribute your insights and experiences.

  3. Join the Discussion

    • Engage with the community through our discussion forums.
    • Share ideas, ask questions, and collaborate.

Contributing

We welcome contributions from researchers, technologists, artists, and advocates. Here’s how you can contribute:

  • Content Contributions: Share research, articles, or discussion posts.
  • Technical Contributions: Assist with web development or data analysis.
  • Artistic Contributions: Submit artworks or creative projects.
  • Community Engagement: Participate in discussions and provide feedback. Please read our CODE_OF_CONDUCT.md for details on our code of conduct and the process for submitting pull requests.

Resources

License

This project is licensed under the CC-BY 4.0 - see the LICENSE.md file for details.