Working Groups: Difference between revisions

The Building Trustworthy AI Working Group for AI builders is an engaged community of over 250 global members who aim to help our technical community build more Trustworthy AI. We invite developers, funders, and policy-makers expressly concerned with technical products and standards to this group. <br />

'''AI Unveiled: Discovering Patterns, Shaping Patterns.''' This project is building a serious game environment for users to discover the patterns driving the behavior of automated systems based on machine learning. Our goal is for users - even without technical knowledge - to gain insight into the workings of opaque systems based on so-called artificial intelligence. Join us in giving users a better understanding of how their data feeds algorithms. <br />

'''Fair EVA: A Toolkit for Evaluating Voice Assistant Fairness.''' This project will build and deploy an evaluation toolkit for developers to test the fairness of deep learning components that make up embedded voice assistants. We believe a fair voice assistant should work equally well for all users, irrespective of their demographic attributes. At the moment it is not possible to even test if this is the case, despite obvious discrepancies during regular use. Join us to create more equitable access to voice assistants.<br />

'''Visualizing Internet Subcultures on Social Media.''' This project will build an interactive visualization of the formation of and interactions between different communities on the internet, from die-hard fan bases to real-life social movements. Join us to help build this dynamic visualization.

Foundational Tech for Low-Resource Languages. This project will re-imagine the foundational technology infrastructure needed to kickstart the artificial intelligence / machine learning frameworks for some of the low-resourced languages of South Asia. Join us in building a more diverse, equitable, and community-run AI ecosystem for global languages starting in South Asia.<br />

'''Truth of Waste as a Public Good.''' This project is bringing transparency to waste recycling through standardized content authentication. Focusing on waste management, a prototype powered by AI will interact with the decision-making ecosystem that empowers better decisions around recycling or re-homing. Join us to streamline the cooperative, circular economy business model.<br />

'''MOSafely: An AI Community Making the Internet a Safer Place for Youth.''' Modus Operandi Safely (MOSafely.org) is an open-source community that leverages evidence-based research, data, and artificial intelligence to help youth and young adults engage more safely online. Join us in building technology that detects risk behaviors of youth online and/or unsafe online interactions with others.<br />

'''Atlanta University Center Data Science Initiative.''' As part of Mozilla’s HBCU Collaborative, The Atlanta University Center Data Science Initiative is working to develop a prototype of a tool or technology that promotes Trustworthy AI. Interested in supporting this open innovation project? Join the working group to learn more.<br />