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<title>Machine Learning and Society @ 🤗 </title> |
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<h1>Machine Learning and Society @ 🤗</h1> |
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<nav> |
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<li><a href="index.html">ML&Soc Home</a></li> |
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<li><a href="projects.html">ML&Soc Projects</a></li> |
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<li><a href="topics.html">ML&Soc Topics</a></li> |
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<li><a href="team.html">ML&Soc Team</a></li> |
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<h2>Menu</h2> |
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<ul> |
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<li><a href="topics.html#Understanding">Understanding: Openness and the Science of AI</a></li> |
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<li><a href="topics.html#Developing">Developing: Openness, Business, and Competition</a></li> |
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<li><a href="topics.html#Deciding">Deciding: Openness, Transparency, Democratic Control over AI</a></li> |
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<li><a href="topics.html#Shaping">Shaping: Governing how AI Systems are Created, Shared, and Used</a></li> |
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<li><a href="topics.html#Systems">Safeguarding Systems: Impact of AI on Social Systems</a></li> |
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<li><a href="topics.html#Persons">Safeguarding Persons: Impact of AI on Individuals' Rights and Interests</a></li> |
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<li><a href="topics.html#Sustaining">Sustaining: Environmental Costs and Impact of AI</a></li> |
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<li><a href="topics.html#Discussing">Discussing: International Dynamics and Geopolitics</a></li> |
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<h2>Machine Learning & Society Topic Cards</h2> |
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<p> |
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The interaction between Machine Learning-based systems and their social context |
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can be examined through the lens of different inter-related topics. In our work, |
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we have found the following 8 topics to constitute a helpful way to organize resources: |
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<a href="https://docs.google.com/document/d/102swvvpxj0K3nf0cNkmtIMg5CAD4yl_IO-ko75Uwc7Y/"> |
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ML and Society Topic Cards Overview Document |
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<h3 id="Understanding">Understanding: Openness and the Science of AI</h3> |
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<a href="https://docs.google.com/document/d/1D2KA3CKcuKOc9mOMRKjucYrYBREx30z9xuKUGSgQUEE/"> |
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Understanding: Openness and the Science of AI |
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</li> |
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</ul> |
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<p> |
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As AI is becoming ever more ubiquitous, increasingly more builders and affected |
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stakeholders need to understand how it works, what it can and cannot do, what trade-offs |
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are involved in developing the technology, and how it can be leveraged or improved in |
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particular contexts. This requires sufficient visibility and a thriving research ecosystem |
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that is inclusive of perspectives outside of those of the developers working within the |
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very best-resourced companies. |
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</p> |
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<p> |
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Making informed decisions about AI systems requires understanding how the technology works, |
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what development choices are available to meet certain goals, and how they trade off different |
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priorities. Approaching AI as a science means upholding scientific integrity, which includes |
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reproducibility, verifiability, and increasing the breadth of people who can use the technology |
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and contribute to scientific development. |
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</p> |
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</section> |
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<h3 id="Developing">Developing: Openness, Business, and Competition</h3> |
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<li> |
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<a href="https://docs.google.com/document/d/17ksxEVyBcRGL6e6da4OPbjRxuCT5iEx5Ih67bj1Fc_w/"> |
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Developing: Openness, Business, and Competition |
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</a> |
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</li> |
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</ul> |
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<p> |
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“AI” and Machine Learning systems are already ubiquitous, deployed in social |
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media and all kinds of digital services. AI can be compared to “Software 2.0” - |
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AI literacy is becoming part of the basic set of skills to build any kind of |
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technology. Relying exclusively on AI systems that are developed and served by a |
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handful of companies would have strong negative impacts on innovation and competition. |
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</p> |
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<p> |
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Having access to data is a significant competitive bottleneck, including: data about |
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how people are using AI systems - data about what AI systems are better or worse out - |
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use data and feedback from users - proprietary data to fine-tune models - internal databases |
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for RAG-like techniques. Sending all of that data to a few companies further centralizes |
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their role in adapting new technology. In addition to enabling anti-competitive practices, |
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this also limits the breadth of technology that can be developed - better to have smaller |
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companies work on their own hundreds of thousands of use cases than to have central entities |
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decide what is worth deploying and providing a “just OK” unique solution for everything. |
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</p> |
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</section> |
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<section> |
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<h3 id="Deciding">Deciding: Openness, Transparency, Democratic Control over AI</h3> |
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<ul> |
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<a href="https://docs.google.com/document/d/1PLNuZcal1z2tPbohhXEAoJAGr_GWbT0wkpulDtIJR6s/"> |
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Deciding: Openness, Transparency, Democratic Control over AI |
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</a> |
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</li> |
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</ul> |
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</section> |
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<section> |
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<h3 id="Shaping">Shaping: Governing how AI Systems are Created, Shared, and Used</h3> |
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<ul> |
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<li> |
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<a href="https://docs.google.com/document/d/151vybUB-JMkMafAjXmw7pRcbbuWnJw3RtcAI4zsEcVk/"> |
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Shaping: Governing how AI Systems are Created, Shared, and Used |
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</a> |
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</li> |
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</ul> |
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</section> |
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<section> |
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<h3 id="Systems">Safeguarding Systems: Impact of AI on Social Systems</h3> |
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<ul> |
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<li> |
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<a href="https://docs.google.com/document/d/1zhbaCZT8QDFHjhIlrnE-XObbXN8ZUMLhzrZYMFxBqFc/"> |
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Safeguarding Systems: Impact of AI on Social Systems |
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</a> |
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</li> |
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</ul> |
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</section> |
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<section> |
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<h3 id="Persons">Safeguarding Persons: Impact of AI on Individuals' Rights and Interests</h3> |
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<ul> |
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<li> |
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<a href="https://docs.google.com/document/d/18DsFYeaoWcK8VOkl77E9AgdHA7vhyiqUhSmGm-vnIEE/"> |
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Safeguarding Persons: Impact of AI on Individuals' Rights and Interests |
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</a> |
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</li> |
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</ul> |
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</section> |
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<section> |
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<h3 id="Sustaining">Sustaining: Environmental Costs and Impact of AI</h3> |
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<ul> |
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<li> |
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<a href="https://docs.google.com/document/d/1fgi2NEb4glP8QGansroHmL9BZJ6Ja8zQKWQY4STRQ3k/"> |
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Sustaining: Environmental Costs and Impact of AI |
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</a> |
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</li> |
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</ul> |
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</section> |
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<section> |
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<h3 id="Discussing">Discussing: International Dynamics and Geopolitics</h3> |
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<ul> |
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<li> |
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<a href="https://docs.google.com/document/d/1BKXCx72vvdGAAzD6VGbPPBiA6AYdEHwDTwW07WBP084/"> |
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Discussing: International Dynamics and Geopolitics |
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</a> |
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</li> |
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</ul> |
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</section> |
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