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Paradoxically, the marginalized are largely missing from a conversation that uses them as a justification

Paradoxically, the marginalized are largely missing from a conversation that uses them as a justification. Thus far, the approach has been to gather experts to discuss and strategize ways to better implement inclusion in the AI ecosystem without consulting the so-called marginalized groups they seek to protect. In that sense, we must be wary of replicating the exclusionary practices in the international cooperation model and instead, move towards a paradigm that sees technology design, transfer, and debate as an act of solidarity.We need to guard against the creation of an artificial intelligentsia that discusses inclusion without including the other. — https://points.datasociety.net/lets-avoid-an-artificial-intelligentsia-inclusion-artificial-intelligence-and-human-rights-3905d708e7ed?source=rss—-2488f66d2e39—4
    Next → → By now, it should be easy to see how different questions about your data can lead to different visualization types. This accomplishes a few things ← Previous → In the past five years, multiple spaces have emerged to facilitate discussions about AI, from new multi-stakeholder organizations like the Partnership for AI to research centers like AI Now and projects like the Ethics and Governance of Artificial Intelligence Initiative https://points.datasociety.net/lets-avoid-an-artificial-intelligentsia-inclusion-artificial-intelligence-and-human-rights-3905d708e7ed?source=rss—-248
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