From Nonprofit Quarterly <[email protected]>
Subject Why Civil Society Needs to Pay Attention to AI
Date July 15, 2021 5:31 PM
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Social change agents engaging with algorithms and artificial intelligence, automation’s economic impact, and Stanford’s racial equity tech conference.

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** Race + Power Weekly
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While artificial intelligence is the leading edge in the private sector, the nonprofit sector is just beginning to pay attention. Social change agents need to take AI seriously, not just because some (mostly Black women) have warned about its inequity-enhancing uses, but because it can be a source of equity and perhaps even liberation, if we design for that. An article by Cyndi Suarez makes the case for this by providing theory and context. A clip with transcript from an interview with Emily Kawano proposes that AI be used to advance a solidarity economy. A link to an article by the ACLU calls on the Biden administration to address AI in its civil rights and equity policies. Finally, a link to a Stanford article highlights the main ideas at its first Technology and Racial Equity Conference.
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Why Civil Society Needs to Pay Attention to AI ([link removed])
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How do we, as social change agents, engage the growth of algorithms and artificial intelligence? Read more… ([link removed])

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** Automation and the Solidarity Economy—Enabling Community Production ([link removed])
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Emily Kawano explains how a solidarity-based approach to the economy can help ensure automation supports livelihoods rather than upends them. Watch the clip… ([link removed])


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How Artificial Intelligence Can Deepen Racial and Economic Inequities ([link removed])
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As AI adoption is cast as a smart economic investment in the future, it’s important to pause and ask: Whose futures and whose wallets are we talking about? Read more… ([link removed])

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Designing Anti-Racist Technologies for a Just Future ([link removed])
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Experts critiqued smart cities, ag-tech, blockchain, and policing during Stanford's first Technology and Racial Equity Conference. Read more… ([link removed])

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