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5 Ways For Civil Society To Engage With AI

The NonProfit Times

Engaging with AI thoughtfully is part of what makes it better for the sector, and while there exist major factors around ethics, disclosure, and responsible use, AI presents the nonprofit sector with an opportunity to leverage powerful digital tools in service of enhancing the capacity to do good in the world.

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Healing Society through the Archaeology of Self™: A Racial Literacy Development Approach

NonProfit Quarterly

Imagine a civil society in which communities, individuals, and leaders (nonprofit, social movement, philanthropy, business, education, and more) regularly engage in the process of self-examination for the sake of improving our world. The six components are as follows: Figure 1: Racial Literacy Development Model. ©Yolanda Sealey-Ruiz.

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Maybe nonprofit governance aint what it needs to be?

Philanthropy 2173

I want to think about what it means - if anything - for civil society. First, it seems that no one in civil society or the U.S. The AI world - especially that which professes some commitment to "ethics", "safety," "responsibility" or "trustworthiness"* - is ripe with hybrids, not trusts.

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Media's past, civil society's future?

Philanthropy 2173

It's one of failing business models, new alternatives, a failure of professional ethics and practice to provide distinguishing value, an explosion of choices that consumers don't differentiate between, and a collapse of trust. It's not a pretty story. link] [link] [link] [link] [link] [link]

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Honest Brokers, Technology, and Health Justice: What Are We Learning?

NonProfit Quarterly

But the sector needs a more compelling, ethical model for a brokerage that uses decentralized governance, transparency, and inclusivity. On the other hand, the brokers have faced ethical dilemmas and difficulties staying impartial while finding confidential information related to political strategies.

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85% Of United Nations’ Sustainable Goals Not Being Met

The NonProfit Times

The effectiveness of AI tools also requires grappling with responsible AI considerations, including ethical principles, risks, and data privacy. This emphasizes the need for co-creation to ensure AI-driven solutions are sensitive to and effective in addressing diverse social contexts and challenges.

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Using ‘Purple Glasses’ to Achieve Gender Equity in Mexico

Stanford Social Innovation Review

We both have worked across a variety of disciplines, including teaching, ethics, economics, architecture, and design. By Luz María Velázquez & Patricia Torres We are Lumi and Paty. Our stories are different, but they have similarities. And although we belong to different generations, we share a culture and experiences as Mexican women.