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Developing Responsible AI Policy For Civil Society

The NonProfit Times

By Shaista Keating and Chloe Mankin The rapid evolution and widespread adoption of artificial intelligence technologies (AI) offer both opportunities and challenges to civil society, particularly concerning responsible and ethical usage. Foundational efforts in these areas are underway. UNICEF has developed guidelines for AI use.

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AI and Racial Justice: Navigating the Dual Impact on Marginalized Communities

NonProfit Quarterly

Without intentional, ethical oversight, the data and algorithms behind AI risk repeating patterns of exclusion, discrimination, and bias. It reaches into healthcare, finance, justice, education, and public policy, promising to streamline and elevate. Take facial recognition technology , for instance.

Ethics 88
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Facial Recognition Technology’s Enduring Threat to Civil Liberties

NonProfit Quarterly

Not only has AI forever altered the technological landscape, but it also carries monumental and potentially corrosive impacts on the economic, political, and interpersonal terrain that makes up our everyday lives. Among the most recent and rapid developments of AI is facial recognition technology.

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A Historical Model for AI Regulation and Collaboration

Stanford Social Innovation Review

But by “weaponizing” this technology, we’ve made it much harder to regulate, as it has undoubtedly led to policies aimed at stockpiling resources to achieve national supremacy over the tech. In fact, many of the ideas around what AI can achieve has been influenced by the notion that it’s as powerful as a nuclear weapon.

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Unlocking the Power of Data Refineries for Social Impact

Stanford Social Innovation Review

Social progress, on the other hand, shows a very different picture. What explains this massive split between the corporate and the social sectors? Some refer to this as the “ data divide ”—the increasing gap between the use of data to maximize profit and the use of data to solve social problems.

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8 Steps Nonprofits Can Take to Adopt AI Responsibly

Stanford Social Innovation Review

It has moved past stage one, “innovation trigger,” wherein the technology shows up everywhere all at once, and is now at its “peak of inflated expectations.” ” We have seen this cycle many times before with technologies like personal computers, mobile phones, and social media. It won’t.)

Ethics 134
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The Promise & Peril of Creator Tools Like ChatGPT for Nonprofits

Beth Kanter

When we first started publishing and presenting on Smart Tech and AI tools to audiences of fundraisers, nonprofits, and funders in the social sector field, the media narrative around AI was presented as binary. It should not lead to replacing people or their jobs with the technology because to be effective these tools require human oversight.