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Doing good with AI tools: Navigating ethical considerations for the social sector 

Candid

A recent Salesforce survey found that more than a quarter of respondents are using AI tools at work, more than half of whom are using AI that is not approved by their organizations, including in the social sector. Even in cases where subject matter experts carefully manage data, biases can creep in. AI often amplifies those biases.

Ethics 52
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Announcing the Mid-South Nonprofit Conference Speakers!

Momentum Nonprofit Partners

The Mid-South Nonprofit Conference + Catalyst Awards will offer a keynote address + 12 breakout sessions The Mid-South Nonprofit Conference returns for its 5th year and aims to address barriers, solutions, and best practices within the nonprofit sector.

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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

.” We have seen this cycle many times before with technologies like personal computers, mobile phones, and social media. In the social sector, many nonprofits believe AI will solve all our work problems, instantly and painlessly. Others have outsized fears about it wreaking havoc and supplanting staff.

Ethics 139
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The Social Impact Investment Mirage

Stanford Social Innovation Review

Last year, our social impact startup hit a milestone that eludes 96 percent of female founders: we hit one million dollars in revenue. We know that for social entrepreneurs trying to solve global challenges, the system is rigged. Underneath every accomplishment lies a profoundly broken funding landscape for social innovation.

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The New Problem-Solving Skills That All Cities Need

Stanford Social Innovation Review

But this modern reality comes with an inconvenient truth: Our public institutions are not equipped with the updated skills they need to effectively tackle the world’s ever-escalating challenges—not by a long shot. Consider the climate crisis. There’s good reason for that, as these skills are foundational to the work of a well-run city.

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10 Ways Funders Can Address Generative AI Now

Stanford Social Innovation Review

At this uncertain time, as the potential use-cases of generative AI begin to become apparent, there are at least 10 things that funders can do to help the existing field of tech-related nonprofits—and society at large—better prepare. The future is now. Due this summer, it is now several months behind.