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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. Our grants auto-coding system is used to code most of the grants data that goes into Candid products.

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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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Announcing the Mid-South Nonprofit Conference Speakers!

Momentum Nonprofit Partners

The Conference + Catalyst are presented by Momentum Nonprofit Partners in partnership with the Institute for Philanthropy and Nonprofit Leadership, Department of Public and Nonprofit Administration. Our speakers Xavier Ramey is the CEO of Justice Informed, a social impact consulting firm based in Chicago, IL.

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Connecting the dots: Fighting for equity through a data partnership 

Candid

Skeptical because Candid is a nonprofit that describes its work ethic and culture as similar to that of the tech sector, which could mean either mission-driven with an innovative mindset, or appropriating the rhetoric of social movements while engaging in extractive practices. They built a public API and released a public data set.

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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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A Partnership Industry for Impactful Ed-Tech

Stanford Social Innovation Review

In both markets, products and services are sold across B2B, B2C, or B2G models, and both markets draw on data (and increasingly AI data) to increase efficiency and reduce the costs of established processes. It is therefore imperative to provide them with high-quality products that have documented evidence of positive impact.

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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. Generative AI raises a host of ethical questions and complexities.

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