Remove Ethics Remove Production Remove Public and Social Policy
article thumbnail

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.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

article thumbnail

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.

Ethics 134
article thumbnail

Inclusive AI adoption to drive nonprofit missions

Candid

By listening to diverse voices and identifying inclusive implementation practices, nonprofits can help make sure AI serves the needs of all communities and is used ethically and equitably to address social issues. Develop an AI policy The first step is to create a policy that guides, rather than restricts, AI use.

article thumbnail

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.

Ethics 52
article thumbnail

The AI-Powered Nonprofits Coding a Greener Future

Stanford Social Innovation Review

Fast Forward’s research of how APNs are using AI to fight climate change found a vast range of use cases, including decarbonizing supply chains, tracking pollution, predicting disasters, optimizing sustainable farming practices, protecting biodiversity, and equipping policy makers with better data.