Artificial intelligence (AI) has emerged as a transformative force across numerous industries, including the nonprofit sector. AI encompasses various technologies designed to perform tasks that traditionally require human intelligence, such as understanding language, analyzing data, and making recommendations.

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Keeping a nonprofit organization’s website secure is critical. Cyberattacks can cause significant damage to an organization and include threats such as operational disruptions, data breaches, financial loss, and damage to its reputation.

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This set of guidelines covers five focus areas that can help organizations evaluate generative AI’s risks and considerations as these tools gain mainstream adoption. These guidelines don’t replace principles but instead act as a North Star for how generative AI can be operationalized and put into practice as organizations develop products and services that use this new technology.

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This resource provides insights and methodology with reflection on the initial idea, pilot, and beta for playbook launch phases. It concludes with overall lessons that can be useful to everyone who is developing data playbooks for their organizations.

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Data observability is a set of principles that can be implemented in tools to ensure data is accurate, up-to-date, and complete. This principle is increasingly necessary, especially as traditional approaches to software monitoring fall short for high-volume, high-variety data. Unit tests, which assess small pieces of code for performance on discrete, deterministic tasks, get overwhelmed by the variety of acceptable shapes and values that real-world data can take.

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This tool guides data practitioners through different stages to ensure that the work they conduct is as actionable as possible. It offers guidance, brainstorming exercises, and supplementary resources.

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These tools provide users leverage to develop and interact with climate data sources. The ‘Models and Tools’ sheet collects analytics models that process/model raw data with output, such as synthesized indexes, hazard impact prediction, and assessment of risks related to climate, environment, and public health.

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In order to understand the reality on the ground, this resource provides three mini-briefs based on initiatives in developing countries that seek to reach and provide highly localized digital products and services for digitally marginalized populations through a human-centered approach to data governance. 

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Data can be a powerful tool, particularly in the social sector, with unique opportunities and challenges alike. By being more strategic in how we engage with data, we have an opportunity to advance our missions, increase impact, and promote equitable outcomes. This course was designed with and for social sector organizations seeking to build capacity in these areas.

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Multiparty data sharing in the social impact sector refers to situations where two or more organizations collaborate to collect, share, and/or analyze data to address societal challenges. Multiparty data sharing often happens among stakeholders from different sectors, including governmental agencies, private companies, and nongovernmental organizations, who come together to establish collaborative partnerships.

This document focuses on data-sharing initiatives that involve partners from across sectors, excluding business-to-business (B2B) and government-to-government (G2G) data sharing. 

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Tech Accelerate tool is a free, comprehensive assessment of technology use and policies designed to help nonprofit staff with decisions, planning, and investments. The tool offers a single comprehensive assessment that provides multiple options for analysis and application. Organizations have used Tech Accelerate reports to apply for grants or support fundraising, inform strategic planning or budgeting, and build a technology roadmap. 

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For anyone who works at a nonprofit or civil society group, this guide can help protect the digital privacy of their clients and supporters in a number of ways. These principles should be helpful for thinking about how to move towards better privacy practices in an organization.

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