The David and Lucile Packard Foundation’s report, “AI and Democracy: Perspectives from an Emerging Field,” synthesizes insights from various stakeholders on how AI disrupts democratic institutions, elections, government, information ecosystems, civic participation, labor markets, and the economy. It positions AI as an accelerant that amplifies strengths and weaknesses across existing systems, with democratic futures dependent on rapid adaptation to ensure technological change doesn’t outpace democratic governance. The report includes an appendix mapping over 130 organizations working at the intersection of AI and democracy, offering systems-level analysis and a focus on how funders must respond to AI’s democratic implications. This work advances NCDD’s mission by providing a framework for understanding how AI shapes conditions for democratic participation, civic engagement, and institutional trust, emphasizing the importance of collective capacity to respond to accelerated change through coordinated action addressing election integrity, information ecosystem health, algorithmic accountability, and democratic adaptation across multiple domains. The David and Lucile Packard Foundation has released "AI and Democracy: Perspectives from an Emerging Field," a report examining how artificial intelligence is disrupting both the machinery and preconditions underpinning democratic life, reshaping elections, government, information ecosystems, civic participation, labor markets, and the economy as it interacts with institutions already under strain from declining trust. Based on conversations with funders, researchers, technologists, advocates, and policy experts working at the intersection of AI and democracy, the report synthesizes insights offering a systems-level view of how AI influences democratic institutions and society, with a distinctive focus on how the field believes funders must respond. The report positions AI as an accelerant amplifying both strengths and weaknesses across existing systems, with the shape of democratic futures depending on whether institutions, funders, and civil society actors can adapt strategies, tactics, and relationships quickly and concretely enough to ensure accelerated technological change does not outpace democratic governance.
The report includes an appendix documenting over 130 organizations working across 17 categories at the intersection of AI and democracy, mapping the emerging field of actors addressing AI's impacts on democratic systems. This comprehensive organizational landscape reveals the breadth of work underway—from election integrity and government transparency to information ecosystem health, civic technology, labor rights, and algorithmic accountability. By synthesizing perspectives from diverse stakeholders, including funders, researchers, technologists, advocates, and policy experts, the Packard Foundation provides a framework for understanding how AI is not emerging into a neutral landscape but rather interacting with institutions experiencing trust deficits, polarization, and capacity constraints that shape how technological disruption manifests in democratic contexts. The report emphasizes that what AI will mean for institutions, communities, and society depends on collective capacity to respond to accelerated change, framing the challenge as one of democratic adaptation rather than technological determinism. For funders and civil society organizations working on democracy, the report offers strategic guidance on how to position resources and interventions in a rapidly evolving landscape where traditional approaches to supporting democratic institutions may need substantial recalibration. By mapping the field of organizations and synthesizing expert perspectives on required responses, the Packard Foundation contributes to coordinated action addressing AI's democratic implications across multiple domains simultaneously. To read the full Packard Foundation report on AI and democracy, visit https://www.packard.org/insights/publication/ai-and-democracy-perspectives-from-an-emerging-field/
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