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10 Ways Funders Can Address Generative AI Now

Stanford Social Innovation Review

Others, like the Ford, MacArthur, and Hewlett Foundations, and Omidyar Network, have focused on building the capacity to address the risks and opportunities posed by a wide range of technologies, including, but not limited to, artificial intelligence. Building government (and civil society) capacity to use AI. The future is now.

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How Global Talent Enriches a Global Health Organization

NonProfit Leadership Alliance

Yet to address these problems, we need to zoom in, convening experts, civil society and affected communities to explore sustainable solutions that work in the local context. These are the pillars on which we build our organizational culture: Inclusive collaboration, respect, commitment to learning and adaptability.

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Philanthropy during COVID-19 in BrazilĀ 

Candid

To understand how the pandemic impacted the philanthropic sector and civil society organizations around the world, we reached out to local experts who shared their observations and experiences over the past two years. Innovative technologies helped mobilize fundraising campaigns and increase donations to support these efforts.

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Investing in Systems Change Capacity

Stanford Social Innovation Review

A market innovation like creating a sustainable seafood market is unlikely to create enduring systems change without building strong relationships with civil society. Embedding change into a system means philanthropic staff, trustees, organizational divisions, and funder collaborative members must buy into the process.

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Can Cities Be the Source of Scalable Innovations?

Stanford Social Innovation Review

Companies like Sidewalk Labs, a subsidiary of Alphabet that develops technologies for sustainable urban design, are transforming business as usual to solve complex urban problems. In fact, city leaders often follow the pioneering innovations of civil society organizations.

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Philanthropy during COVID-19 in India

Candid

To understand how the pandemic impacted the philanthropic sector and civil society organizations around the world, we reached out to local experts who shared their observations and experiences over the past two years. For example, donors became more aware of the gaps in access to technology and transportation for nonprofit staff. ā€œIn

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Artificial Intelligence and Machine Learning: Common Challenges

Nonprofit Marketing Insights by GlobalOwls

These technologies are more than just catchphrases; they reshape hub industries like retail, healthcare, and finance. Challenges of Using AI and ML Adopting artificial intelligence and machine learning technologies presents several key challenges that organizations must consider.