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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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Philanthropy during COVID-19 in Brazil 

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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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. “In

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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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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.

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Invest in Networks for Exponential Climate Wins

Stanford Social Innovation Review

Google solved the problem with networks : By engineering connections among hundreds of thousands of computers, Google radically expanded what their search technology could do. But networks are not only key to speed and scale in the technology sector; the same is true for ambitious climate policy.