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10 Ways Funders Can Address Generative AI Now

Stanford Social Innovation Review

Most obviously, funders working in specific issue areas—climate, health, education, or in my case, democracy—can work to support efforts downstream to prepare government and civil society in their respective sectors to take advantage of the opportunities and mitigate the risks of AI on their specific areas of concern.

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Artificial Intelligence and Machine Learning: Common Challenges

Nonprofit Marketing Insights by GlobalOwls

Overcoming these obstacles requires collaboration between technology leaders, domain experts, ethicists, regulators, and civil society organizations. Anyone interested in exploring these revolutionary technologies must thoroughly understand the difficulties associated with artificial intelligence and machine learning.

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Fight and Build: Envisioning Solidarity Economies as Transformative Politics

NonProfit Quarterly

Solidarity economies are most often associated with ethical, cooperative economic practices, like local currencies, community land trusts, community gardens, fair trade, and cooperatives. These practices and their associated values—cooperation, sustainability, justice, interdependence, autonomy—make possible a transformative vision.

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What’s in a Name? The Ethics of Building Naming Gifts

Stanford Social Innovation Review

Over that time, I have witnessed an increased emphasis on naming opportunities for buildings and a decreased emphasis on ethical practice in capital fundraising where naming gifts often serve as marketing or reputation enhancing vehicles for donors that overshadow sincere charitable intent. This idea may not be as exaggerated as it sounds.

Ethics 111
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The Urgent Need to Reimagine Data Consent

Stanford Social Innovation Review

Civil society and humanitarian organizations are attuned to the reality that these streams of people generate massive amounts of data that can, for instance, help channel aid to the neediest, predict disease outbreaks, and much more.