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By Nithya Ramanathan & Jim Fruchterman Recent milestones in generative AI have sent nonprofits, socialenterprises, and funders alike scrambling to understand how these innovations can be harnessed for global good. If youre ambitious about social change, you have to collect data, and you almost certainly need to collect it better.
Not all mergers require such significant investment, but since nonprofits cant bank profits for future investmentand socialenterprises often struggle to maintain margins that would support rapid growththis leaves us primarily dependent on fundraising campaigns and specific investable moments as vehicles for scaling.
Corporate promises of “partnership” and leveraging their buying power from socialenterprises can also be elusive. The company has pledged to procure five percent of its spend from socialenterprises and companies led by underrepresented founders by 2025. Consider SAP’s 2020 5 & 5 by 25 announcement.
My parents instilled in me a strong work ethic and a servant leader mindset from a young age. We were all on pins and needles, and most of us were constantly stressed about finance. . to disrupt the traditional accounting model through technology, innovation and a radically client-centered approach to finance. imagine that!
What if more communities of faith exercised an ethic that steeps money in systemic and local economic justice, and thousands of religious endowments invested those assets in local and regional economic development? What if millions of congregants followed suit?
Public education: Addressing the AI knowledge gap requires fostering engagement and inclusion, and an emphasis on leadership, ethics, and informed public discourse. Ethics don’t mutate when they are applied to a different technology, and these tenets are transferable to the realm of AI.
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