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The AI-Powered Nonprofits Coding a Greener Future
Artificial intelligence has enormous potential to help humanity fight climate change. These organizations are already showing the way.
Artificial intelligence has enormous potential to help humanity fight climate change. These organizations are already showing the way.
What the fashion industry can learn from Renewcell’s bankruptcy about navigating the volatile terrain of sustainable ventures.
Understanding how nonprofits are leveraging AI will help other social entrepreneurs and funders see—and get inspired by—the vast possibilities in applying AI for social good.
Engaging directly with business was never the environmental movement’s first choice—and for good reason.
Aiming for sustainability has not fundamentally altered the environmentally destructive effects of business. Only by embracing regeneration as a model can we meet the challenges posed by today’s biggest global crises.
The key to creating a vibrant and sustainable company is to find ways to get all employees personally engaged in day-to-day corporate sustainability efforts.
The era of corporations integrating sustainable practices is being surpassed by a new age of corporations actively transforming the market to make it more sustainable. Open access to this article is made possible by The Regents of the University of Michigan on behalf of the Erb Institute.
For much of its history, Wal-Mart’s corporate management team toiled inside its “Bentonville Bubble,” narrowly focused on operational efficiency, growth, and profits. But now the world's largest retailer has widened its sights, building networks of employees, nonprofits, government agencies, and suppliers to “green” its supply chains. Here's how and why the world’s largest retailer is using a network approach to decrease its environmental footprint – and to increase its profitability.
To do as much good as possible with limited resources, funders should look to woefully underfunded protest movements.
Using artificial intelligence to predict behavior can lead to devastating policy mistakes. Health and development programs must learn to apply causal models that better explain why people behave the way they do to help identify the most effective levers for change.