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Letters | How AI can be more than a money spinner

  • Readers discuss how the tranformative power of artificial intelligence can be tapped, and the menace of spam calls in Hong Kong

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A man rides his bicycle under the scorching heat of the sun amid El Nino in Quezon City, the Philippines, on April 30. Climate change is just one of the problems facing the world that AI can be deployed to help tackle. Photo: Xinhua
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Artificial intelligence (AI) has been lauded as a new driver for growth and productivity. But AI must be more than a profit-making tool. We must seize on its potential to accelerate a sustainable, equitable and fair economy.
To achieve this, AI should be put in the hands of social entrepreneurs, especially those serving communities most affected by social inequality and the climate crisis. They can help find and scale new solutions to our most pressing challenges.
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The Schwab Foundation’s “AI for Social Innovation” initiative, co-initiated by Microsoft and supported by the EY organisation, recently built on the experiences of 300 social innovators to show how they are using AI to address healthcare issues, offer environmental solutions and generate economic opportunities for marginalised communities.

In Brazil, for example, black and indigenous women are at much greater risk of dying from cervical cancer. While AI offers opportunities for increasing access to diagnostics, data is skewed towards white patients. That’s why the social enterprise SAS Brasil is now developing datasets that can tackle data bias and enable diagnostics for black and indigenous women.

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Social entrepreneurs are uniquely positioned to drive a mass movement for ethical and responsible AI, but too many of them currently lack access. Only half of all social entrepreneurs have the technical skills to leverage AI. And while 50 per cent of all social enterprises are led by women, only 25 per cent of those implementing AI have a female founder.

Social entrepreneurs need support to integrate AI into their business models, so they can rapidly scale positive impacts – including access to medical treatment, educational outcomes or local environmental issues.

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