Bill Gates Foundation Highlights Artificial Intelligence in the Fight Against Global Inequality

Serdar HocamAuthor & Editor

At the Goalkeepers gathering, Bill Gates emphasized the smart use of artificial intelligence while his foundation formed a new 60-member coalition for underrepresented languages.

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Bill Gates pushes for 'smart use' of AI as his foundation builds more representative language data

At the annual Goalkeepers gathering, Bill Gates called for greater generosity and the smart use of artificial intelligence to combat global inequality, while the Gates Foundation announced a new 60-member coalition aimed at making AI accessible in underrepresented languages.

Goalkeepers Gathering and Global Aid

Speaking with political commentator Van Jones at Jazz at Lincoln Center in New York, Bill Gates stated that increased generosity and the smart use of artificial intelligence can accelerate the fight against inequality.

It was noted that 26 of the world's 34 wealthiest countries reduced their development aid to poor countries last year, and that progress on the UN's sustainable development goals is slow.

Artificial Intelligence and Development Goals

At the foundation's event, attention was drawn to how educators, farmers, and healthcare workers use artificial intelligence to identify learning gaps, combat pests, and recall medical records.

The Gates Foundation has committed $1 billion to AI-focused efforts aimed at improving health outcomes, developing educational tools, and informing farmers' practices.

New Artificial Intelligence Language Coalition

The Gates Foundation, with the participation of Anthropic, Google, the OpenAI Foundation, and other organizations, formed a new 60-member coalition to make artificial intelligence more accessible in underrepresented languages.

The coalition aims to reach more than 3 billion people in five years by coordinating existing efforts.

Data Representation and Language Issues

The report emphasized that unrepresented language data can lead to mistranslations in AI models, noting for example that the statement of a pregnant woman from Malawi could be misunderstood.

Mozilla Data Collective CEO E.M. Lewis-Jong stated that a core problem is that many AI tools are trained on language data harvested without permission from the internet.