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Gates Foundation forms global AI coalition to bridge language gap; Anthropic, Microsoft, Google among signatories

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Gates Foundation forms global AI coalition to bridge language gap; Anthropic, Microsoft, Google among signatories

Business News Tech AI Gates Foundation forms global AI coalition to bridge language gap; Anthropic, Microsoft, Google among signatories

Gates Foundation forms global AI coalition to bridge language gap; Anthropic, Microsoft, Google among signatories

The Gates Foundation is leading a coalition aimed at enhancing AI accessibility for speakers of underrepresented languages. This initiative involves 60 organizations pooling resources to create a governance framework and workstreams over the next year. The coalition intends to build data infrastructures and develop applications accessible to developers in many languages.

The Gates Foundation is bringing together multiple companies - inlcuding Anthropic, Microsoft, World Bank Group, Google, the OpenAI Foundation - in a new global coalition to make artificial intelligence (AI) more accessible in underrepresented languages, it said in a release. With a five-year goal of reaching more than three billion people, this coalition will jointly develop its governance framework, organisational structure and key workstreams over the next year. The participating organisations will pool their resources and expertise across four areas: building shared and safe open-language data infrastructure, developing benchmarks to track progress, turning language data into AI models and applications accessible to developers, and ensuring responsible deployment while protecting privacy, consent and data sovereignty, Gates Foundation said in the release.

4 billion people who speak languages currently underrepresented in today's AI models to be able to use AI tools in their own language and voice," the release read. The initial signatories span frontier AI labs, government ministries, philanthropic organisations, developers and implementation partners, bringing expertise across research, AI model development, funding and public policy.


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