AI
Good
Houlin Zhao
International Telecommunication Union
ITU
OTIN
Smart
United Nations Sustainable Development Goals

Geneva Summit showcases power of AI to enrich lives

The pioneering proposals were conceived by expert ‘breakthrough’ teams to address expanded and improved health care, enhanced monitoring of agriculture and biodiversity using satellite imagery, ‘smart’ urban development as well as trust in AI.  The summit brought together AI innovators with public and private-sector decision-makers to create collaboration opportunities that can execute the ‘AI for Good’ project proposals in the near and medium terms.

The Second ‘AI for Good Global Summit’ ended at the Geneva headquarters of the International Telecommunication Union (ITU), having produced 35 innovative project proposals that use the power of artificial intelligence (AI) “for the good” of humanity. The pioneering proposals were conceived by expert ‘breakthrough’ teams to address expanded and improved health care, enhanced monitoring of agriculture and biodiversity using satellite imagery, ‘smart’ urban development as well as trust in AI.  The summit brought together AI innovators with public and private-sector decision-makers to create collaboration opportunities that can execute the ‘AI for Good’ project proposals in the near and medium terms.  “Leveraging the power of ICTs, including artificial intelligence, is imperative if we are to improve livelihoods of all people, everywhere, through achievement of the United Nations Sustainable Development Goals,” said ITU Secretary-General Houlin Zhao.

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“This call to action by stakeholders was loud and clear at the first AI for Good Global Summit held one year ago. Now here at the 2nd annual summit, a powerful ‘AI for Good’ community movement has emerged with pioneering proposals and rich diversity of expertise.” The AI for Good community at the summit discussed the merits of sharing AI tools and resources, datasets, and supporting knowledge and expertise – a vision the summit’s participants conceptualized as “AI and Data Commons”. The initiative responds to a growing recognition among stakeholders that shared resources could spur new AI for Good projects, enable significant scale, and create incentives to return new and improved resources to the AI for Good community.

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