Thirty-five innovative project proposals leveraging the power of Artificial Intelligence (AI) 'for good' were generated at the 2nd AI for Good Global Summit, held last week in Geneva at the headquarters of the International Telecommunication Union (ITU), the United Nations specialised agency for information and communication technology (ICT).
The pioneering proposals were conceived at the summit by expert 'breakthrough' teams to address: expanded and improved health care; enhanced monitoring of agriculture and biodiversity using satellite imagery; 'smart' urban development; and trust in AI.
The summit connected AI innovators with public and private-sector decision-makers, creating collaboration opportunities to execute the 'AI for Good' project proposals in the near and medium terms.
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 conceptualised as "AI and Data Commons". This responds to 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.
This year's event was organised by ITU in partnership with 32 sister United Nations agencies, the XPRIZE Foundation and the Association for Computing Machinery (ACM).
"We're pleased that XPRIZE was able to help spark the crowd to focus on action, with collaborative efforts between public, private, governmental, research, financial and United Nations organisations focused on developing solutions that use AI for humanitarian benefit and can be realised this year and next," said Anousheh Ansari, member and chair of management, XPRIZE Board of Directors.
Three project proposals use AI-powered satellite imagery analysis to predict and prevent deforestation, track livestock with great accuracy, and provide data analytics for micro-insurance to small-hold farmers. A fourth project proposal provides enabling infrastructure and common capabilities – through a 'global service platform' – to support new satellite data projects in achieving immediate scale.
Participants also discussed the creation of a new study platform that would be open to all interested stakeholders, and supported by ITU and the World Health Organisation. This would collect use cases of AI in healthcare and identify the data formats and interoperability mechanisms required to amplify the impact of such use cases.
Seven project proposals aim to support linguistic diversity within cities, combat gender violence, and provide virtual testbeds for the simulation of smart city projects. These projects included the targeted establishment of an 'Internet of Cities', a global network able to share the data, knowledge and expertise required to replicate successful smart city projects elsewhere in the world.
Nine project proposals address three key dimensions of trust in AI: AI stakeholders' trust in AI developers; trust across national, cultural and organisational boundaries; and trust in AI systems themselves.
Other projects proposals seek to build trust in AI's contribution to agriculture and mental health. They investigate strategies for developing countries to maintain social stability as AI-driven automation influences labour markets. They also explore how the concept of trust varies across cultures, and they study how policymakers could encourage the development of trustworthy AI systems and datasets free of bias.
These projects would be supported by a proposed incubator for multi-disciplinary collaboration in the interest of building trust in AI, trustfactory.ai.