AI for Good – webinar series

The AI for Good Webinar Series is a free, live series of talks, interviews and panels, featuring inter-disciplinary experts whose ideas, insights and solutions can help humanity leverage AI for good. The series will draw upon expertise from the AI for Good Global Summit community to share the latest developments in AI, unique insights and promising use cases on global challenges from health to the environment and reducing inequalities.

COVID-19: Combining crowdsourcing and AI to tackle the pandemic

14:00 – 15:30 Geneva | 08:00 – 09:30 New York | 05:00 – 06:30 San Francisco | 20:00 – 21:30 Beijing | 15:00 – 16:30 Moscow | 17:30 – 19:00 New Delhi | 19:00 – 20:30 Jakarta

Crowdsourcing is often associated with the darker side of AI: clickworkers in sweatshops filtering out illegal content from social media sites, to help train bots that will ultimately make the clickworkers redundant. In this session, we look at some of the more positive synergies between AI and crowdsourcing, through the lens of the coronavirus pandemic.

Online crowdsourced events such as the EUvsVirus hackathon held in April with over 20,000 participants have proliferated under the current global lockdown, bringing with them new lessons for how AI can contribute to better organizing large scale collaborations between humans. At the scale of citizen-driven science for Covid, projects have emerged that combine AI and crowdsourcing to extract vital information from the flood of literature being produced or train algorithms that can analyse social media for important trends. As the EC launches a new initiative for grassroots crowdsourcing to tackle the SDGs, this panel will discuss how AI can help crowds achieve more, how crowds can help improve AI, and where this marriage of people and machines might have the most impact on Covid-related research and innovation.

Crowdsourcing – large numbers of humans performing micro-tasks – is often associated with the darker side of AI: clickworkers in sweatshops filtering out images from social media sites, to help train bots that will ultimately make the clickworkers redundant. In this session, we look at some of the more positive synergies between AI and crowdsourcing, through the lens of the Covid crisis. Mega hackathons, such as the EUvsVirus hackathon with over 20,000 participants have proliferated under the current global lockdown, bringing with them new lessons for how AI can contribute to better organizing such large-scale collaborations between humans. At the scale of citizen-driven science for Covid, projects have emerged that combine AI and crowdsourcing to extract vital information from the flood of literature being produced or train algorithms that can analyse social media for important trends. As the EC launches a new initiative for grassroots crowdsourcing to tackle the SDGs, this panel will discuss how AI can help crowds achieve more, how crowds can help improve AI, and where this marriage of people and machines might have the most impact on Covid-related research and innovation.