AI for Social Good: who won the Call for Visionary Ideas?
The proposals received were among the most varied: from the application of artificial intelligence to make the culture more accessible, to the algorithms to create customized educational paths for students, to health services closer to the needs of the individual, to IoT solutions. to make cities increasingly connected and secure.
But what are the four artificial intelligence projects b> that have been awarded in the areas of Health, Art and Culture, Education and City?
The final selection took place on November 16th at Futureland , the ideal stage to present visionary and innovative solutions. During this two-day event organized by Talent Garden in Milan, various international speakers told how the emerging technologies will contribute to radically transform the our future, introducing changes that can not be ignored.
Twelve semi-finalist ideas were presented at the selection event, three by area, evaluated by a panel of experts composed of: Guido Boella b>, Professor of the University of Turin, Marco Aldinucci b >, Professor of the University of Turin, Roberta Cocco b>, Councilor for digital transformation and civic systems of the City of Milan, Marco Bani b>, formerly Head of the Technical Secretariat and the Office of Public Relations at AgID, Stefano Gurciullo b>, partner of Redstone (VC of Berlin focused on projects in AI and Big Data) and Marco Zappalorto b>, CEO of Nesta Italia. Finalist pitches were assessed on the basis of the following criteria: desired and potential impact of the solution, technical feasibility of the project and level of innovation introduced.
The finalists who won the final prize were:
Bubbles b>: Education category. A cross-platform application to defeat fake news and miseducation on news events. When a newspaper article is opened, Bubbles using AI algorithms proposes a list of contents related to the same topic, but which adopt a different point of view and opinion.
Falleng b> : Healthcare category. A low-cost wearable device that uses a machine learning algorithm to quantify and monitor the risk of falling elderly people.
GrandTour b>: category Art and Culture. The Grand Tour was a long journey of cultural and personal training that young European aristocrats began to learn about the beauties and customs of continental Europe. Travelers’ reports gave birth to a true literary genre, the “travel literature”. The GrandTour idea is to use Linked Data technologies to build a knowledge base powered by the “travel literature” that supports the traveler in defining his own itinerary, both thanks to the information extracted from the texts and structured semantically, and thanks to the direct reading of texts that speak of those places.
Kimap b>: City category. A technology based on AI algorithms and developed for mapping and navigating paths accessible to individuals with motor disabilities. The aim is to generate and release reliable and continuously updated data on the quality of roads and sidewalks in urban areas.
In the coming months we will launch the event b> Artificial Intelligence & amp; Community b> to discuss the potential potential of artificial intelligence as a tool to enable and make communities more efficient. We will explore the path that the winners of the award have undertaken in recent months and through practical workshops we will use the collective intelligence present in the room to help them take the steps necessary to carry out real experiments in their own territory. The experimentation aims, on the one hand, to reach new users and improve the solution, on the other to assess whether the project has an effective impact on the communities and if so, what kind of impact and to what extent. With this project we set ourselves the ultimate goal of facilitating experiments that can make it possible to test the solution with a larger pool of beneficiaries b> and, hopefully, favor the subsequent dissemination b> of the product / service ended up reaching public and wider impacts.