Forecasting the future: AI in early warning systems (Afternoon Workshop)
6The transformative power of Artificial Intelligence (AI) is reshaping the landscape of innovation, offering unprecedented opportunities to enhance efficiency and address complex challenges. In the context of the Early Warnings for All (EW4All) Initiative, the integration of AI stands as a significant yet mainly underexplored avenue for enhancing the speed, effectiveness and reach of early warning systems. This workshop, organized by the AI for Early Warnings for All Sub-Group, seeks to address this gap by presenting existing AI use cases and their potential to enhance the various parts of multi-hazard early warning systems. This includes improving disaster risk knowledge, advancing monitoring, and forecasting capabilities, optimizing warning dissemination and communication, and enhancing preparedness and response measures.
The workshop also aims to foster dialogue and collaboration among stakeholders, including donors, present gaps for the achievement of EW4All, encourage new partners to join and make commitments to innovative AI solutions that could contribute to the advancement of the initiative. This workshop presents an opportunity to engage countries ready to pilot these innovative AI applications, marking a step towards the practical implementation of AI in early warning systems.
Speakers:
Ko Barrett
Deputy Secretary-General
World Meteorological Organization (WMO)
Cosmas Luckyson Zavazava
Director of the Telecommunication Development Bureau (BDT)
International Telecommunication Union (ITU)
Juan Lavista Ferres
Corporate Vice President & Chief Data Scientist
Microsoft AI for Good Lab
Inbal Becker-Reshef
Director
NASA Harvest
Loretta Hieber-Girardet
Chief, Risk Knowledge, Monitoring and Capacity-Development Branch
United Nations Office for Disaster Risk Reduction (UNDRR)
Ayelet Benjamini
Engineering Director
Google
Grey Nearing
Senior Research Scientist
Google
Amy Michaels
Principal Product Manager
Microsoft
Bobby Reiner
Associate Professor
University of Washington
Andrew Zolli
Chief Impact Officer
Planet
Solomon Kassa
Technology strategist and consultant
Kevin White
Senior Director of Data Science
Microsoft AI for Good LabSpeaker(s)
Bolívar Erazo
Executive Director
National Institute of Meteorology and Hydrology (INAMHI), Ecuador
Chris Emberson
Expert
International Telecommunication Union (ITU)
Paul Hamilton
GIS Expert
International Telecommunication Union (ITU)
Jon Cox
Scientific Officer, Science and Innovation
World Meteorological Organization (WMO)
Kirsty Grant
Marketing Director for Public Safety Solutions
Everbridge
Robin Brinkworth
Senior Product Manager, Everbridge
Everbridge
Lisa Aldera
Software Engineer Intern
Everbridge
Pierre-Philippe Mathieu
ESA Implementation Manager
European Space Agency (ESA)
Violet Su
Business Development Manager
Seeed Studio
Bapon Fakhruddin
Water and Climate Leadership
Green Climate Fund
Misganaw Teshager Abeje
Assistant Professor
Bahir Dar University
Disaster Risk Management Consultant
Vanessa Gray
Head, Environment and Emergency Telecommunications Division
International Telecommunication Union (ITU)
The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) – the UN specialized agency for information and communication technology – in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.
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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.