[Francis Crawley]

We are pleased to announce a session on ‘Harnessing Artificial Intelligence (AI): Digital Strategies for Addressing Climate-related Health Crises, including Mental Health Support and Infodemics’ to be held during the <b style=”font-family: inherit; font-size: inherit; color: var(–wp–preset–color–dark);”>Bonn AI and
Climate Expert Meeting 2024 on Tuesday 2 July 2024, from 12:15 – 13:00 CEST (Paris time), at the Wissenschaftszentrum in Bonn, Germany. This session explores the role of artificial intelligence (AI) in improving crisis management, mental health support, and tackling infodemics. Experts from the United Nations University system, UN agencies, and the International Science Council’s Committee on Data (CODATA) will discuss AI’s benefits alongside the ethical challenges in enhancing community resilience and health outcomes in crises situations related to climate events impacting health. The discussion will build on key insights and recommendations from ongoing work by these organizations in addressing the needs of scientists, policymakers, practitioners, and affected individuals and communities involved in crisis management and humanitarian response.

The session considers the use of reliable data
and digital tools (e.g., AI) to transform science and policy when addressing
health-crisis management strategies while supporting the psychosocial
well-being (mental health support services) of those impacted. In this context
it considers the framework for dealing with infodemics and misinformation. Consideration
will be given to the work of CoARA-ERIP in reforming how digital research is
valued and positioned to support societal needs.

To join the session please use the following Zoom Meeting link: https://ehs-unu-edu.zoom.us/j/99652965625?pwd=O4yyHV5ESnktjrYX7dc7TMTFCa5qIL.1; Meeting ID: 996 5296 5625; Passcode: 958889.

unu.edu

Bonn AI & Climate 2024

UNU-EHS, in collaboration with UNFCCC Technology Mechanism, is organizing an Expert Meeting on AI & Climate.

Bonn-AI-Health-Session-24-07-01_7.0.pdf 129 KB PDF - Click to view

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