At a panel in Davos earlier this year on “AI for Humanitarian and Development Applications”, the moderator began by asking our overall perspective on the state of the world and AI’s current and potential contributions. A fellow panelist replied first “I am very optimistic!”; however, when my turn came I said I did not share that view. Instead, I expressed my anger at the state of the world, and frustration at the mainstream ways in and purposes for which AI was being developed. A few months after Davos came the 30th Anniversary of the Rwandan genocide, which, due in part to the Internet’s rise at the same time, unfolded before the world’s eyes, and yet no action was taken to stop it for 100 days. The unmet promise of the Internet’s power for positive change established a pattern that has only repeated in years since, with mis- and disinformation campaigns facilitated or accelerated by digital technologies, now including AI. While the overall effect of the Web and of the more recent ‘Data Revolution’ is a classic story of a “glass half empty and half full”, it is fair and safe to argue that the glass should be much fuller: the world of 2024 should be much safer and fairer, more empathetic, sustainable and hospitable than it is; and that AI’s current and future contribution should be much more positive than it is on track for currently.
Anger and frustration can fuel despair and cynicism, or determination and commitment; renouncement or resolve. I am trying to stay on the latter path, led by one question: What can I do, and what can we do as an organization, to make data and AI forces of positive social change, towards a less violent, less polarized, less fragmented, more equal, more fraternal, more sustainable world? Key enabling factors and positive outcomes are well known from the lessons of past socio-technological revolutions. They include intentional inclusion, participatory innovation, ‘popular’ education, compassion, ecosystems thinking and change, and, fundamentally, instilling and nurturing a humanistic vision and values as the ultimate end goal and yardsticks of every action. This vision and values are those of ‘‘Human AI’ as described in a chapter of a book published by UNESCO and MILA titled “AI for the SDGs—And Beyond? Towards a Human AI Culture for Development and Democracy”.
This is difficult to achieve, but not impossible. Under the right conditions, AI and data can promote more rational and accountable decisions and actions in key areas from public health, food security, climate mitigation, poverty alleviation, disaster management, gender equality, social cohesion, and more. One concrete example in our portfolio of projects is the OPAL for Humanitarian Action (OPAL4HA) platform – developed with support from the World Food Programme, the Patrick J. McGovern Foundation, and the Belmont Forum – which seeks to help better predict and respond to the effects and needs of people after floods in Senegal, including using Generative AI. OPAL4HA reflects some of these ‘right conditions’ and DPA’s priorities for the future: one, ensuring the security and agency of data sets and subjects through privacy-preserving technologies, two, being demand-driven and context-sensitive through systematic user needs assessment and civic engagement, and three, aiming for sustainability, scalability, replicability, and ultimately greater impact through ‘productification’ of our work.
As we look ahead to the second half of 2024 and into 2025, we will continue to work across our Thematic Programs on confronting mis- and disinformation, addressing humanitarian crises, fighting for gender equality, and producing data and technology solutions guided by these objectives and principles, as we strive to contribute to making data and AI change the world for the better.
Emmanuel Letouzé, PhD
Director and Co-Founder
including a $400,000 USD grant from
(Reports, Articles, Policy Briefs, Handbooks, Journalistic Investigations, etc.)
January 19, 2023. Lithuania.
Speaker: Emmanuel Letouzé.
March 24, 2023. Online.
Speakers: Julie Ricard, Ivette Yáñez.
April 25-26, 2023. Online.
Speakers: Anna Spinardi, Zinnya del Villar.
June 29, 2023. Luxembourg.
Speakers: Talla Ndiaye, Nigora Isamiddinova.
January 19, 2023. Lithuania.
Speaker: Emmanuel Letouzé.
March 24, 2023. Online.
Speakers: Julie Ricard, Ivette Yáñez.
April 25-26, 2023. Online.
Speakers: Anna Spinardi, Zinnya del Villar.
June 29, 2023. Luxembourg.
Speakers: Talla Ndiaye, Nigora Isamiddinova.
January 17 & February 1, 2023. Online.
Partner: GIZ Data Lab.
March 28, 2023. United Kingdom.
Partners: University of Surrey, Economic and Social Research Council (ESRC).
July 25, 2023. Dakar, Senegal.
Partners: Ministère de la Communication, des Télécommunications et de l’Economie Numérique du Sénégal, Smart Africa, GIZ on behalf of the Federal Ministry for Economic Cooperation and Development (BMZ).
November 8-9, 2023. Bangkok, Thailand. Partner: UN Women. Learn More
January 17 & February 1, 2023. Online.
Partner: GIZ Data Lab.
March 28, 2023. United Kingdom.
Partners: University of Surrey, Economic and Social Research Council (ESRC).
July 25, 2023. Dakar, Senegal.
Partners: Ministère de la Communication, des Télécommunications et de l’Economie Numérique du Sénégal, Smart Africa, GIZ on behalf of the Federal Ministry for Economic Cooperation and Development (BMZ).
November 8-9, 2023. Bangkok, Thailand. Partner: UN Women. Learn More
worked at DPA in 2023, 44% were men; and 56% were women
Authors: Ivette Yáñez Soria, Anthony Deen,
Amanda Quitério, Emmanuel Letouzé
Design: Angela Paola Caile, Ivette Yáñez Soria
Photography Credits: 18-55 Magazine, Andrew Heald, Hessam nabavi, Mika Ruusunen, Azamat Zhanisov on Unsplash
Suggested citation: Data-Pop Alliance (DPA),
(2024). Overview and Outlook 2023-2024. Annual Report.
https://datapopalliance.org/annual-report-overview-and-outlook-2023-2024
Copyright Data-Pop Alliance 2024.
All rights reserved.