Old poison in new bottles

How do we stop AI-generated ‘poverty porn’ fake images?

Reda SadkiArtificial intelligence, Global health

There is an important and necessary conversation happening right now about the use of generative artificial intelligence in global health and humanitarian communications. Researchers like Arsenii Alenichev are correctly identifying a new wave of “poverty porn 2.0,” where artificial intelligence is used to generate stereotypical, racialized images of suffering—the very tropes many of us have worked for decades to banish. The alarms are valid. The images are harmful. But I am deeply concerned that in our rush to condemn the new technology, we are misdiagnosing the cause. The problem is not the tool. The problem is the user. Generative artificial intelligence is not the cause of poverty porn. The root cause is the deep-seeded racism and colonial mindset that have defined the humanitarian aid and global health sectors since their inception. This is not a new phenomenon. It is a long-standing pattern. In my private conversations with colleagues and researchers …

An AI-generated podcast dialogue exploring The Geneva Learning Foundation’s progress in 2024

A generative AI podcast dialogue exploring The Geneva Learning Foundation’s progress in 2024

Reda SadkiGlobal health

This experimental podcast, created in collaboration with generative AI, demonstrates a novel approach to exploring complex learning concepts through a conversational framework that is intended to support dialogic learning. Based on TGLF’s 2024 end-of-year message and supplementary materials, the conversation examines their peer learning model through a combination of concrete examples and theoretical reflection. The dialogue format enables exploration of how knowledge emerges through structured interaction, even in AI-generated content. Experimental nature and limitations of generative AI for dialogic learning This content is being shared as an exploration of how generative AI might contribute to learning and knowledge construction. While based on TGLF’s actual 2024 message, the dialogue includes AI-generated elaborations that may contain inaccuracies. However, these limitations themselves provide interesting insights into how knowledge emerges through interaction, even in artificial contexts. You can read our actual 2024 Year in review message here. Pedagogical value and theoretical implications of a …