

The Long Shadow of AI, with Madhumita Murgia
Mar 22, 2024
Madhumita Murgia, AI Editor for The Financial Times and author of "Code Dependent", joins Carl Miller, co-founder of the Centre for the Analysis of Social Media at Demos. They dive into the unforeseen consequences of AI on society, tackling issues from widening economic divides to AI's impact on healthcare. The conversation highlights the need for understanding local contexts in AI implementations and critiques the dependency of governments on big tech, raising important questions about accountability and the human side of technology.
AI Snips
Chapters
Books
Transcript
Episode notes
Predictive Policing Backfires
- Amsterdam used AI to predict future criminals among children, aiming to provide early support.
- The program had the opposite effect, stigmatizing children and leading to self-fulfilling prophecies.
Ineffective Pregnancy Prediction
- In Salta, Argentina, an AI system was developed to predict teenage pregnancies.
- The project yielded no benefits for the targeted families; only the developers profited.
Overlooking Basic Needs
- Sometimes, simple solutions are better than complex technological ones.
- In Salta, basic needs like sanitation, nutrition, and education were neglected in favor of an AI system.