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In our second Digital Dialogue on Artificial Intelligence, the panelists will discuss what International Civil Society Organizations should be doing to preserve their mandates in the face of the ever-increasing use of AI. When new generative AI products were put on the market last year, it was duly noted that the workforce for this achievement were mainly underpaid gig workers in Kenya and other countries of the global South. But is that the end of the story concerning AI and poverty? The consulting industry has no doubts: « In the new study ‘Notes from the AI frontier: Applying AI for social good’, the McKinsey Global Institute examined how AI can be used in the fight against hunger and for better health, as well as in issues such as education, security and justice, equality and integration. Based on around 160 societal and social use cases, the study concludes that AI capabilities such as machine vision or natural language processing can bring about far-reaching improvements in all 17 UN Sustainable Development Goals. » In view of so much enthusiasm, we asked ChatGPT what are the risks for AI aggravating poverty in our societies? ChatGPT provided an extensive answer: « AI has the potential to exacerbate poverty in these ways: 1. Job Displacement 2. Wage Inequality 3. Access Disparities 4. Bias and Discrimination 5. Concentration of Wealth To mitigate these risks, policymakers and stakeholders must work to ensure equitable access to AI education and opportunities, regulate AI applications to prevent discrimination, and develop social safety nets to support workers affected by AI-driven job changes. » With opportunities and challenges clearly outlined by others, the question arises what is left for CSOs? Are they just bystanders, there to sound the alarm, and focusing on advocacy or is there room for creativity, for using AI to promote social justice and to actively combat poverty and marginalisation?