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Economic assistance, Domestic --- -Food relief --- -Full employment policies --- -Nutrition policy --- -Poor --- -Disadvantaged, Economically --- Economically disadvantaged --- Impoverished people --- Low-income people --- Pauperism --- Poor --- Poor, The --- Poor people --- Persons --- Social classes --- Poverty --- Food policy --- Nutrition and state --- State and nutrition --- Social policy --- Economic policy --- Employment stabilization --- Unemployment --- Famine relief --- Food aid programs --- Food assistance programs --- Disaster relief --- Humanitarian assistance --- Public welfare --- Emergency food supply --- Anti-poverty programs --- Government economic assistance --- National service --- Grants-in-aid --- Employment --- -Government policy --- -Nutrition --- Economic conditions --- Food relief --- Full employment policies --- Nutrition policy --- Social Sciences and Humanities. Economics --- Government policy --- Nutrition --- Economic Conditions, Development and Structure --- Economic Policy --- Food --- -Employment --- Economic Policy. --- Disadvantaged, Economically

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Artificial intelligence and robotics (AI/R) have the potential to result in great change of livelihoods.While individual impacts of AI/R on, for instance, employment, have been subject to a lot of research,how AI/R may affect the poor is scarce. This paper aims to draw attention to how AI/R may impact thepoor and marginalized and highlights research needs. A thought experiment compares the futuresituation of the poor in an AI/R scenario to a scenario without AI/R. A framework is established thatdepicts poverty and marginality conditions of health, education, public services, work, small businessesincluding farming as well as voice and empowerment of the poor. This conceptual framework identifiespoints of entry of AI/R, and is complemented by a more detailed discussion of the way in which changesthrough AI/R in these areas may relate positively or adversely to the livelihood of the poor. This paperconcludes that empirical scenarios and modelling analyses are needed to better understand thedifferent components in the emerging technological and institutional AI/R innovations and identifyhow they will shape the livelihoods of poor households and communities. Keywords: artificial intelligence, robotics, research and development, marginality, relative deprivation