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In a technology context dominated by data-intensive AI systems, the consequences of data processing are no longer restricted to the well-known privacy and data protection issues but encompass prejudices against a broader array of fundamental rights. Moreover, the tension between the extensive use of these systems, on the one hand, and the growing demand for ethically and socially responsible data use on the other, reveals the lack of a framework that can fully address the societal issues raised by AI.
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The recent turn in the debate on AI regulation from ethics to law, the wide application of AI and the new challenges it poses in a variety of fields of human activities are urging legislators to find a paradigm of reference to assess the impacts of AI and to guide its development. This cannot only be done at a general level, on the basis of guiding principles and provisions, but the paradigm must be embedded into the development and deployment of each application. To this end, this chapter...
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Having discussed in previous chapters the valuable contribution that an assessment model encompassing human rights, ethical and societal issues can provide to the development and regulation of AI, these concluding remarks address some of the challenges we face in implementing this approach in tangible reality. The focus on future global regulatory scenarios in the field of AI shows how the holistic HRESIA model, which includes the contextualisation of human rights and socio-ethical values in...
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Although the debate on AI regulation is still fluid at a global level and the European initiatives are in their early stages, three possible approaches to grounding AI regulation on human rights are emerging. One option is a principles-based approach, comprising guiding principles derived from existing binding and non-binding international human rights instruments, which could provide a comprehensive framework for AI. A different approach focuses more narrowly on the impacts of AI on...
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The extensive and frequently severe impact of AI systems on society cannot be fully addressed by the human rights legal framework. Many issues involve community choices or individual autonomy requiring a contextual analysis focused on societal and ethical values. The social and ethical consequences of AI represent a complementary dimension, alongside that of human rights, that must be properly investigated in AI assessment, to capture the holistic dimension of the relationship between humans...
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This exploratory mixed-methods study investigates the factors that shape where teachers want to work in Sierra Leone. We identify five dominant factors: monetary incentives, school conditions, opportunities for professional development and support, school location, and relationships with the school and the community. Importantly, these factors combine to push and pull teachers to different locations. Moreover, the factors interact with individual teacher characteristics such as gender,...
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Data can significantly improve decision-making and allow for prioritizing interventions to benefit the most vulnerable populations. That’s why the ministry of Education in Sierra Leone is working with Fab Inc. to develop a web-based data tool that helps estimate and prioritize where new schools are really needed.
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