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: Characterizing human-AI collaboration for bias mitigation – Developing a conceptual framework of responsible human-AI collaboration to better understand the role of human oversight in bias mitigation
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team of post-doctoral researchers, PhD and master students working on the evolution of social behaviours and life history patterns in social animals, supported by laboratory technicians. Especially now
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large number of distinct but interacting components. To address these challenges, this project aims to contribute to the development of a control theory that is inherently modular, i.e., that allows
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international and diverse environment and to acquire valuable research experience at a top-ranked European university. The successful candidate will have the opportunity to develop their research and academic
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Union) shaping and being shaped by these governance efforts (see below). Moreover, this project will be empirically driven while integrating normative research to understand the ideals underlying AI development
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to the development of a control theory that is inherently modular, i.e., that allows for considering components independently. Inspired by so-called contract theories from computer science, such modular control theory
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). Moreover, this project will be empirically driven while integrating normative research to understand the ideals underlying AI development and governance and evaluate the fit between those ideals and existing
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university. The successful candidate will have the opportunity to develop their research and academic writing skills, undertake archival work in Latin America, present their research at national and
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. FEB's programmes, academic staff and research do well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position
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enables the Faculty to assess performance against the highest international standards. It also creates an exciting environment of continuous improvement. FEB's programmes, academic staff and research do