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aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development
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will also contribute to or write research articles at an international level for peer-reviewed journals. You will be responsible for formally presenting your research and represent the research group
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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modern privacy-enhancing technologies (e.g. based upon synthetic data or using formal differential privacy guarantees) impact research integrity and reproducibility. This is an exciting line of research
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already been considered. For informal enquiries, please contact Ruby Ramsamy at ocdem.personnel@ndm.ox.ac.uk . Please quote the job reference (180450) on all correspondence. As part of your formal online
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, Oxford. For informal enquiries, please contact Ruby Ramsamy at ocdem.personnel@ndm.ox.ac.uk . Please quote the job reference ( 179168 ) on all correspondence. As part of your formal online application, you