CUbRIK

CUbRIK is a project that investigated ways to increase precision and relevance when artificial intelligence fails. In CUbRIK, I investigated the potentials of crowdsourcing for multimedia retrieval for machine learning, with a special emphasis on its external and internal validity and on its ethical implications. I was also the leader of the work package on Human Computation, which entailed managerial and organizational responsibilities. Findings related to this project have been published in conferences and journals, such as this crowdsourced creative commons dataset and this crowdsourcing procedure for non-obvious attributes.

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