We published a review article that aims to present a literature overview on collecting and employing human knowledge to improve and evaluate the understandability of machine learning models through human-in-the-loop approaches.
Tag: AI
EXP-Crowd: Gamified Crowdsourcing for AI Explainability
The spread of AI and black-box machine learning models makes it necessary to explain their behavior. Consequently, the research field of Explainable AI was born. The main objective of an Explainable AI system is to be understood by a human as the final beneficiary of the model. In our research we just published on Frontiers … Continue reading EXP-Crowd: Gamified Crowdsourcing for AI Explainability