4 papers
Lift What You Can: Green Online Learning with Heterogeneous Ensembles
Kirsten Köbschall, Sebastian Buschjäger, Raphael Fischer +2
Ensemble methods for stream mining necessitate managing multiple models and updating them as data distributions evolve. Considering the calls for more sustainability, established m…
Benefits and Limitations of Using GenAI for Political Education and Municipal Elections
Raphael Fischer, Youssef Abdelrahim, Katharina Poitz
Generative artificial intelligence (GenAI) presents both challenges and opportunities across all areas of education. Facing the municipal elections in North Rhine-Westphalia, the Y…
Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
Raphael Fischer
Although machine learning (ML) and artificial intelligence (AI) present fascinating opportunities for innovation, their rapid development is also significantly impacting our enviro…
Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development
Raphael Fischer, Magdalena Wischnewski, Alexander van der Staay +3
As artificial intelligence (AI) becomes integral to economy and society, communication gaps between developers, users, and stakeholders hinder trust and informed decision-making. H…