Research Group Ben Lange
Ben Lange
leads the MCML Junior Research Group 'Ethics of Artificial Intelligence' at LMU Munich.
He and his team conduct research into fundamental and application-related ethical issues relating to AI and ML. They deal with fundamental and practical questions of AI ethics from a philosophical-analytical perspective. By organizing conferences, workshops and panel discussions, the group aims to enter into an interdisciplinary exchange with researchers from philosophy and other disciplines. An important focus here is also communication with the wider public about the moral and social aspects of AI. Another important task of the JRG is the transfer of philosophical-ethical findings and results into practice, for example through collaborations and dialogue with industry and society.
Team members @MCML
Publications @MCML
Position: Bayesian Deep Learning in the Age of Large-Scale AI.
41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, Jul 21-27, 2024. URL.
Abstract
In the current landscape of deep learning research, there is a predominant emphasis on achieving high predictive accuracy in supervised tasks involving large image and language datasets. However, a broader perspective reveals a multitude of overlooked metrics, tasks, and data types, such as uncertainty, active and continual learning, and scientific data, that demand attention. Bayesian deep learning (BDL) constitutes a promising avenue, offering advantages across these diverse settings. This paper posits that BDL can elevate the capabilities of deep learning. It revisits the strengths of BDL, acknowledges existing challenges, and highlights some exciting research avenues aimed at addressing these obstacles. Looking ahead, the discussion focuses on possible ways to combine large-scale foundation models with BDL to unlock their full potential.
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