On the Challenges and Opportunities in Generative AI
Abstract
The field of deep generative modeling has grown rapidly in the last few years. With the availability of massive amounts of training data coupled with advances in scalable unsupervised learning paradigms, recent large-scale generative models show tremendous promise in synthesizing high-resolution images and text, as well as structured data such as videos and molecules. However, we argue that current large-scale generative AI models exhibit several fundamental shortcomings that hinder their widespread adoption across domains. In this work, our objective is to identify these issues and highlight key unresolved challenges in modern generative AI paradigms that should be addressed to further enhance their capabilities, versatility, and reliability. By identifying these challenges, we aim to provide researchers with insights for exploring fruitful research directions, thus fostering the development of more robust and accessible generative AI solutions.
Cite
Text
Manduchi et al. "On the Challenges and Opportunities in Generative AI." Transactions on Machine Learning Research, 2025.Markdown
[Manduchi et al. "On the Challenges and Opportunities in Generative AI." Transactions on Machine Learning Research, 2025.](https://mlanthology.org/tmlr/2025/manduchi2025tmlr-challenges/)BibTeX
@article{manduchi2025tmlr-challenges,
title = {{On the Challenges and Opportunities in Generative AI}},
author = {Manduchi, Laura and Meister, Clara and Pandey, Kushagra and Bamler, Robert and Cotterell, Ryan and Däubener, Sina and Fellenz, Sophie and Fischer, Asja and Gärtner, Thomas and Kirchler, Matthias and Kloft, Marius and Li, Yingzhen and Lippert, Christoph and de Melo, Gerard and Nalisnick, Eric and Ommer, Björn and Ranganath, Rajesh and Rudolph, Maja and Ullrich, Karen and Van den Broeck, Guy and Vogt, Julia E and Wang, Yixin and Wenzel, Florian and Wood, Frank and Mandt, Stephan and Fortuin, Vincent},
journal = {Transactions on Machine Learning Research},
year = {2025},
url = {https://mlanthology.org/tmlr/2025/manduchi2025tmlr-challenges/}
}