AI Scientist

A RecSys Paper for $20: Why We Must Build, Evaluate, and Govern Autonomous Recommender Systems Research Labs (AutoRecLabs)

Joeran Beel1,2, Bela Gipp3, Tobias Vente4, Moritz Baumgart1,3, Philipp Meister3 and Sinan Pourazari1 1 University of Siegen, Siegen, Germany2 Recommender-Systems.com, Düsseldorf, Germany3 University of Göttingen, Göttingen, Germany4 University of Antwerp, Antwerp, Belgium FRAME’26: Methodology First – Rethinking Research Assessment in RecSys Workshop, September 28, 2026, Minneapolis, Minnesota, USA. Abstract Recommender Read more…

By Joeran Beel, ago

AI4Research: An overview of tools for conducting research autonomously.

Until recently, AI systems were primarily used for narrow tasks such as analysing large datasets or identifying patterns in complex information. However, with large-language models (LLMs), we are approaching a new frontier: the full automation of the scientific process, from idea generation and literature review to experimental design, execution, evaluation, Read more…

By Moritz Baumgart, ago

Evaluating Sakana’s AI Scientist: Bold Claims, Mixed Results, and a Promising Future?

Abstract. Recently, Sakana.ai introduced the AI Scientist, which claims to automate the entire research lifecycle and conduct research autonomously. This is a concept we call Artificial Research Intelligence (ARI). Achieving ARI would be a major milestone toward Artificial General Intelligence (AGI) and a prerequisite to achieving Super Intelligence. The AI Read more…

By Joeran Beel, ago