Categories: AI/ML News

Can we trust AI? Researchers offer framework for tackling this question

An international team of researchers has put forward a framework that it argues can be used to answer one of the biggest questions facing artificial intelligence (AI) technologies: can AI be trusted? The framework offers an organized approach for tackling a complex subject that draws on a wide variety of research disciplines.

Tackling the ethical dilemma of responsibility in large language models

Researchers at the University of Oxford, in collaboration with international experts, have published a new study in Nature Machine Intelligence addressing the complex ethical issues surrounding responsibility for outputs generated by large language models (LLMs).

May 6, 2023

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LaundroGraph: Using deep learning to support anti-money laundering efforts

In recent years, deep learning techniques have proved to be highly valuable for tackling countless research and real-world problems. Researchers at Feedzai, a financial data science company based in Portugal, have demonstrated the potential of deep learning for the prevention and detection of illicit money laundering activities.

November 25, 2022

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Open-source framework goes beyond language to enhance multimodal AI training capabilities

EPFL researchers have developed 4M, a next-generation, open-sourced framework for training versatile and scalable multimodal foundation models that go beyond language.

January 8, 2025

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AI Generated Robotic Content