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Latest Contents
Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics applications
The widespread adoption of AI-powered business analytics applications has revolutionized decision-making, yet it has also introduced significant chal…
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The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning
arXiv:2603.15914v1 Announce Type: new Abstract: AI tools and agents are reshaping how researchers work, from proving theorems to training neural net…
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Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?
We argue why interpretability should have primacy alongside empiricism for several reasons: first, if machine learning (ML) models are beginning to r…
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