Ethical Challenges in Natural Language Processing: Samia Touileb (University of Bergen)
Автор: SFI Visual Intelligence
Загружено: 2026-01-13
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Samia Touileb, Associate Professor in Natural Language Processing at the University of Bergen and SFI MediaFutures, gave a tutorial on "Ethical Challenges in Natural Language Processing" at the NLDL 2026 Winter School in Tromsø, Norway.
For more information about the Northern Lights Deep Learning Conference, visit www.nldl.org
Abstract:
While AI systems have shown remarkable progress in recent years they raise various ethical challenges. In this tutorial, we will explore this ethical dimension with a particular focus on bias, fairness, and alignment in Natural Language Processing (NLP).
The tutorial will combine theoretical discussions with practical examples. We will discuss the main sources of bias in NLP systems, existing frameworks for fairness, safety concerns, and current debates about alignment. We will have a practical, hands-on, session to demonstrate how bias and other safety concerns manifest in modern NLP models, and how to critically evaluate them and reduce them.
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