Wikimania 2024

Keynote: Benefits, Challenges, and Approaches to Large Language Models in the Context of Language Diversity
08-09, 17:15–17:40 (Poland), Kyiv Auditorium (interpretation)
Language: English

This talk explores the multifaceted impact of large language models on linguistic diversity. It highlights the benefits, such as enhanced translation accuracy and support for underrepresented languages, alongside challenges like bias and ethical considerations. Approaches to leveraging these models for preserving and promoting language diversity will also be discussed, offering insights into creating more inclusive AI systems.


Session recording: https://youtu.be/fRFuWtDKxwM?list=PLhV3K_DS5YfJ1xyY0LNDNX3RKyRQEXOdB&t=31083


How does your session relate to the event themes: Collaboration of the Open?*

This talk explores the multifaceted impact of large language models on linguistic diversity. It highlights the benefits, such as enhanced translation accuracy and support for underrepresented languages, alongside challenges like bias and ethical considerations. Approaches to leveraging these models for preserving and promoting language diversity will also be discussed, offering insights into creating more inclusive AI systems.

What is the experience level needed for the audience for your session?*

Everyone can participate in this session

How do you plan to deliver this session?*

Onsite in Katowice

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See also: Presentation file

A philosopher and researcher specializing in the development of new technologies, particularly green and sustainable technology, humanoid artificial intelligence, social robots, and wearable technology. She earned her Ph.D. in Philosophy in 2014 from the Institute of Philosophy at the University of Warsaw. She is also an alumna of The New School for Social Research in New York, where she participated in research on identity in virtual reality, with a specific focus on Second Life.