From Data Scarcity to Data Care: Reimagining Language Technologies for Serbian and other Low-Resource Languages
NeutralArtificial Intelligence
- A recent study highlights the challenges faced in developing language technologies for Serbian and other low-resource languages, emphasizing the impact of historical and sociotechnical factors on AI advancements. The research, based on interviews with experts, reveals issues such as data bias and the prioritization of functionality over linguistic nuance in current AI models.
- Addressing these challenges is crucial for preserving the cultural and linguistic heritage of Serbian and similar languages, ensuring that AI technologies are inclusive and representative of diverse linguistic communities.
- The findings resonate with ongoing discussions in the AI field regarding the limitations of large language models, particularly their multilingual capabilities and the need for culturally specific data curation, which are essential for fostering equitable AI development.
— via World Pulse Now AI Editorial System






