Article

The Sociolinguistic Experience of Meta-AI’s Vernacular Modification in Eastern Indonesian Settings Reveals Lexical Obstacles and Ethical Puzzles

ÛThis article examines Meta-AI's sociolinguistic challenges on WhatsApp through research-based analysis of its limitations in adapting lexicon and precise ethical practices in intercultural communication. The study demonstrates how Meta-AI system fails to read truncated vernacular speech patterns (“kenapa” → “enapa”) while missing customized slang (“puki”) used specifically in Maluku, North Maluku and East Nusa Tenggara regions to show fundamental limitations in error recognition capabilities and contextual understanding.

Categories:
Artificial Intelligence
Education and Learning Technologies
IoT
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5 Reasons Why You Need To Automate Your Dynamic Application Security Testing [2022]

You don’t need to be a cybersecurity expert to know that the world of application security is changing at an alarming pace. The tools and techniques that attackers use are becoming more sophisticated, and it’s difficult for even the most well-resourced organizations to keep up with them.

Categories:
Security
157 Views