Multilingual AI has gained significant attention and popularity in recent years. These large language models, such as OpenAI’s GPT-3, have shown impressive capabilities in understanding and generating human-like text across multiple languages. However, as with any advanced technology, concerns about safety and vulnerabilities arise. In this article, we will explore the question: Is multilingual AI truly safe? We will delve into the potential vulnerabilities of large language models in low-resource settings and shed light on the associated risks.
Understanding Multilingual AI:
Multilingual AI refers to artificial intelligence models that can comprehend and generate text in multiple languages. These models are trained on vast amounts of data from various languages, enabling them to understand and respond to queries in different linguistic contexts. The ability to communicate seamlessly across languages has made multilingual AI a valuable tool in various domains, including translation services, customer support, and content generation.
The Vulnerabilities in Low-Resource Settings:
While multilingual AI has shown remarkable performance in