Paolo Ardoino advocates user control over AI, challenging big tech’s influence on thoughts.
LLMs reflect creators’ ideologies, showing varied biases in different languages and regions.
Tether’s Local AI kit offers a private, decentralized alternative to centralized AI platforms.
Researchers are raising concerns about ideological bias in large language models (LLMs). These models, widely used for tasks like summarization and question answering, reflect their creators’ worldviews. A new study from Ghent University shows how LLMs have different ideological stances based on language, region, and training data.
The study explored ideological differences in LLM responses in English and Chinese. Researchers asked the models to describe historical figures, analyzing the moral judgments in each response. They observed that LLMs respond differently based on language and geographic training. This shows how Western and non-Western LLMs handle sensitive topics, including global conflicts and political figures.
Ardoino Calls for User Control of AI
Paolo Ardoino, CEO of Tether, recently weighed in on this issue. In a post, Ardoino stressed the need for users to cont…
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