Cultural biases in large language models (LLMs) have been found to surface easily in everyday use, with 86.1% of incidents arising from a single prompt, as per the Singapore AI Safety Red Teaming Challenge in late 2024. Gender bias was the most prevalent, followed by race/religious/ethnicity, geographical/national identity, and socio-economic biases, with regional languages showing higher bias manifestation compared to English. The research highlighted the need for improved AI safety measures, particularly in non-English contexts, and underscored the importance of human oversight in AI-assisted creative processes for marketers and advertisers targeting diverse Asian markets.
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Two men charged over bail for housebreaking syndicate member, who absconded
Two men, Singaporean Wilson Ang and Malaysian Wai Kei Fung, have been charged in connection with the bail of Long Zhihua, a Chinese national involved in a significant jewellery theft in Singapore. Long, who absconded after being released on bail, had pleaded guilty to stealing S$570,000 worth of jewellery, while Ang faces charges for false police reporting and acting as an errant bailor. Want More Context? 🔎
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