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AI outputs are increasingly reflecting hidden human biases, revealing the need for decolonization in technology. The article emphasizes the importance of addressing power dynamics and cultural respect in AI development. It questions the historical preference for English as a marker of intelligence and its impact on societal behavior.
Research findings indicate a significant increase in bias within AI-generated content, particularly against minorities. The discussion highlights the complexity of bias tolerance among different socioeconomic groups and the challenges in addressing these issues within journalism and tech. A call for a more inclusive approach in the STEM workforce is made, emphasizing the need for equitable representation.
• AI-generated content shows a 40-60% increase in bias against minorities.
• Decolonization of AI requires addressing power dynamics and cultural respect.
The article discusses how AIGC has shown increased bias against minorities.
The article references LLMs in the context of bias in AI outputs.
The article highlights the prevalence of bias in AI-generated content and its implications.
The article references Kalika Bali's research work at Microsoft on gender bias in AI.
The article discusses OpenAI's ChatGPT in the context of bias in AI-generated content.
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