An executive order mandates government AI systems to be ideologically neutral and 'truth-seeking'. AI models should not support any ideological dogmas, especially concerning diversity, equity, and inclusion. The White House plans to provide guidance within 120 days on maintaining this neutrality. However, achieving truly unbiased AI is challenging, as it relies heavily on subjective human judgment during training. The process of defining neutrality varies by tech company and client expectations, complicating bias removal efforts.
President Donald Trump's executive order requires that AI models used by the government be ideologically neutral and 'truth-seeking', avoiding any form of bias. This initiative aims to combat 'woke' influences in AI.
Achieving true neutrality in AI is a significant challenge, as it depends on subjective human judgment during the training process, leading to variable outcomes based on the contractors' decisions.
Tech companies play a crucial role in determining what is considered sensitive or neutral, with the definition of 'neutrality' being left to the discretion of their customers.
Reinforcement learning from human feedback is essential for AI training, but it introduces complexities in defining ambiguous topics cleanly in code, complicating efforts to remove bias.
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