The divide between academic researchers and profit-driven tech companies in accessing expensive AI technology may lead to biased AI development leaving marginalized populations behind.
Hurdles in AI development include potential biases in data collected from specific populations, affecting accurate diagnoses and health outcomes, emphasizing the need for ethical training methods.
The NAIRR pilot by the National Science Foundation aims to address biases in AI by promoting data inclusivity and ethical considerations in academic research for fair AI development.
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