The recent review by Valerio Capraro and colleagues sheds light on the potential impacts of generative artificial intelligence (AI) on social equality across various domains, including work, education, healthcare, information, and misinformation. The study, published in PNAS Nexus, highlights the dual nature of AI, which can either alleviate or exacerbate existing socioeconomic inequalities. On one hand, AI can boost productivity, create new jobs, and offer personalized learning experiences. On the other hand, it can widen the digital divide, worsen health disparities, and aid the spread of misinformation. The authors emphasize that policymakers have a crucial role to play in ensuring that AI is used to promote equality, rather than perpetuate existing inequalities. They recommend a range of policies, including tax code changes, data unions, and anti-misinformation campaigns, to mitigate the negative consequences of AI. Ultimately, the decisions we make today about how to use and regulate AI will have far-reaching implications for generations to come.

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