
What happened
A psychology professor at Northeastern University has challenged the notion that religion can make AI more moral by pointing out that the real question is not whether AI can be virtuous, but who determines the values embedded in AI systems that influence billions of people's decisions.
Why it matters
In a 2025 global Ipsos survey, 53% of respondents said AI has already changed their lives, while two-thirds expect it to change society even further in the coming years. This means the moral frameworks and assumptions built into AI systems now shape major decisions across societies, making it essential that AI developers work with faith communities to ensure their systems reflect shared human values.
What to watch
The World Artificial Intelligence Conference in Shanghai on July 18 brought attention to the need for AI developers to collaborate with faith communities to embed shared values into AI systems.
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The debate over whether religion can make AI more moral has often focused on whether artificial systems can develop genuine virtue through spiritual mechanisms. However, the core issue is not whether AI can replicate human moral transformation through spiritual practice—which is impossible given that AI lacks a body, consciousness, and emotional capacity. Instead, the critical question concerns human agency: who decides what values and moral assumptions are encoded into the AI systems that now influence major decisions across societies.
The scale of this influence is already substantial. According to a 2025 global Ipsos survey, 53% of respondents report that AI has already changed their lives, and two-thirds expect further societal transformation in coming years. This widespread integration of AI into decision-making—across healthcare, criminal justice, hiring, lending, and public policy—means that the moral traditions and assumptions embedded in these systems by their developers will shape outcomes for billions of people. Faith communities, which have historically preserved and transmitted moral wisdom across generations, represent repositories of ethical frameworks that could inform how developers choose to design and deploy AI systems.
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