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To Make AI Morally Good, Tech Companies Are Turning to Religion. but Some Say It Isn't That Simple
Tech companies are increasingly turning to religion for guidance on developing ethical AI models LOS ANGELES (AP) -- As tech companies race to build the most powerful artificial intelligence, some are also asking how to teach a chatbot right from wrong. Their answer? Religion. "These are not
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AI companies turn to religion for moral guidance, but experts warn of oversimplification
As technology companies focus on developing powerful artificial intelligence, they are increasingly seeking religious guidance. Executives are collaborating with philosophers and faith leaders to navigate ethical challenges. Many warn that simplifying religion into rules may ignore its cultural
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Tech companies turn to religion to make AI moral, but it's not that simple - The Korea Times
Paolo Carozza, a member of the independent Meta Oversight Board, warned that combining traditions in AI could homogenize them rather than allow them to change organically through interaction. LOS ANGELES -- As tech companies race to build the most powerful artificial intelligence, some are also
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Major AI companies including Anthropic, OpenAI, and Meta are consulting religious leaders to develop morally good AI models. But scholars caution that treating religion as extractable moral principles risks distorting diverse traditions and ignoring the cultural complexities inherent in faith systems.
As the race to build powerful artificial intelligence intensifies, tech companies turn to religion for answers on teaching AI systems right from wrong. Anthropic co-founder Chris Olah articulated this approach at the Vatican earlier this year, stating that questions about AI ethics are not ones a lab can answer but rather issues that faith traditions have carried for millennia
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. This turn toward religion in AI reflects a broader recognition that developing morally good AI models requires input beyond technical expertise. Companies like Anthropic, OpenAI, Meta, Google, Amazon, and Microsoft are now actively engaging with philosophers and faith leaders to navigate the ethical challenges posed by increasingly powerful AI systems2
.The executives' philosophy behind this religious outreach centers on using diverse moral guidance for AI to create systems that reflect broad human values. OpenAI CEO Sam Altman articulated this vision last year, suggesting that ChatGPT should reflect a weighted average of humanity's moral view
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. Because these companies are not bound to a particular religion, they aim to aggregate moral ideas from multiple traditions to inform their models. Anthropic reported in a May blog post that they had consulted scholars, clergy, philosophers and ethicists from more than 15 religious and cross-cultural groups, with plans to broaden this pool further2
. This approach to AI and philosophy represents an attempt to ground technical development in millennia-old wisdom traditions.
Source: Korea Times
Despite these efforts at ethical AI development, experts caution that the approach risks fundamental oversimplification. Webb Keane, an anthropologist at the University of Michigan, argues that there's a conventional way of thinking of religion as a rulebook, which fails to account for the messy, practical, ad hoc ways adherents actually live their faith
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. The core issue is that religion cannot be easily separated from culture and politics, even though many assume it can be treated as a distinct set of extractable moral principles. Keane warns that using religion to train AI risks prioritizing certain traditions and distorting others, particularly faiths that do not see themselves primarily as systems of ethics. This conventional view is tied to scriptural religion, and scriptural religions ultimately turn out to be the Abrahamic religions, potentially marginalizing other faith traditions1
.Experts and adherents alike warn that the idea of aggregating religious moral guidance fails to reckon with how different traditions and worldviews often contradict one another. The notion that religion in AI can be simplified into compatible moral principles ignores the reality that faith traditions carry fundamentally different assumptions about existential questions ranging from whether humans have souls to practical matters like whether third graders should access chatbots for literacy education
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. Paolo Carozza, a member of the independent Meta Oversight Board, warned that combining traditions in AI could homogenize them rather than allow them to change organically through interaction3
. This risk of homogenization represents a significant concern as companies attempt to navigate cultural complexities in developing ethical frameworks for AI systems.Related Stories
Meghan Sullivan, a philosopher of religion who leads an initiative on AI ethics at the University of Notre Dame, offers an insider perspective on how these consultations actually work. Sullivan attended an Anthropic meeting earlier this year that included Christians from different denominations and was impressed by the rigorous engagement with religion, noting that Anthropic is widely seen as the AI company taking ethics and safety most seriously
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. The meetings are split into two parts: first, the company explains their models in layman's terms to attendees, then faith leaders respond with feedback and discussions. Sullivan described the culture inside Anthropic as similar to that on a good college campus, with intellectually curious people engaging in nerdy discussions about every kind of moral question the technology raises1
. This thoughtful approach suggests that at least some companies are making genuine efforts to engage with the depth and complexity of religious traditions.The turn toward religious consultation for AI ethics signals recognition that technical solutions alone cannot address the profound moral questions raised by increasingly powerful AI systems. Watch for how this engagement evolves: will companies move beyond treating religion as extractable moral principles toward deeper engagement with doctrine, ritual, and relationships? The short-term implication is that AI systems may begin reflecting more diverse ethical inputs, but the long-term concern is whether this approach will genuinely honor the cultural complexities of different faith traditions or simply create a homogenized ethical framework that distorts the very wisdom it seeks to capture. As AI capabilities expand, the question of whose morality gets encoded into these systems becomes increasingly urgent for users, developers, and society at large.
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