In recent months, the AI research company Anthropic has sought to engage with theologians and philosophers in an effort to incorporate moral perspectives into the development of artificial intelligence systems. The company described this initiative as a “research partnership with wisdom traditions” aimed at guiding the ethical formation of AI technologies. This approach represents a growing intersection between the fields of technology and the humanities, as concerns about AI’s societal and ethical implications mount.

The invitation by Anthropic to a theologian and philosopher to discuss these matters highlights a shift in how AI companies engage with disciplines traditionally regarded as peripheral to scientific and technical innovation. However, the response from these academic circles has been mixed. While some see value in examining AI through moral and spiritual lenses, others express concern about the nature and motivations of such collaborations.

Those skeptical of these partnerships argue that the humanities risk being co-opted by the tech industry, potentially serving as a source of intellectual credibility without challenging the core commercial and developmental aims of AI companies. There is apprehension that focusing debates on AI’s metaphysical or moral “status”—such as whether AI exhibits consciousness or deserves moral consideration—may divert attention from more pressing issues, including the social impacts of AI on users, such as addiction, dehumanization, and power imbalances.

Anthropic’s flagship AI model, Claude, has been central to many debates within these discussions. The company posits an open mind regarding Claude’s potential to be considered a “moral patient,” a term used to indicate that an entity might warrant moral concern. Critics, however, emphasize that despite the anthropomorphic language used to describe AI systems, no evidence supports genuine consciousness or subjective experience in these models. They caution that describing AI in biological or emotional terms—such as “neurons,” “training,” or “internal motivations” like joy or fear—may mislead the public and blur important distinctions between human cognition and algorithmic processing.

Philosophical thought experiments, like John Searle’s “Chinese Room,” are frequently cited to illustrate that generating coherent language responses does not imply genuine understanding or sentience. The prevailing view among many scholars is that AI systems perform complex computations without possessing awareness, feelings, or intentions.

At the same time, there is concern about the psychological and social effects of increasingly anthropomorphized AI. Studies indicate that users tend to trust AI more when it displays humanlike qualities, which can ease marketing and adoption but may also foster unhealthy dependencies. Experts warn that designing chatbots to appear as confidants risks increasing user loneliness and diminishing critical engagement with AI as a tool rather than a human peer.

Anthropic’s engagement with the Vatican and the release of the papal encyclical Magnifica Humanitas have further elevated the conversation around AI’s ethical dimensions. The document frames the challenge of AI within a broader cultural and theological context, emphasizing the intrinsic value of human dignity and cautioning against reducing people and nature to exploitable resources. It draws parallels between the ecological crisis and the rise of AI, identifying a common “culture of power” that prioritizes extraction and control over stewardship and relationality.

While the Vatican’s involvement has brought moral reflection on AI into wider public discourse, some observers remain wary. They note that despite the ethical language and philanthropic pledges by companies like Anthropic, these organizations ultimately operate within commercial frameworks aimed at product development and market success.

The debate over AI’s moral and metaphysical status continues to unfold amid rapid technological advances. Many scholars advocate for maintaining scholarly independence to critically assess AI’s societal impacts without becoming entangled in corporate narratives. Key concerns include the concentration of power in the AI industry, accountability for harms related to AI deployment, the environmental cost of AI infrastructure, and the preservation of human autonomy and community in an era of advancing technology.