The Transformative Power of AI in Healthcare: Insights from Pope Leo XIV’s Encyclical
In our work supporting healthcare organizations, we witness daily how AI tools are transforming the industry. Pope Leo XIV’s first encyclical, Magnifica Humanitas, acknowledges the dual nature of these transformations, recognizing both their positive and negative aspects.
While AI technology can surpass human intelligence in speed and computing capacity, offering tangible benefits in many areas, these benefits may not be evenly distributed. Pope Leo warns against assuming that new technologies will automatically benefit everyone, highlighting the need to preserve humanity and shape the future thoughtfully.
Although Magnifica Humanitas lacks regulatory power, it imparts significant lessons for the healthcare industry as AI adoption grows. The papal letter advocates for a conscious, governance-oriented approach to AI, emphasizing human dignity and compassionate care. Catholic health systems may be more inclined to follow these guidelines, but it’s advisable for secular and other sectarian organizations to consider this guidance as well.
A Governance-First Approach to AI in Healthcare
For organizations considering new AI tools, the encyclical offers a doctrinal basis for a governance-first approach. Paragraphs 105-106 stress the importance of defining responsibility at every stage of AI deployment, advocating for prudence, rigorous evaluation, and sometimes a slower adoption pace as part of responsible care for humanity.
The encyclical warns that AI designers often impose their moral code on systems. Those deploying AI must confirm the alignment of AI with organizational values, requiring active judgment, continuous monitoring, and control. Human-centered AI governance is the standard to strive for, avoiding decisions based solely on machine utility or efficiency.
In healthcare, where life-and-death situations are common, unforeseen AI consequences can have severe impacts. A permanent governance path should include documented policies and procedures to ensure meaningful human oversight, clarifying how AI supports human decision-making.
Addressing Bias, Discrimination, Privacy, and Ethics in AI
Pope Leo’s encyclical highlights the risks of AI-based decisions, particularly their potential to discriminate against vulnerable populations under a facade of neutrality. In healthcare, this includes AI tools for patient data management, risk assessment, and resource allocation.
Both health law and Catholic social teaching emphasize anti-discrimination obligations based on human dignity. Magnifica Humanitas identifies health data as a sensitive power concentration, echoing existing legal obligations like HIPAA, the Affordable Care Act, and AI-specific regulatory guidance on verifiability and bias testing.
Positive values and ethics should be integral to AI audits and system design. Automated systems lack compassion, mercy, and recognition of human changeability. Delegating decisions to such systems risks creating new forms of exclusion. Healthcare organizations must ensure AI tools align with patient dignity and ethical standards.
This also applies to supplier relationships, advocating for algorithmic transparency, bias checks, and third-party data stewardship, aligning with the encyclical and evolving government AI regulations.
Focusing on Human Connection and Responsibility in Care
Magnifica Humanitas warns against artificial caring, which can erode real human connections. This concern relates to patient rights doctrines involving communication, language access, and the therapeutic relationship.
AI communication tools can reduce costs and improve scalability but may harm trust, increase complaints, and trigger regulatory scrutiny. Rebuilding trust and redesigning systems can outweigh initial savings if AI adoption is rushed.
Human dignity and relationships are central to the encyclical: technology must enhance human processes and relationships rather than displace them. Organizations that prioritize human judgment, accountability, and patient dignity will meet the encyclical’s challenge, avoiding efficiency as the sole value measure.
Long-Term Perspectives on AI in Healthcare
The approach outlined by Magnifica Humanitas requires decision-makers to look beyond short-term financial impacts. Organizations relying on governance principles from the encyclical, alongside frameworks like the EU AI Law, NIST AI Risk Management, and OECD AI Principles, are better prepared for an evolving world.
These organizations pose challenging questions to providers, demand tool explainability, and avoid quick introductions that can lead to errors. This careful approach reduces legal liability and reputational or financial damage, emphasizing deliberate implementation over avoidance or undue delay.
Though it may temporarily halt progress, a long-term, targeted AI approach enhances healthcare quality, measuring success by care quality and recognizing individuals as more than functions.
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