www.nature.com/articles/s41... We need AI that will keep humans on the rails, and humans that will keep AI on the rails. Bruno Latour would say AI systems aren't neutral tools but active participants in networks that reconfigure relationships between humans, institutions, and knowledge production.
Trained, fine-tuned and finally monetized by humans operating in a capitalist world, AI exhibits the behavior of those who create it. Confident, dominant, all-knowing, designed to impress and designed to please, because after all, it is optimized for profit.
AI systems rely entirely on human-generated data, not all of it, but those easily accessed by their creators, as far as their eyes can see, but not those hiding in plain sight: bodies of knowledge from religions, non-Western civilizations, and from indigenous communities.
Current AI systems are extensions of the human intelligence handpicked by their developers. Like a digital prosthesis, they are tools for their ends, not ours.
Intelligence evolved as a way for living systems to resist entropy, the universal drift toward disorder. It is life’s strategy for maintaining itself in an ever-degrading universe.
datascienceandhealth.ubc.ca/events/ai-fu... Join us at the AI & Future of Medicine at the University of British Columbia in Vancouver, Canada on November 15-16, 2025 as we forge a path forward in the chaos that the AI hype has wrought.
And now, medical students entering this environment face a world where hospitals already use AI systems trained on historical data marinated in unconscious biases in daily decision-making, while receiving hardly any training on how to critically evaluate these tools or understand their limitations
commercial interests that prioritize profit over patient outcomes, evaluation systems that reward individual expertise over collective wisdom and historical roots of a knowledge creation system tinged with racism and sexism, among other epistemic injustices.
while deaths from preventable medical errors have risen from 96,000 deaths annually based on the "To Errr is Human" report from the Institute of Medicine published in 1999 to a staggering 800,000 based on recent estimates, despite billions invested in patient safety initiatives.
Meanwhile, the healthcare system that medical students are preparing to join faces profound systemic failures. It produces more carbon emissions than any other industry...
Current medical education perpetuates epistemic injustices by training students on knowledge derived from observations of white men in rich countries, then expecting these findings to apply universally. This approach creates physicians who are unprepared to serve diverse populations effectively
The integration of artificial intelligence (AI) into medical practice necessitates a complete reimagining of how we prepare future physicians, but this transformation cannot succeed without simultaneously addressing the systemic failures that plague healthcare delivery.
Medical education does not exist in a vacuum, and attempts to reform it in isolation are fundamentally inadequate if the broader healthcare system remains broken.
(The illustration is provided by Dancing with Markers.)
Through dialogues and workshops, participants will discuss AI development and use that recognize its transformative potential but also the irreplaceable value of human connection.
The event addresses critical questions: How might AI reshape human relationships and community bonds? What safeguards ensure technology serves rather than supplants our mission to care for others?
Rather than approaching AI as merely a technological advancement, we explore it through the lens of Catholic social teaching, emphasizing human dignity and our responsibility to protect the most vulnerable.
How do we make AI worth its cost? By harnessing it to address humanity's greatest challenges. This conference brings together religious leaders, researchers, and lay communities to examine both AI's promise and its inherent risks.
Bringing people that don't think alike provides protection against the formation of echo chambers (but only if power dynamics within is minimized). Hubris and echo chambers trample disruptive ideas by doubling down on the status quo.
The c-index addresses limitations of traditional citation-based measures by recognizing the value of different perspectives and interdisciplinary collaboration in scholarly work.
In this paper, we introduce the community index, or c-index, a new metric designed to measure the richness of research collaborations across gender, geography, and academic disciplines.
