A huge thanks to the MIT Critical Data village behind this essay. I am simply the messenger.

Teaching machines to doubt - Nature Medicine We must build safeguards against AI’s most dangerous feature: its ability to stop us thinking critically.

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.

The challenge extends beyond curriculum reform. AI deployment in healthcare reveals deeper structural problems:

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.)

AI & Faith Dialogues AI & Faith Dialogues

Through dialogues and workshops, participants will discuss AI development and use that recognize its transformative potential but also the irreplaceable value of human connection.

Please register here: sites.google.com/view/ai-fait...
The event will be livestreamed on Facebook.

AI & Faith Dialogues AI & Faith Dialogues

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?

AI & Faith Dialogues AI & Faith Dialogues

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.

AI & Faith Dialogues AI & Faith Dialogues

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.

AI & Faith Dialogues AI & Faith Dialogues

sites.google.com/view/ai-fait...
Please join us at the Vatican on September 8th for dialogues around AI and faith.

"Faith and Artificial Intelligence: Using language models to promote human connection“

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.

The Community Index: A More Comprehensive Approach to Assessing Scholarly Impact The h index is a widely recognized metric for assessing the research impact of scholars, defined as the maximum value h such that the scholar has published h papers each cited at least h times. While ...

arxiv.org/abs/2508.16519
How do we make AI worth its cost? Simple: We fix the world. First up: Publish or perish culture.

The path forward requires dismantling the 'publish or perish' culture and replacing it with a 'learn together and from each other' mindset.

www.techrxiv.org/users/953594...
We are at a critical juncture where AI could either extend scientific progress or flood the literature with confident mirages—scientific deepfakes that erode the trust science needs to correct itself.

AI offers the seductive promise of knowledge without learning, potentially eroding human agency unless we deliberately design protective mechanisms. Like Odysseus binding himself to the mast we must build beeswax into these systems to shield us from AI's enchanting but potentially destructive allure

Despite all the concerns we have been voicing about the risk of harm from AI, we remain hopeful that we will surmount the challenge of fixing a broken world by leveraging AI to enhance human virtues.

open.spotify.com/show/7w2YAD1...
For those who were not able to attend last Monday's event on the bias of language and how LLMs will shape the course of society, here is a link to the audio recordings of the talks and panel discussions.

This article defines the vibe coding concept, situates it against the current academic resourcing crisis, details a beginner-friendly toolchain for its implementation, and analyzes inherent limitations that necessitate governance and mindful application.