mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025By fostering a culture that values doubt, embraces complexity, and remains open to revision, science can renew itself and guide society toward discovery rather than dogma. 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025Amid a growing crisis of public trust in science fueled by misinformation and polarization, scientists who openly acknowledge uncertainty are actually perceived as more trustworthy. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025We propose practical strategies including diverse teams, careful AI integration, and metacognitive training to counter our "bias blind spot" and strengthen critical thinking in future scientists and physicians. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025While human evolution optimized our minds for rapid, survival-oriented judgments, the scientific method succeeds by deliberately engaging slower, more analytical thinking that questions assumptions and welcomes revision. 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025This paper argues that cultivating epistemic humility—the practice of acknowledging uncertainty and the limitations of human cognition—is essential for revitalizing science in an era of climate change, pandemics, and AI development. 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025The result is richer for it. I hope you enjoy reading it as much as we enjoyed learning from each other. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025In research, we tend to emphasize what we write about, but the who and how matter just as much, if not more. This collaboration generated more constructive tension than any project I've been part of—continuous pushback, revision, and hard-won consensus. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025www.sciencedirect.com/science/arti... Behind this paper: a physician from Iran, a social scientist from Australia, a behavioral scientist from Norway, a history and philosophy enthusiast from the US, and a data scientist from the US.sciencedirect.comEpistemic humility for physicians and scientists 120
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025Paris December 9, 2025: forms.gle/N6fWuNhWWpuc... Bordeaux December 13, 2025: forms.gle/ZvqX1AizoQzU...forms.gleAI & Health: Rethinking Medicine at the Human–Machine FrontierLa participation est gratuite, mais le nombre de places est limité. Afin de garantir une expérience véritablement interdisciplinaire, nous veillerons à maintenir un équilibre entre les cliniciens, les... 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025Please join us in Paris on December 9, 2025 and/or in Bordeaux on December 13, 2025 to continue our series of collaborative design sessions that will bring together leaders from healthcare, technology, engineering, and creative sectors to reflect, reimagine and reanimate the healthcare system. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025The paintbrush empowers us to reimagine and redesign what we find. And the podium creates space for everyone to share what worked, what failed, and what we learned. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025The flashlight illuminates the systems we're embedded in, revealing structures we often don't even notice. The microscope lets us analyze these systems in detail, identifying both their strengths and their vulnerabilities. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 01/12/2025To ensure AI delivers meaningful value, we need five fundamental tools: a mirror, a flashlight, a microscope, a paintbrush, and a podium. The mirror helps us examine our own motivations and values—ensuring we're building AI for the right reasons. 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 27/10/2025A huge thanks to the MIT Critical Data village behind this essay. I am simply the messenger. 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 27/10/2025www.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.nature.comTeaching machines to doubt - Nature MedicineWe must build safeguards against AI’s most dangerous feature: its ability to stop us thinking critically. 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 13/10/2025Trained, 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. 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 13/10/2025AI 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. 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 13/10/2025Current AI systems are extensions of the human intelligence handpicked by their developers. Like a digital prosthesis, they are tools for their ends, not ours. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 13/10/2025Intelligence 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. 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 13/10/2025datascienceandhealth.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.datascienceandhealth.ubc.caAI & the Future of Medicine: Bridging AI Innovation and Health Equity 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/09/2025And 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 010
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/09/2025commercial 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. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/09/2025The challenge extends beyond curriculum reform. AI deployment in healthcare reveals deeper structural problems: 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/09/2025while 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. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/09/2025Meanwhile, the healthcare system that medical students are preparing to join faces profound systemic failures. It produces more carbon emissions than any other industry... 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/09/2025Current 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 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/09/2025The 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. 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/09/2025Medical 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.) 130
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 02/09/2025Through 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.sites.google.comAI & Faith DialoguesAI & Faith Dialogues 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 02/09/2025The 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?sites.google.comAI & Faith DialoguesAI & Faith Dialogues 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 02/09/2025Rather 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.sites.google.comAI & Faith DialoguesAI & Faith Dialogues 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 02/09/2025How 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.sites.google.comAI & Faith DialoguesAI & Faith Dialogues 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 02/09/2025sites.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“sites.google.comAI & Faith DialoguesAI & Faith Dialogues 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 02/09/2025Bringing 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. 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 02/09/2025The c-index addresses limitations of traditional citation-based measures by recognizing the value of different perspectives and interdisciplinary collaboration in scholarly work. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 02/09/2025In 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. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 02/09/2025arxiv.org/abs/2508.16519 How do we make AI worth its cost? Simple: We fix the world. First up: Publish or perish culture.arxiv.orgThe Community Index: A More Comprehensive Approach to Assessing Scholarly ImpactThe 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 ... 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 26/08/2025The path forward requires dismantling the 'publish or perish' culture and replacing it with a 'learn together and from each other' mindset. 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 26/08/2025www.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.techrxiv.orgThe Rise of "Vibe Science": How AI Threatens Scientific RigorIn 1665, Newton's plague-driven isolation yielded calculus, universal gravitation, and revolutionary optics. Today's scientific enterprise produces more papers monthly than Newton's entire century, ye... 110
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 22/08/2025AI 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 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 22/08/2025Despite 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. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 22/08/2025open.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.open.spotify.comSpotify – Web Player 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 11/08/2025This 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. 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 11/08/2025Vibe coding, which is structured, prompt-driven code generation with LLMs embedded in reproducible workflows, offers one pragmatic response. It aims to compress the idea-to-analysis timeline, reduce staffing pressure on specialized data roles, and maintain rigorous, version-controlled outputs. 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 11/08/2025arxiv.org/abs/2508.00952 Academic laboratories face mounting resource constraints: budgets are tightening, grant overheads are potentially being capped, and the market rate for data-science talent significantly outstrips university compensation.arxiv.org 100
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 11/08/2025arxiv.org/abs/2508.00952arxiv.orgAcademic Vibe Coding: Opportunities for Accelerating Research in an Era of Resource ConstraintAcademic laboratories face mounting resource constraints: budgets are tightening, grant overheads are potentially being capped, and the market rate for data-science talent significantly outstrips univ... 010
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 30/07/2025AI may play a role in addressing critical gaps but not without a well-thought-out design. We cannot simply replace workflows and relationships with algorithms. That is the definition of irresponsible AI. 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 30/07/2025forms.cloud.microsoft/pages/respon... Please join us at the National University of Singapore (NUS) Seminar for Responsible AI for Eldercare on August 27th from 14.00 - 16.30 at MD1, Tahir Foundation Building. The global population is aging while the healthcare workforce is shrinking.forms.cloud.microsoftMicrosoft Forms 300
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/07/2025We will probe medical exam questions and de-identified clinical notes from around the world to look at how constructs such as pain and errors are semantically represented across cultures. 000
mitcriticaldata.bsky.social @mitcriticaldata.bsky.social · 23/07/2025sites.google.com/view/mithic-... A meeting of the hearts and souls at MIT. Please join us on August 18th (Monday) for a day of reflection in this age of AI. MIT Critical Data and MIT Global Languages partnered to explore the bias of language itself and how language models might shape human behavior.sites.google.comMITHIC Datathon 100
