PennSurgery
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@pennsurgery
PENN SURGERY is dedicated to high quality patient care, education, basic science and clinical research. #upenn #pennsurgery #PennProud
Our paper is the 5th most read paper in PNAS Nexus of the last year 🎉. The article makes a simple point: Generative AI will produce a socioeconomic earthquake. Not because all inequalities will increase. This would be too easy. Some inequalities will increase. Others will decrease. And the result is that the socioeconomic landscape will barely be recognizable. In the information domain, generative AI can democratize content creation and access, but also dramatically expand the production and spread of misinformation. In the workplace, it can boost productivity and create new jobs, but the benefits will likely be distributed very unevenly. In education, it can enable personalized learning, but also widen the digital divide. In healthcare, it can improve diagnostics and accessibility, but also deepen pre-existing inequalities. This is why we need to stop asking only whether AI is "good" or "bad". The real question is: For whom? In which domain? Under which institutional conditions? * Full paper in the first comment. Thanks, once again, to all collaborators without whom this work would have not been possible: @AustinLentsch @DAcemogluMIT @SelinAkgun9 Aisel Akhmedova @EBilancini @JFBonnefon @BehSnaps @lu_butera @Karen_Douglas @JimACEverett Gerd Gigerenzer @chrisgreenhow @Laparoscopes @PCASOLab @jholtlunstad @jetten_j @baselinescene @werkunz @longoni_chiara Pete Lunn @simone_natale Stefanie Paluch @iyadrahwan Neil Selwyn @viveksinghmed @ssuri Jennifer Sutcliffe @JoePTomlinson @Sander_vdLinden @PaulvanLange @FriederikeWall @jayvanbavel Riccardo Viale
