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Alena Buyx on Muck Rack

Alena Buyx

As seen in: Nature, PLOS, The Conversation, ZDF, Die Zeit, FOCUS, The Lancet, EBioMedicine, International Journal of Epidemiology, ZDFheute and
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Articles

BRIDGE pilot study: a bilateral regulatory investigation of data governance and exchange - npj Digital Medicine

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By Helen Hou, Tom Bisson, Sophia Leiss, Julia Thierauf, Ariel Stern, Hendrik Strobelt, Felix Nensa, Alena Buyx, Katharina M. Huster, Kira Furlano, Zisis Kozlakidis, Sachin Gupta, Danko Kostadinov, Peter Boor, Anna Slagman, Thorsten Tjardes, Pierre Cholet, Nick Schneider, Thorsten Schlomm, Saskia Biskup, Rainer Röhrig, Fruzsina Molnár-Gábor, Uta Schmidt-Straßburger, Katharina Ladewig, Marcel Weigand, Jason Johnson, Toralf Kirsten, Eric Sutherland, Norman Zerbe, Albert Hofman, Ralf Heyder, Georg Schmidt, Jochen K. Lennerz
| Nature Verified
Abstract National privacy laws diverge between the European Union and United States, hindering transatlantic health data exchange and slowing AI-driven medical innovation. In response, the German Ministry of Health launched the pre-competitive Data for Health initiative, leading to the BRIDGE Pilot Study (2023–2025), a researcher-led effort to address this regulatory and legal gap.
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KI wird bleiben - Wie können wir sie verantwortungsvoll für unsere Kinder nutzen?

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By Alena Buyx
| ZDFheute Verified
Vor wenigen Monaten wurde aus den USA ein Fall bekannt, der viele erschütterte: Ein Jugendlicher hatte sich über Monate hinweg in Gespräche mit einer KI-Anwendung vertieft - so sehr, dass er die künstliche Gesprächspartnerin schließlich als wichtigste Bezugsperson empfand. Nach und nach geriet er in eine psychische Abwärtsspirale. Er isolierte sich zunehmend von den Menschen in seinem Leben, auch seiner Familie.
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(Predictable) performance bias in unsupervised anomaly detection

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By Svenja Breuer, Alena Buyx, Felix Meissen, Moritz Knolle
| EBioMedicine Verified
Research in context We searched PubMed, Scopus and Google Scholar for Machine Learning and Deep Learning studies related to “unsupervised anomaly detection”, “fairness”, “model bias”, and “intersectionality” before August 2023. The list of publications was complemented by the authors’ knowledge of the body of literature and suggestions from colleagues.
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