To train AI models that perform well in real-world applications, you need high-quality data—and as much of it as possible. In principle, AI can be used in all industries, fields, and environments; people are experimenting with it, testing it, and sometimes discarding it. In some fields, such as medicine or disaster response, there are high hopes for AI, yet it is precisely in these areas where training data is often scarce—and, most importantly, where serious errors must be avoided.

For anyone who is sick and looking for an answer to the question of what their symptoms mean, a diagnosis can be helpful. That sounds easier than it is, because it’s not always possible to clearly link symptoms to a specific disease. Individual factors or pre-existing conditions can influence the course of a disease to such an extent that diagnosis becomes difficult. And sometimes the condition is a rare disease, one of the characteristics of which is that there is comparatively little empirical data available about it.

Internet Use as Everyday Religion on the Rise, Cyborgization Still in its Early Stages

我的老师是二十年前教师节离世的。从此我所有的教师节都是黑色的。我的世界里，恩师是永绝此岸的幽人，高维度的存在。逝者如逝水，东方哲思的旷达完全不同于阿兹特克文化中的亡灵。我知道幽人不会余一缕残魂，更不需要来自俗世的祭奠与纪念。我的所思所想根本无法抵挡幽人所在的彼岸，只与我有关。之所以在这里写下这些无用的文字，是因为郑老师人格与智慧的万丈光芒穿透二十年的悠悠岁月仍然投射在我微末的生命之上，继续照亮前路。效颦鲁迅感怀藤野先生所言，每当困窘倦怠，正想偷懒时，忆及恩师不偷懒不灰心之语，便使我忽又良心发现，继续无怨无悔力所能及死而后已。

Imagine a journalist investigating corruption, an activist documenting human rights abuses, or a civil society organization exposing government wrongdoing. The technology they once thought belonged only to the realm of law enforcement can now be used to watch, track, and intimidate them.
Commercial spyware, developed by private companies and sold to governments as a tool for fighting crime, has been repurposed into a powerful instrument of digital surveillance.

The Policy Innovation Lab has been appointed as the South African expert node for the AI Policy Observatory, a global initiative led by the University of Zurich (Switzerland) and Kyoto University (Japan).

In unserem Alltag sehen wir immer häufiger KI-generierte Bilder und Texte. Zum Beispiel die Darstellung einer Gruppe junger Ärzte. Erfahren wir, dass dieses Bild mit KI erstellt wurde, suchen wir vielleicht nach Fehlern oder Auffälligkeiten. Viele kennen Beispiele für Logikfehler, falsch generierte Hände oder erfundene Fakten in Texten. Forschende machen allerdings auch auf eine Art von Fehler aufmerksam, der oft weniger offensichtlich ist: systematische Darstellungsverzerrung in KI-generierten Medieninhalten.

Die Julius-Maximilians-Universität Würzburg (JMU) zählt zu den forschungsstarken Universitäten Deutschlands und genießt auch international eine hohe Sichtbarkeit. Das zeigt das „Academic Ranking of World Universities (ARWU) 2026“, besser bekannt als ShanghaiRanking.
Im weltweiten Vergleich von rund 2.500 Universitäten erreicht die JMU Platz 202. Damit gehört sie zu den besten zehn Prozent. Auch im nationalen Vergleich schneidet sie sehr gut ab: In Bayern belegt die JMU Rang drei, deutschlandweit liegt sie auf Platz zwölf.

Depoimento - Erica Bakonyi
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Participação em Pesquisa
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Die MS Wissenschaft ist ein 100 Meter langes Binnenfrachtschiff, das aktuelle Forschung als schwimmende Ausstellung in verschiedene Städte bringt. Seit Mai ist sie im Rahmen des Wissenschaftsjahres 2026 unter dem Motto „Medizin der Zukunft“ unterwegs und steuert insgesamt rund 35 Städte an. An Bord sind rund 30 Ausstellungsstücke zu sehen.

Case Study #119 – Child Protection in the Digital WorldDownload

Un espacio que reunirá a especialistas del mundo público y privado para comprender los cambios que se están definiendo en áreas como inteligencia artificial, ciberseguridad, protección de datos personales y regulación de plataformas digitales, entre otras.

El Programa de Derecho, Ciencia y Tecnología UC estrenó “Derecho y Futuro”, un nuevo podcast que busca acercar a distintas audiencias las discusiones y transformaciones que la tecnología está generando en el derecho, las instituciones y la sociedad.

The Policy Innovation Lab believes that AI, used responsibly, can improve policymaking, governance and service delivery. Members of the Lab recently published the CRAFT principles for responsible AI use in government. In this article, we demonstrate an example of how the Lab put these principles into practice when using Large Language Models (LLMs) to analyse South Africa’s national budget. We begin by looking at the analysis itself before discussing the methods for responsible LLM use.
Analysing the National Budget

Seit zehn Jahren steht der Italiener Gianni Infantino als Präsident an der Spitze der Fédération Internationale de Football Association, kurz FIFA.
Er ist nicht nur eine der mächtigsten Personen im Weltsport, sondern auch eine der am stärksten kritisierten – und dennoch so sicher auf seinem Posten wie kaum ein anderer Funktionär.

The rapid expansion of generative AI, cloud computing and cryptocurrency is driving unprecedented demand for data centres. Governments increasingly treat these facilities as essential infrastructure and compete to attract them through accelerated permitting, public subsidies and preferential access to energy and land. At the same time, communities are beginning to contest their demands on electricity, water and territory, as well as the secrecy surrounding their environmental and fiscal consequences.

“The inspiration behind having the Summer School was twofold. We want to advance the field of sandboxes — what we call building a science — but we also want to create a community. Those two things reinforce one another.”

— Lorrayne Porciuncula, Executive Director of the Datasphere Initiative.

Navigating fast-moving digital innovation is increasingly a test of institutional adaptability.