ai

Weather forecasting is critical for a range of human activities including transportation, agriculture, industry, as well as the safety of the general public. Over the last two years, machine learning models have shown that they have the potential to transform the complex weather prediction pipeline, but current approaches still rely on numerical weather prediction (NWP) systems, limiting forecast speed and accuracy. In this talk, some of the background on these developments will be given. A new generation of machine learning model will then be introduced which can replace the entire operational NWP pipeline. Aardvark Weather, an end-to-end data-driven weather prediction system, ingests raw observations and outputs global gridded forecasts and local station forecasts. Further, it can be optimised end-to-end to maximise performance over quantities of interest. It will be shown that the system outperforms an operational NWP baseline for multiple variables and lead times for gridded and station forecasts. Finally, the talk will end by discussing how these ideas might develop over the next few years, including their application to multiple parts of the Earth system on multiple time-scales, and their potential impact on climate modelling.

Institutions

• AI for Good

What is AI Perspectives?

AI Perspectives is a new series of events that explores important questions in the field of AI addressing specialists of various disciplines from the natural sciences, the humanities and the arts.

Overview

AI is everywhere. Also at DESY. High time to launch its interdisciplinary research forum AI Perspectives focusing on AI and reflecting the trans- and interdisciplinary field that is Artificial Intelligence. We at DESY are interested in looking at the innovative field from a variety of different angles and discuss them with the public. This is why DESY sets up an interdisciplinary research forum on AI.

The research forum will be divided into two different events: an academic workshop seminar as well as a public panel discussion in the evening with the invited public. Participants are primarily young academics and artists, scientists and philosophers working in the field of AI. For the evening event the public is invited to join in the conclusions and preliminary results of the workshop session earlier in the day and pose their own pressing questions to the interdisciplinary group. The workshop seminar will be conducted in English, while the evening event will be in German.

bAIome Center for biomedical AI (UKE) and Bernhard Nocht Institute for Tropical Medicine (BNITM) will host the seminar series entitled “AI in biology and Medicine”. This series aims to capture a broad audience and promote cross institutional collaboration. Our expert speakers will give an overview and insight into particular AI/data science methods being developed in key areas of biology and medicine. We will have drinks and snacks following each seminar to facilitate exchange.

René Werner, Institute for Applied Medical Informatics, UKE

For further details and hybrid links, please go to the webpage AI in Biology & Medicine

As the number of job applications increase, hiring managers have turned to artificial intelligence (AI) to help them make decisions faster, and perhaps better. Where once each manager did their own first rough cut of files, now third party software algorithms sort applications for many firms. Human mistakes are inevitable, but fortunately heterogenous. Not so with machine decision-making. Relying on the same AI systems means that each firm makes the same mistakes and suffering from the same biases. When the same person re-encounters the same model again and again, or models trained on the same dataset, she might be wrongly rejected again and again. In this talk, I will argue that it is wrong to allow the quirks of an algorithmic system to consistently exclude a small number of people from consequential opportunities, and I will suggest solutions that can help ameliorate the harm to individuals.

Prof. Dr. Kathleen A. Creel (Northeastern University, Boston, MA, USA)

Kathleen Creel is an Assistant Professor at Northeastern University, cross appointed between the Department of Philosophy and Religion and Khoury College of Computer Sciences. Her research explores the moral, political, and epistemic implications of machine learning as it is used in non-state automated decision making and in science. She co-leads Northeastern’s AI and Data Ethics Training Program and is a winner of the International Association of Computing and Philosophy’s 2023 Herbert Simon Award.

Institutions

• UHH

Anmeldung hier

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

Institutions

• Artificial Intelligence Center Hamburg (ARIC) e.V.

The impact of artificial intelligence on society is so profound that it can be considered to be disruptive. AI does not only have radical consequences for society - as is expressed by the concept of ‘the Fourth Revolution’ and ‘Society 5.0’ that is emerging from that - but also for ethics itself. Technologies have become ethically disruptive, in the sense that they challenge and affect the very concepts with which we can do ethics in the first place. What do’ agency’, ‘responsibility’ and ‘empathy’ mean when artificial agents are entering society? What does ‘democratic representation’ mean when AI systems interfere with the very idea of representation itself? What can the notion of ‘the humane’ still mean when AI systems become an intrinsic part of human actions and decision-making? This talk will explore phenomenon of ethical disruption in detail, by investigating the various ways in which technologies – and not only human beings – can be ethically significant. Breaking the human monopoly on ethics and expanding it towards technology will make it possible to connect ethics more directly to practices of design. The resulting ‘Guidance Ethics Approach’ enables bottom-up ethical reflection that can foster the responsible design, implementation and use of new and emerging technologies. 

Prof. Dr. Peter-Paul Verbeek (Universiteit van Amsterdam, NL)

Peter-Paul Verbeek (1970) is Rector Magnificus and professor of Philosophy and Ethics of Science and Technology at the University of Amsterdam. His research and teaching focus on the relationship between humans and technology, viewed from an ethical perspective and in close relation to design. He is chair of the UNESCO World Commission for the Ethics of Science and Technology (COMEST), editor-in-chief of the Journal of Human-Technology Relations, and editor of the Lexington book series in Postphenomenology and the Philosophy of Technology. More information: www.ppverbeek.nl

Institutions

• UHH

Professor Christoph Kumpan and Professor Georg Ringe would like to invite you to the NAIL Research Seminar #17 with Ass. Prof. David Restrepo Amariles (HEC Paris). The event will be held in English and will take place in person. You can also participate online by registering your participation via mail.

The Digital Services Act (DSA) of the European Union targets content moderation challenges, such as the dissemination of illegal content and disinformation, which are recognized as systemic risks. This presentation delves into the effectiveness of algorithms and crowdsourced moderation in meeting the obligations of Very Large Online Platforms (VLOPs) under the DSA concerning content moderation. Specifically, it examines the propagation of disinformation via X and evaluates the effectiveness of both human and algorithmic aspects of its content moderation processes, particularly Community Notes, on the spread of such content. We have created a dataset of Community Notes and corresponding tweet data since September 2023 to analyze content moderation and tweet diffusion. Employing topic modeling and a difference-in-difference methodology, the research quantifies the impact of Community Notes on tweet diffusion, demonstrating a significant reduction. Despite the observed effectiveness, the study highlights the need for enhanced content moderation strategies to address the rapid spread of misinformation. The findings of this study are pertinent for understanding the collaboration required among legal, technological, and regulatory stakeholders to uphold the DSA.

Institutions

• Network for Artificial Intelligence and Law (NAIL)

Im digitalen Zeitalter ist die Künstliche Intelligenz (KI) ein zentrales Diskussionsthema. Welche Chancen bietet KI, welche Gefahren birgt sie? Und wie funktioniert sie überhaupt? Können Algorithmen die menschliche Kreativität ersetzen oder sogar übertreffen? Diese Fragen stellt die Ausstellung „Can You Hear It? Musik und Künstliche Intelligenz” im MK&G und präsentiert verschiedene Anwendungen von KI auf dem Gebiet der Musik. Das Spektrum der Themen ist vielfältig und reicht von dem Einsatz der KI in Streamingdiensten über Emotionalität in der Filmmusik, neue Erkenntnisse der Musikethnologie und der Instrumentenakustik bis hin zu Hip-Hop als politisches und globalisiertes Phänomen. Die Besucher*innen können die multimedialen und interaktiven Stationen der facettenreichen Ausstellung auf spielerische Weise erkunden.

Die Ausstellung ist eine Kooperation des MK&G mit dem Institut für Systematische Musikwissenschaft der Universität Hamburg sowie  Musicube, Elbsilber und Ohrfilm. Mit freundlicher Unterstützung der Volkswagenstiftung, der Körber-Stiftung und der Merck Finck Stiftung.

Institutions

• Institut für Systematische Musikwissenschaft der Universität Hamburg

Jeffrey Ding (George Washington University): Reputation Collectives: How International Industry Associations Influence China's Safety Standards in High-Risk Technologies

Artificial intelligence is rapidly transforming societies, economies, and political systems worldwide, and China is emerging as a central actor in shaping the governance of these technologies. This lecture series explores the multiple dimensions of AI governance in China, from state regulation and the role of AI in public administration to societal engagement with AI technologies.

The lectures highlight how China’s AI ambitions intersect with broader global trends and geopolitical tensions. The rise of generative AI has intensified the U.S.–China technological and strategic competition, introducing new complexities to the traditional security dilemma. At the same time, Chinese efforts to regulate and promote AI domestically reflect broader concerns over economic competitiveness, social stability, and regime security. The BCCN lecture series shed light on how AI is reshaping power relations, technological competition, and everyday life.

Join us online and in person for six lectures featuring leading scholars, including: Jinghan Zeng (City University of Hong Kong), Hui Zhou and Genia Kostka (Freie Universität Berlin) and Angela Huyue Zhang (USC Gould School of Law), Eddie Yang (Purdue University), David Yang (Harvard University) and Jeffrey Ding (George Washington University).

Hosted by the Berlin Contemporary China Network (BCCN), the China Competence Training Center (CCTC) and SCRIPTS, the 2025/26 winter term lecture series is conceptualized by Prof. Dr. Genia Kostka and Anton Bogs from Freie Universität Berlin.

Registration here

Institutions

• Institut für Asien- und Afrikawissenschaften, Humboldt-Universität zu Berlin 

Eddie Yang (Purdue University): Propaganda is Already Influencing Large Language Models: Evidence from Training Data, Audits, and Real-world Usage

Artificial intelligence is rapidly transforming societies, economies, and political systems worldwide, and China is emerging as a central actor in shaping the governance of these technologies. This lecture series explores the multiple dimensions of AI governance in China, from state regulation and the role of AI in public administration to societal engagement with AI technologies.

The lectures highlight how China’s AI ambitions intersect with broader global trends and geopolitical tensions. The rise of generative AI has intensified the U.S.–China technological and strategic competition, introducing new complexities to the traditional security dilemma. At the same time, Chinese efforts to regulate and promote AI domestically reflect broader concerns over economic competitiveness, social stability, and regime security. The BCCN lecture series shed light on how AI is reshaping power relations, technological competition, and everyday life.

Join us online and in person for six lectures featuring leading scholars, including: Jinghan Zeng (City University of Hong Kong), Hui Zhou and Genia Kostka (Freie Universität Berlin) and Angela Huyue Zhang (USC Gould School of Law), Eddie Yang (Purdue University), David Yang (Harvard University) and Jeffrey Ding (George Washington University).

Hosted by the Berlin Contemporary China Network (BCCN), the China Competence Training Center (CCTC) and SCRIPTS, the 2025/26 winter term lecture series is conceptualized by Prof. Dr. Genia Kostka and Anton Bogs from Freie Universität Berlin.

Registration here

Institutions

• Institut für Asien- und Afrikawissenschaften, Humboldt-Universität zu Berlin 

David Y. Yang (Harvard University): Government as Venture Capitalists in AI

Artificial intelligence is rapidly transforming societies, economies, and political systems worldwide, and China is emerging as a central actor in shaping the governance of these technologies. This lecture series explores the multiple dimensions of AI governance in China, from state regulation and the role of AI in public administration to societal engagement with AI technologies.

The lectures highlight how China’s AI ambitions intersect with broader global trends and geopolitical tensions. The rise of generative AI has intensified the U.S.–China technological and strategic competition, introducing new complexities to the traditional security dilemma. At the same time, Chinese efforts to regulate and promote AI domestically reflect broader concerns over economic competitiveness, social stability, and regime security. The BCCN lecture series shed light on how AI is reshaping power relations, technological competition, and everyday life.

Join us online and in person for six lectures featuring leading scholars, including: Jinghan Zeng (City University of Hong Kong), Hui Zhou and Genia Kostka (Freie Universität Berlin) and Angela Huyue Zhang (USC Gould School of Law), Eddie Yang (Purdue University), David Yang (Harvard University) and Jeffrey Ding (George Washington University).

Hosted by the Berlin Contemporary China Network (BCCN), the China Competence Training Center (CCTC) and SCRIPTS, the 2025/26 winter term lecture series is conceptualized by Prof. Dr. Genia Kostka and Anton Bogs from Freie Universität Berlin.

Registration here

Institutions

• Institut für Asien- und Afrikawissenschaften, Humboldt-Universität zu Berlin 

Der Workshop begleitet den MMKH-Kurs “KI-Kompetenzen an Hochschulen” und bietet Ihnen die Möglichkeit, die Inhalte des Kurses zu vertiefen, Fragen zu stellen und Themen zu diskutieren.

Ziel: KI-Kompetenzen vertiefen nach den Anforderungen des AI-Acts.

Ablauf: Input, Fragen und Diskussionsmöglichkeiten wechseln sich im Workshop ab.

Zielgruppe: alle Lehrenden

Voraussetzungen: Bearbeitung des MMKH Kurses „KI Kompetenzen an Hochschulen“ Kurs: KI-Kompetenz an Hochschulen | HOOU

Hier können Sie sich anmelden.

Institutions

• Zentrum für Lehren und Lernen (ZLL)